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(Radiology. 1999;211:799-806.)
© RSNA, 1999


Neuroradiology

Diffusion-weighted Imaging with Navigated Interleaved Echo-planar Imaging and a Conventional Gradient System1

Roland Bammer, MSc, Rudolf Stollberger, PhD, Michael Augustin, MD, Josef Simbrunner, MD, Hans Offenbacher, MD, Hendrik Kooijman, PhD, Stefan Ropele, PhD, Peter Kapeller, MD, Paul Wach, PhD, Franz Ebner, MD and Franz Fazekas, MD

1 From the Magnetic Resonance Institute (R.B., R.S., J.S., H.O., S.R., F.E., F.F.) and the Depts of Neurology (R.B., M.A., H.O., S.R., P.K., F.F.) and Radiology (J.S., F.E.), University of Graz, Auenbruggerplatz 9, A-8036 Graz, Austria; Philips Medical Systems, Hamburg, Germany (H.K.); and the Institute of Electrical and Biomedical Engineering, Graz University of Technology (P.W.). Received Feb 5, 1998; revision requested Mar 25; revision received Sep 29; accepted Nov 5. Supported in part by grants from Gemeinnützige Hertie Stiftung (R.B., S.R.) and the Faculty of Electrical Engineering, Graz University of Technology (R.B.). Address reprint requests to R.S.


    Abstract
 TOP
 Abstract
 Introduction
 MATERIALS AND METHODS
 RESULTS
 DISCUSSION
 References
 
PURPOSE: To demonstrate the technical feasibility and precision of a navigated diffusion-weighted (DW) MR imaging method with interleaved echo-planar imaging and test its diagnostic sensitivity for detection of ischemic stroke.

MATERIALS AND METHODS: Apparent diffusion coefficient (ADC) measurements were performed in phantoms, and six healthy adult volunteers were examined to determine intrasubject (precision) and intersubject (reference range) variations in absolute ADC and relative ADC (rADC) measurements. DW imaging maps and lesion rADC values were also obtained in 34 consecutive stroke patients to evaluate the sensitivity and reliability of DW-interleaved echo-planar imaging for detection of ischemic brain damage.

RESULTS: Phantom and volunteer ADC values were in excellent agreement with published data. The intrasubject variation of rADC was 6.2%. The ADC precision ranged from 6.5% in the subcortical white matter in the frontal lobe to 12.9% in the head of the caudate nucleus. Interleaved echo-planar imaging enabled rapid acquisition of high-quality images of the entire brain without substantial artifacts. Within the 1st week, the sensitivity of DW-interleaved echo-planar imaging for detection of acute infarction was 90% (18 of 20 true-positive studies) and independent of lesion location.

CONCLUSION: DW-interleaved echo-planar imaging with phase navigation and cardiac triggering is robust, reliable, and fast. With high sensitivity for detection of early ischemic infarction, it is useful for examining stroke patients by using MR systems with conventional gradient hardware.

Index terms: Brain, infarction, 13.78 • Brain, MR, 13.121412, 13.121416, 13.12146 • Magnetic resonance (MR), diffusion study, 13.121412, 13.121416, 13.12146 • Magnetic resonance (MR), echo planar, 13.121416 • Magnetic resonance (MR), tissue characterization, 13.121412, 13.121416, 13.12146


    Introduction
 TOP
 Abstract
 Introduction
 MATERIALS AND METHODS
 RESULTS
 DISCUSSION
 References
 
Approximately 150,000 individuals have cerebral infarctions each year, which makes this disease the third leading cause of mortality in the United States (1). Diffusion-weighted (DW) imaging has been shown to contribute substantially to the early detection of cerebral ischemic damage, primarily because it reveals tissue changes prior to the appearance of signal intensity alterations on T2-weighted images (28). Considering the short therapeutic window for effective stroke treatment, such as systemic thrombolysis with recombinant tissue-type plasminogen activators (9), the need for early detection of the ischemic injury becomes even more apparent. In addition, DW imaging may provide insights into the development of infarction, including the viability of tissue, and it could help to estimate the age of a lesion owing to the typical time course of the apparent diffusion coefficient (ADC). The role of DW imaging in the detection of other disorders of the brain also needs to be explored.

Several problems may limit the widespread clinical use of DW imaging. Because of the inherent motion sensitivity of DW imaging, a patient's involuntary head motion or brain pulsation (10,11) can degrade images substantially. When the standard two-dimensional Fourier reconstruction method is used, severe ghost artifacts that render the DW image useless can occur because the phase changes that are introduced may be different for each particular phase-encoding step. In addition to mechanical restraints, different methods have been proposed to overcome this problem. These methods include (a) single-shot (1215), (b) line scanning (16), (c) projection reconstruction (17), (d) bipolar gradient (18), and (e) navigator-echo (1924) techniques. The following strategies are used to avoid ghost artifacts in these methods: (a) maintaining equal phase error in each phase-encoding step, (b) data acquisition without phase encoding, (c) motion-insensitive k-space trajectories, (d) reduction of diffusion time or (e) registration of phase errors, and retrospective correction for each k line/interleaf.

The time needed for DW image acquisition has been another important issue in routine clinical practice. Prolonged examination times increase the probability of patient movement and may not be tolerable in acute stroke patients. Therefore, several studies have relied on single-shot echo-planar image acquisitions that require high-performance gradient hardware. Implementation of the DW imaging technique with conventional MR units for routine imaging often has been hampered by the lack of single-shot echo-planar capabilities of these systems or by a laborious retrofitting procedure for insert gradients.

To overcome these problems, a navigated DW-interleaved echo-planar imaging technique that enables high-quality DW imaging with a conventional gradient system has been implemented. In single-shot echo-planar imaging, the entire k space is acquired during a single evolution of the transverse magnetization. The sampling of different k-space locations at different times may cause severe off-resonance effects. These effects should be much smaller with the use of interleaved echo-planar imaging because of the increased k-space velocity in the phase-encoding direction. By using navigator echoes (2124), the motion-induced view-to-view phase alterations between each k line/interleaf can be monitored and retrospectively corrected for motion either in k space (20) or in hybrid space (21,22). In addition, plethysmographic RR gating should be used to compensate for pulsatile brain movement, which could otherwise cause additional image degradation (22).

The purpose of this study was to demonstrate, even with conventional gradient hardware, the clinical reliability of the proposed DW imaging method in a consecutive series of patients who had had an ischemic stroke. We further wanted to test the accuracy and precision of ADC measurements by means of phantom studies and examinations in volunteers.


    MATERIALS AND METHODS
 TOP
 Abstract
 Introduction
 MATERIALS AND METHODS
 RESULTS
 DISCUSSION
 References
 
Navigated DW Imaging Sequence
The DW dual-echo pulse sequence used in this study is illustrated in Figure 1. This echo-planar imaging sequence was implemented with a 1.5-T whole-body imager (Gyroscan ACS-NT; Philips Medical Systems, Eindhoven, the Netherlands) by using a conventional self-shielded gradient system (maximum available diffusion gradient strength, 15 mT/m; minimum rise time to 10 mT/m, 600 µsec). By using the method of Stejskal and Tanner (25), a balanced pair of diffusion-sensitizing gradients was placed around the first 180° pulse for diffusion weighting. The signal intensity obtained with diffusion weighting Sb is determined according to the equation,

where {gamma} is the gyromagnetic ratio; {delta}, the duration of each diffusion gradient; {Delta}, the time between the onsets of the diffusion gradient pulses; G, the gradient strength; S0, the signal intensity without diffusion weighting; and b, the DW factor.



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Figure 1. Acq. = acquisition, ETS = echo time shift, Gcrush = crusher gradient, GDiffusion = diffusion gradient, Gm = measurement gradient direction, Gp = phase-encoding gradient direction, Gphase = phase-encoding gradient, Gs = section-select gradient direction, Gslice = section-select gradient, RF = radio frequency, SPIR = spectral presaturation pulse. MR pulse sequence for phase-navigated DW-interleaved echo-planar imaging. The sum of the TEdiffusion and the TE can be interpreted as the TEcomposite, which is relevant for T2-weighted image contrast. To resolve the phase error caused by motion, the first echo, immediately before the second 180° pulse, was not phase encoded. The half-Fourier imaging technique was used to allow echo-planar image acquisition with a short effective TE, which led to a slight improvement in the signal-to-noise ratio and preservation of a moderate number of interleaves. It also diminished the adverse effect of motion between the navigator and imaging echo.

 
At TEdiffusion, the TE defined by the 90° pulse and the first spin echo, a navigator echo was acquired to correct the effects of motion (Fig 1). The navigator correction algorithm was implemented directly into the reconstruction software of the MR imager to compensate for translational and rotational motion. The correction was performed immediately after data acquisition during image reconstruction. With this method, phase correction is performed in hybrid space after one-dimensional Fourier transformation of the acquired data in the readout direction (22). One navigator projection in hybrid space was chosen as a reference view for calculating the relative phase perturbations of the remaining views, reflecting the random head motions of the subject. To avoid the effects of pulsatile brain motion (11), the sequence was RR gated by using the plethysmographic signal from a finger-pulse oximeter.

Because artifacts caused by the chemical shift between water- and fat-bound protons are not negligible in interleaved echo-planar imaging, a spectral presaturation pulse was used to suppress the signal intensity of adipose tissue (Fig 1). The echo time shift technique was used (26) to reduce discontinuities in phase error function due to segmented k-space acquisition (minimization of interleave ghost artifacts) (27). To refocus the magnetization during interleaved echo-planar image readout, a second 180° pulse with a short TE was used. The sum of the TEdiffusion and the TE can be interpreted as the composite TE (TEcomposite), which is relevant for T2-weighted image contrast (Fig 1). The half-Fourier imaging technique (28) was used to allow echo-planar image acquisition with a short effective TE, which leads to a slight improvement in the signal-to-noise ratio while preserving a moderate number of interleaves. Furthermore, it diminishes the adverse effect of motion between the navigator and imaging echo. Automatic shimming to cover the entire imaged volume was performed to reduce field inhomogeneity.

Calculation of the ADC
Pixel-by-pixel calculation of the ADC was performed by fitting the characteristic curve, log(S0/Sb) = ADCb, onto the DW image data, where S0 is the signal intensity obtained without diffusion weighting; Sb, the signal intensity obtained with diffusion weighting; and b, the DW factor. The parametric ADC maps were processed offline on a workstation (SPARCStation 10; SUN Microsystems, Mountain View, Calif) by using dedicated MR image processing software (29). Only those pixels that could be clearly differentiated from background noise were considered for calculation. Therefore, the selection threshold was set above 2.5 times the SD of the scaled Rayleigh distribution of the background noise from the S0 image. The trace of the diffusion tensor, Trace (D), was calculated by using the equation,

where x, y, and z indicate the directions of diffusion weighting, and ADCav, the average ADC. The calculation of b values was performed by numerical integration of the diffusion-sensitizing gradients (Mathematica; Wolfram Research, Champaign, Ill). All imaging gradients were neglected because of their small contributions to the b value in the proposed sequence. An analytic approximation for the determination of b values is given in Equation (1).

Phantom Studies
Plastic bottles filled with either water or acetone were placed in the standard circularly polarized head coil. Imaging was performed at constant room temperature by using a 23-cm field of view, 256 x 256 acquisition matrix, 70% rectangular field of view, and 75% reduced acquisition matrix, which yielded an inplane resolution of 0.89 x 1.19 mm. The additional imaging parameters were a section thickness of 6 mm, section gap of 1.5 mm, repetition time (TR) of 2,000 msec, TEcomposite of 133 msec (TEdiffusion = 115 msec, TE = 18 msec), two signals acquired, and an echo-planar imaging train length (ie, number of echoes per interleaf) of eleven. The acquisition of one interleaf took 22.9 msec by using a sampling bandwidth of ±48.9 kHz. To measure all profiles, 12 interleaves were necessary. To obtain different levels of diffusion weighting, either two or eight gradient steps were used for each phantom. With two gradient steps, the b values were approximately 0 sec/mm2 and 716 sec/mm2. The b values ranged from approximately 0 to 1,550 (0, 32, 126, 284, 505, 790, 1,137, and 1,550) sec/mm2 when eight gradient steps were used.

Human Studies
All imaging protocols were approved by our institution's committee on human studies. Informed consent was obtained, after the nature of the procedure had been fully explained, prior to performing the MR imaging procedures.

At four different times, we examined six healthy volunteers (four men, two women; age range, 25–58 years; mean age, 35 years) by using the sequence illustrated in Figure 1. DW images at two different levels of diffusion weighting were obtained in the readout, phase-encoding, and section-select directions, and the ADC was calculated for each direction. The corresponding ADC values were determined in the following anatomic regions: (a) head of caudate nucleus, (b) motor cortex at the level of the lateral ventricle, (c) subcortical white matter of the frontal lobe, (d) splenium of the corpus callosum, and (e) cerebrospinal fluid. In addition, the trace of the diffusion tensor was calculated by using Equation (2).

All studies were performed by using an acquisition matrix of 256 x 256, field of view of 24 cm, inplane resolution of 0.93 x 1.24 mm, and TR of approximately 1,500 msec (2 x RR wave). Phase encoding was performed in the left-right direction. All of the other imaging parameters were the same as those used in the phantom studies. Twenty sections were chosen to enable coverage of the entire brain, including the infratentorial compartment. For a cardiac frequency of 55 beats per minute, the imaging time was 3 minutes, 55 seconds for two b values and two acquired signals.

To test the clinical applicability of the method that we used, a consecutive series of 34 ischemic stroke patients (22 men [mean age ± SD, 66.4 years ± 13.1; age range, 41–85 years] and 12 women [mean age, 67.8 years ± 17.4; age range, 36–86 years]) were examined for 4 months. Patients with cerebral hemorrhage and other nonischemic findings such as brain tumor, herpes encephalitis, and trauma were excluded. This allowed an assessment of the diagnostic sensitivity (ie, true-positive fraction) of DW-interleaved echo-planar imaging of acute and subacute infarction. A determination of the specificity was beyond the scope of this study.

The time of onset of stroke was considered to be the time that the patient was last known to be without new neurologic deficits. Serial images were obtained in four patients. Patients were placed in the standard head holder of the circularly polarized head coil. No additional head restraints except foam pads and Velcro straps were used. The imaging protocol consisted of a T2-weighted turbo spin-echo sequence and T2-weighted cerebrospinal fluid–attenuated inversion recovery (FLAIR) turbo spin-echo sequence, as well as the described DW imaging sequence. The images obtained with each sequence were first interpreted separately, for the delineation of an acute lesion, by three independent readers (H.O., J.S., F.F.). Thereafter, lesion conspicuity was directly compared between all of the images by one of the radiologists (F.F.).

The imaging parameters for T2-weighted imaging were as follows: acquisition matrix, 256 x 256; field of view, 23 cm; reduced acquisition matrix, 80%; rectangular field of view, 80%; section thickness, 5 mm, with a 0.5-mm gap; echo train length, 17; two signals acquired; and 2,900/120 (TR msec/TE msec). For cerebrospinal FLAIR imaging, the parameters were as follows: acquisition matrix, 256 x 256; field of view, 23 cm; reduced acquisition matrix, 90%; rectangular field of view, 80%; section thickness, 6 mm, with a 1.5-mm gap; echo train length, 20; two signals acquired; 6,000/130; and inversion time, 1,900 msec. For both sequences, a linear k-space profile order was used.

In the human studies, two levels of diffusion weighting were used. First, slight diffusion weighting (ie, b {approx} 0 sec/mm2) was used, and the resultant image contrast was more or less T2 weighted. Thereafter, a large b value (ie, 716 sec/mm2) was used, and the resultant images were interpreted to be diffusion weighted. All DW imaging examinations in humans were performed by using a maximum diffusion gradient strength of 10 mT/m, with a rise time of 900 µsec to 10 mT/m. The typical duration of the diffusion gradient was 49.4 msec, and the typical time between the onsets of the diffusion gradient pulses was 57.5 msec.

Statistical Analyses
To account for individual variations in bulk ADC values (eg, temperature and serum sodium concentration), we calculated the ratio of the ADC of the ischemic lesion (ipsilateral region) to that of the unaffected corresponding contralateral brain region (rADC) (30). For statistical analysis of ADC changes in ischemic stroke patients over time, the patients were grouped according to time of stroke onset, with the rADC as the dependent measure (6,31). Grouping was performed as follows: group A, patients examined 0–6 hours after stroke onset; group B, 7–24 hours after onset; group C, 25–96 hours after onset; group D, 97–240 hours after onset; and group E, more than 240 hours after onset. By using an rADC of 1 as the null-hypothesis value, the mean rADC values in the specific groups were assessed by using a one-sample Student t test (5,6,31). The results were considered to be significant when the P value was less than .05. Multiple observations were considered by using Bonferroni correction.


    RESULTS
 TOP
 Abstract
 Introduction
 MATERIALS AND METHODS
 RESULTS
 DISCUSSION
 References
 
Phantom Studies
At room temperature (21.7°C), the mean ADC (± SEM) in regions of interest in water was (2,220 ± 3.71) x 10-6 mm2/sec, as measured with the eight-point method, and (2,213 ± 6.5) x 10-6 mm2/sec, as measured with the two-point method. The mean ADC values in acetone were (4,388 ± 9.71) x 10-6 mm2/sec and (4,403 ± 15.3) x 10-6 mm2/sec, respectively. These results are in very good agreement with previously published data for water (2,120–2,630 x 10-6 mm2/sec) and acetone (3,880–4,430 x 10-6 mm2/sec) (18,32). The given ADC values in the literature were corrected for the temperature dependence of 2.4%/K. The variation in mean ADC between the values obtained with two b values and those obtained with eight b values was 0.31% for water and 0.34% for acetone.

Human Studies
The mean ADC and trace measurements obtained in different anatomic regions in the six volunteers are shown in Table 1. The highest diffusion anisotropy was found in the corpus callosum. Anisotropy of the subcortical white matter tracts was moderate because of the fibers of different tracts with different orientation merges. The intrasubject variation (± SD, expressed as a percentage of the mean value) in these measurements in the six volunteers ranged from 6.5% in the subcortical white matter tract to 12.9% in the head of the caudate nucleus. We also determined the deviation in rADC from 1 in the motor cortex and frontal white matter of these individuals. The intrasubject variation (ie, precision) in rADC was 6.3%.


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TABLE 1. ADC of Different Anatomic Regions in Six Healthy Volunteers
 
In the clinical setting, we performed 38 examinations in the 34 patients who had had an ischemic stroke. The interval between the onset of clinical symptoms and the MR imaging examination was 1.5 hours to 34 days. Within the 1st week, DW imaging enabled all three readers to identify acute lesions in 18 of 20 patients at first examination; this corresponds to a sensitivity of 90%. In general, early ischemic damage was characterized by very high signal intensity, except in one lesion, in which there was moderate signal intensity 2.5 hours after stroke onset. At this time, the T2-weighted and cerebrospinal FLAIR images were still negative (Fig 2).



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Figure 2a. MR images of the brain obtained in a 48-year-old woman 2.5 hours after stroke onset. (a) Axial fast T2-weighted and (b) fast cerebrospinal fluid–suppressed T2-weighted images show no signal intensity changes. (c) DW image (b = 716 sec/mm2) shows a hyperintense region (arrows) in the vascular territory of the right middle cerebral artery. (d) Calculated ADC map confirms a reduction of the ADC, as indicated by the corresponding hypointense area (arrows). The mean rADC value (ie, ratio of ipsilateral ADC to contralateral ADC) was 0.605.

 


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Figure 2c. MR images of the brain obtained in a 48-year-old woman 2.5 hours after stroke onset. (a) Axial fast T2-weighted and (b) fast cerebrospinal fluid–suppressed T2-weighted images show no signal intensity changes. (c) DW image (b = 716 sec/mm2) shows a hyperintense region (arrows) in the vascular territory of the right middle cerebral artery. (d) Calculated ADC map confirms a reduction of the ADC, as indicated by the corresponding hypointense area (arrows). The mean rADC value (ie, ratio of ipsilateral ADC to contralateral ADC) was 0.605.

 


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Figure 2b. MR images of the brain obtained in a 48-year-old woman 2.5 hours after stroke onset. (a) Axial fast T2-weighted and (b) fast cerebrospinal fluid–suppressed T2-weighted images show no signal intensity changes. (c) DW image (b = 716 sec/mm2) shows a hyperintense region (arrows) in the vascular territory of the right middle cerebral artery. (d) Calculated ADC map confirms a reduction of the ADC, as indicated by the corresponding hypointense area (arrows). The mean rADC value (ie, ratio of ipsilateral ADC to contralateral ADC) was 0.605.

 


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Figure 2d. MR images of the brain obtained in a 48-year-old woman 2.5 hours after stroke onset. (a) Axial fast T2-weighted and (b) fast cerebrospinal fluid–suppressed T2-weighted images show no signal intensity changes. (c) DW image (b = 716 sec/mm2) shows a hyperintense region (arrows) in the vascular territory of the right middle cerebral artery. (d) Calculated ADC map confirms a reduction of the ADC, as indicated by the corresponding hypointense area (arrows). The mean rADC value (ie, ratio of ipsilateral ADC to contralateral ADC) was 0.605.

 
In seven patients, the acute lesions were multiple and smaller than 1 cm. Neither the small lesion size nor brain stem or cerebellar locations (n = 6) complicated the conspicuity of the area of recent ischemic damage (Fig 3). The same was true of purely cortical lesions (n = 4). Territorial infarction (n = 4) and larger infarcts in the basal ganglia or thalami were easily identified with all sequences. In both patients with initially negative DW images, ischemic lesions that corresponded to the qualifying symptoms were detected at follow-up. In one patient, who had falsely normal examination results 1.5 hours after stroke onset, a large infarct was visible 22 hours later (Fig 4). Another very small lesion in the cerebral peduncle was initially missed at blind readings with all sequences.



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Figure 3. DW image of the brain obtained 72 hours after stroke onset in a 62-year-old man with a small cerebellar infarction. The brain stem (arrowheads) and the cerebellar lesion (arrow) are well depicted. No substantial susceptibility artifacts are visible.

 


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Figure 4a. MR images obtained in a 75-year-old man with acute aphasia and right hemiplegia. (a) Axial T2-weighted DW-interleaved echo-planar image (b {approx} 0 sec/mm2), (b) DW image (b = 716 sec/mm2), and (c) ADC map obtained 1.5 hours after stroke onset. In b, the focal signal intensity abnormalities (arrows) around the posterior horn on the right most likely correspond to old lesions that consist of central encephalomalacia with surrounding gliosis. (c) ADC map shows no clear signs of early infarction. The darker paraventricular areas (arrowheads) resulted from anisotropy of the white matter tracts. (d–f) MR images obtained 22 hours after stroke onset. (d) Axial T2-weighted image shows diffusely increased signal intensity (arrows) in the left middle cerebral arterial territory. (e) The area of ischemic damage (arrows) is more clearly delineated on the DW image. (f) Calculated ADC map shows a reduced ADC (arrows) in the affected area (rADC = 0.297).

 


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Figure 4b. MR images obtained in a 75-year-old man with acute aphasia and right hemiplegia. (a) Axial T2-weighted DW-interleaved echo-planar image (b {approx} 0 sec/mm2), (b) DW image (b = 716 sec/mm2), and (c) ADC map obtained 1.5 hours after stroke onset. In b, the focal signal intensity abnormalities (arrows) around the posterior horn on the right most likely correspond to old lesions that consist of central encephalomalacia with surrounding gliosis. (c) ADC map shows no clear signs of early infarction. The darker paraventricular areas (arrowheads) resulted from anisotropy of the white matter tracts. (d–f) MR images obtained 22 hours after stroke onset. (d) Axial T2-weighted image shows diffusely increased signal intensity (arrows) in the left middle cerebral arterial territory. (e) The area of ischemic damage (arrows) is more clearly delineated on the DW image. (f) Calculated ADC map shows a reduced ADC (arrows) in the affected area (rADC = 0.297).

 


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Figure 4c. MR images obtained in a 75-year-old man with acute aphasia and right hemiplegia. (a) Axial T2-weighted DW-interleaved echo-planar image (b {approx} 0 sec/mm2), (b) DW image (b = 716 sec/mm2), and (c) ADC map obtained 1.5 hours after stroke onset. In b, the focal signal intensity abnormalities (arrows) around the posterior horn on the right most likely correspond to old lesions that consist of central encephalomalacia with surrounding gliosis. (c) ADC map shows no clear signs of early infarction. The darker paraventricular areas (arrowheads) resulted from anisotropy of the white matter tracts. (d–f) MR images obtained 22 hours after stroke onset. (d) Axial T2-weighted image shows diffusely increased signal intensity (arrows) in the left middle cerebral arterial territory. (e) The area of ischemic damage (arrows) is more clearly delineated on the DW image. (f) Calculated ADC map shows a reduced ADC (arrows) in the affected area (rADC = 0.297).

 


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Figure 4d. MR images obtained in a 75-year-old man with acute aphasia and right hemiplegia. (a) Axial T2-weighted DW-interleaved echo-planar image (b {approx} 0 sec/mm2), (b) DW image (b = 716 sec/mm2), and (c) ADC map obtained 1.5 hours after stroke onset. In b, the focal signal intensity abnormalities (arrows) around the posterior horn on the right most likely correspond to old lesions that consist of central encephalomalacia with surrounding gliosis. (c) ADC map shows no clear signs of early infarction. The darker paraventricular areas (arrowheads) resulted from anisotropy of the white matter tracts. (d–f) MR images obtained 22 hours after stroke onset. (d) Axial T2-weighted image shows diffusely increased signal intensity (arrows) in the left middle cerebral arterial territory. (e) The area of ischemic damage (arrows) is more clearly delineated on the DW image. (f) Calculated ADC map shows a reduced ADC (arrows) in the affected area (rADC = 0.297).

 


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Figure 4e. MR images obtained in a 75-year-old man with acute aphasia and right hemiplegia. (a) Axial T2-weighted DW-interleaved echo-planar image (b {approx} 0 sec/mm2), (b) DW image (b = 716 sec/mm2), and (c) ADC map obtained 1.5 hours after stroke onset. In b, the focal signal intensity abnormalities (arrows) around the posterior horn on the right most likely correspond to old lesions that consist of central encephalomalacia with surrounding gliosis. (c) ADC map shows no clear signs of early infarction. The darker paraventricular areas (arrowheads) resulted from anisotropy of the white matter tracts. (d–f) MR images obtained 22 hours after stroke onset. (d) Axial T2-weighted image shows diffusely increased signal intensity (arrows) in the left middle cerebral arterial territory. (e) The area of ischemic damage (arrows) is more clearly delineated on the DW image. (f) Calculated ADC map shows a reduced ADC (arrows) in the affected area (rADC = 0.297).

 


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Figure 4f. MR images obtained in a 75-year-old man with acute aphasia and right hemiplegia. (a) Axial T2-weighted DW-interleaved echo-planar image (b {approx} 0 sec/mm2), (b) DW image (b = 716 sec/mm2), and (c) ADC map obtained 1.5 hours after stroke onset. In b, the focal signal intensity abnormalities (arrows) around the posterior horn on the right most likely correspond to old lesions that consist of central encephalomalacia with surrounding gliosis. (c) ADC map shows no clear signs of early infarction. The darker paraventricular areas (arrowheads) resulted from anisotropy of the white matter tracts. (d–f) MR images obtained 22 hours after stroke onset. (d) Axial T2-weighted image shows diffusely increased signal intensity (arrows) in the left middle cerebral arterial territory. (e) The area of ischemic damage (arrows) is more clearly delineated on the DW image. (f) Calculated ADC map shows a reduced ADC (arrows) in the affected area (rADC = 0.297).

 
After the 1st week of stroke, clinically relevant lesions started to become less obvious on DW images because of their decreased signal intensity. This transition appeared to be prolonged with large infarcts, as shown in Figure 5. Overall, no stroke-related lesions that were seen on T2-weighted and cerebrospinal FLAIR images were missed on DW images.



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Figure 5. DW images (b = 716 sec/mm2) obtained 10 days after stroke onset in a 50-year-old woman with ischemic injury in the vascular territory of the right middle and right anterior cerebral arteries. The area of acute damage has increased signal intensity and contrasts well with an old hypointense parenchymal defect (arrows) from a previous left middle cerebral arterial infarct.

 
In addition to visual examinations, the mean values of the calculated ratios of ipsilateral ADC (of the ischemic lesion) to contralateral ADC (of the unaffected region), rADCs, were assessed according to the elapsed time after stroke onset in each patient (Table 2). A significant decrease in the mean rADC from normal (rADC of 1) was seen between 7 and 96 hours after stroke onset (P < .005). At 97–240 hours after stroke onset, the mean rADC began to rise again and was clearly above normal in lesions depicted more than 240 hours after stroke onset. Individual data are plotted in Figure 6 to further illustrate the evolution of the mean rADC over time.


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TABLE 2. Temporal Evolution of ADC Ratio between the Normal and Injured Hemispheres in Stroke Victims
 


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Figure 6. Time course of the lesions' mean rADC ({diamondsuit}). After 4–6 days of decreased mean rADCs, the values start to rise, with an increased mean rADC that is characteristic of that of old lesions. This mean rADC course contributes to the timing of infarction. Note the problem of pseudonormalization during the transitional phase.

 

    DISCUSSION
 TOP
 Abstract
 Introduction
 MATERIALS AND METHODS
 RESULTS
 DISCUSSION
 References
 
The results of this study show that DW images can be obtained by using standard clinical MR imaging units with conventional gradient hardware. By using a navigated interleaved echo-planar imaging technique with cardiac gating, we obtained very fast, sensitive, and reliable results in both phantom and clinical studies. In healthy volunteers, the intrasubject variation of ADC measurements obtained with this technique ranged from 6.5% to 12.9%, depending on the brain region examined. The precision of rADC determinations was approximately 6%. A more detailed assessment of the influences of ADC measurements on precision and accuracy is published elsewhere (33). The differences in diffusion anisotropy between various brain regions corresponded well with the known topography of fiber tracts.

When we added the described DW imaging sequence to our conventional imaging protocol for stroke patients, approximately 4 additional minutes of examination time were required. Our former attempts to perform diffusion studies had been hampered by the lack of fast motion-insensitive sequences, limited number of sections to cover the brain, poor spatial resolution, or laborious setup for each patient when insert gradients were used.

With single-shot echo-planar imaging techniques, DW images can be obtained very rapidly, and the entire k space can be acquired with a single excitation. Therefore, when these techniques are used for DW imaging, they provide inherently reduced sensitivity to bulk motion. However, single-shot echo-planar imaging provides limited spatial resolution and yields a poor signal-to-noise ratio because of the large receiver bandwidth that is necessary. Furthermore, single-shot echo-planar imaging is prone to artifacts in regions with large susceptibility gradients, which occur at air- or bone-tissue interfaces (eg, skull base, posterior fossa, and sinuses).

By using interleaved echo-planar imaging with navigator motion correction and cardiac gating, many of these problems can be overcome. Measuring the navigator echo at the time of the spin echo of the first 180° pulse yields the optimal navigator signal, which minimizes errors in phase correction because phase noise is reduced. In general, the best navigator correction for motion (translational and rotational) can be achieved when the diffusion gradients and the navigator echo are applied in perpendicular directions. Because we acquired the navigator echo in the readout direction, diffusion weighting in the phase-encoding direction was optimal. The lack of rotational motion correction when diffusion gradients are used in the other principal directions can be overcome by acquiring a second navigator echo in the phase-encoding direction (24) or by implementing spiral navigator echoes (23). A factor that potentially limits the widespread use of spiral navigating with a conventional system might be the reason that a high-performance gradient system with time-varying gradient waveform capabilities and sophisticated methods for image reconstruction are required.

In this study, the trace of the diffusion tensor was acquired by obtaining three independent measurements with diffusion encoding in each principal direction. A sequence that can be used to acquire the trace during a single measurement with an optimized gradient pulse switching scheme, as proposed by Wong and colleagues (34), also is possible with interleaved echo-planar imaging (24). However, with a conventional gradient system, the TEcomposite has to be prolonged to approximately 170 msec to achieve identical diffusion weighting (b = 700 sec/mm2). This might critically impair the signal-to-noise ratio of the DW images and, consequently, the quality of the calculated ADC maps.

Cardiac gating in patients with cardiac arrhythmia is a potentially limiting factor of all spin-warp techniques in which the k space is not acquired in one shot. Because this can also occur with DW-interleaved echo-planar imaging, we chose the TR to be two RR intervals. With this strategy, for typical T1 values, variations of the TR caused by arrhythmia should be negligible because, with a TR of this length, spins are almost fully relaxed.

When echo-planar imaging is used, even small residual eddy currents can cause substantial artifacts, particularly in the phase-encoding direction, where the image bandwidth can be low (<10 Hz/pixel). Although image degradation (eg, shrink, shear, and shift in the phase-encoding direction) caused by gradient-induced eddy currents was less prominent with the described technique than with single-shot techniques, a reliable calculation of the tensor trace can be difficult with interleaved echo-planar imaging with fewer interleaves. Several correction strategies (35,36) have been recommended to overcome this. In our study, the maximum shift between selected anatomic landmarks on images with different DW directions was 1.8 mm.

The susceptibility artifacts known to be associated with single-shot echo-planar imaging occurred very mildly with interleaved echo-planar imaging and the used number of interleaves. Small S-shaped hyperintense artifacts in the area surrounding the temporal pole were rarely observed and did not impair image interpretation in any case. Image distortions at the base of the frontal lobe of the brain also were negligible, and the posterior fossa was always well depicted. Therefore, brain stem and cerebellar lesions were all detected with high sensitivity.

With the described DW imaging sequence, acute ischemic injury was reliably identified, even before the appearance of signal intensity changes on conventional images, except in one patient, who was examined 1.5 hours after the onset of stroke. Compared with the lesions missed on conventional images, neither acute nor subacute ischemic lesions were missed on DW images at blind readings. The characteristic temporal evolution of the ADC with the corresponding high signal intensity of ischemic lesions, primarily within the 1st week, also helped to distinguish between new and old lesions. These findings should also enable one to recognize acute but clinically occult associated ischemic lesions and provide important information about the pathophysiology of stroke. That is, these findings could further support the embolic cause of an infarct (37). The good agreement between the rADC time course observed in our sample of stroke patients and that in published data achieved by using isotropic DW imaging (21,31,38) provides further evidence of the reliability of this method.

One potential limitation of ADC maps for clinical purposes is the "pseudonormalization" period that occurs approximately 200 hours after stroke onset, that is, the time of transition from a decreased to increased rADC of ischemic tissue; the values during this period approach those of the normal brain parenchyma. During this period, the diagnostic sensitivity of the ADC is very low and must be compensated by interpreting simultaneously obtained T2-weighted images. The high precision of the rADC and good contrast-to-noise ratio of DW imaging provided by using the described technique are mandatory to keep the period during which ADC map acquisition may be noncontributory to a minimum.


    Acknowledgments
 
The author would like to thank Alex de Crespigny, Lucas MRS Imaging Center, Stanford University, for helpful discussions; Eva Müller-Zettelmann for carefully proofreading the manuscript; and Andrea Berghold for the statistical advice.


    Footnotes
 
Abbreviations: ADC = apparent diffusion coefficient DW = diffusion-weighted FLAIR = fluid–attenuated inversion recovery TE = echo time TR = repetition time

Author contributions: Guarantors of integrity of entire study, R.S., F.F.; study concepts and design, R.S., F.F., R.B.; definition of intellectual content, R.S., F.F., R.B.; literature research, R.B.; clinical studies, M.A., J.S., H.O., P.K., F.E., F.F., R.B.; experimental studies, R.B., R.S.; data acquisition, R.S., S.R., H.K., R.B.; data analysis, R.B., P.W.; statistical analysis, R.B.; manuscript preparation, R.B.; manuscript review, R.S., F.F., F.E., P.W.


    References
 TOP
 Abstract
 Introduction
 MATERIALS AND METHODS
 RESULTS
 DISCUSSION
 References
 

  1. National Heart, Lung, and Blood Institute. The Stroke Belt Initiative Projects Baltimore, Md: National Heart, Lung, and Blood Institute, 1996.
  2. Moseley ME, Cohen Y, Mintorovich J, et al. Early detection of regional cerebral ischemia in cats: comparison of diffusion- and T2-weighted MRI and spectroscopy. Magn Reson Med 1990; 14:330-346.[Medline]
  3. Moseley ME, Kucharczyk J, Mintorovitch J, et al. Diffusion-weighted MR imaging of acute stroke: correlation with T2-weighted and magnetic susceptibility–enhanced MR imaging in cats. AJNR 1990; 11:423-429.[Abstract]
  4. Chien D, Kwong KK, Gress DR, Buonanno FS, Buxton RB, Rosen BR. MR diffusion imaging of cerebral infarction in humans. AJNR 1992; 13:1097-1102.[Abstract]
  5. Warach S, Chien D, Li W, Rontal MM, Edelman RR. Fast magnetic resonance diffusion-weighted imaging of acute human stroke. Neurology 1992; 42:1717-1723.[Abstract/Free Full Text]
  6. Warach S, Gaa J, Siewert B, Wielopolski P, Edelman RR. Acute human stroke studied by whole brain echo planar diffusion-weighted magnetic resonance imaging. Ann Neurol 1995; 37:231-241.[Medline]
  7. Yuh WT, Crain MR, Loes DJ, Greene GM, Ryals TJ, Sato Y. MR imaging of cerebral ischemia: findings in the first 24 hours. AJNR 1991; 12:621-629.[Abstract]
  8. Mintorovitch J, Baker LL, Yang GY, et al. Diffusion-weighted hyperintensity of early cerebral ischemia: correlation with brain water content and ATPase activity (abstr) In: Book of abstracts: Society of Magnetic Resonance in Medicine 1991. Berkeley, Calif: Society of Magnetic Resonance in Medicine, 1991; 329.
  9. The National Institute of Neurological Disorders and Stroke rt-PA Stroke Study Group. Tissue plasminogen activator for acute ischemic stroke. N Engl J Med 1995; 333:1581-1587.[Abstract/Free Full Text]
  10. Anderson AW, Gore JC. Analysis and correction of motion artifacts in diffusion weighted imaging. Magn Reson Med 1994; 32:379-387.[Medline]
  11. Poncelet BP, Wedeen VJ, Weisskoff RM, Cohen MS. Brain parenchyma motion: measurement with cine echo-planar MR imaging. Radiology 1992; 185:645-651.[Abstract/Free Full Text]
  12. Mansfield P. Multi-planar image formation using NMR spin echoes. J Phys Chem 1977; 10:155-158.
  13. Turner R, Le Bihan D, Maier J, Vavrek R, Hedges L, Pekar J. Echo-planar imaging of intravoxel incoherent motion. Radiology 1990; 177:407-414.[Abstract/Free Full Text]
  14. Kwong KK, McKinstry RC, Chien D, Crawley AP, Pearlman JD, Rosen BR. CSF suppressed quantitative single-shot diffusion imaging. Magn Reson Med 1991; 21:157-163.[Medline]
  15. Merboldt KD, Haenicke W, Bruhn H, Gyngell ML, Frahm J. Diffusion imaging of the human brain using high-speed STEAM MRI. Magn Reson Med 1992; 23:179-192.[Medline]
  16. Gudbjartsson H, Maier SE, Jolesz FA. Double line scan diffusion imaging. Magn Reson Med 1997; 38:101-109.[Medline]
  17. Gmitro A, Alexander A. Use of a projection reconstruction method to decrease motion sensitivity in diffusion-weighted MRI. Magn Reson Med 1993; 29:835-838.[Medline]
  18. Prassad P, Nalcioglu O. A modified pulse sequence for in vivo diffusion imaging with reduced motion artifacts. Magn Reson Med 1991; 18:116-131.[Medline]
  19. Ehman RL, Felmlee JP. Adaptive technique for high-definition MR imaging of moving structures. Radiology 1989; 173:255-263.[Abstract/Free Full Text]
  20. Ordidge RJ, Helpern JA, Qing ZX, Knight RA, Nagesh V. Correction of motion artifacts in diffusion-weighted MR images using navigator echoes. Magn Reson Imaging 1994; 12:455-460.[Medline]
  21. Marks MP, de Crespigny A, Lentz D, Enzmann DR, Albers GW, Moseley ME. Acute and chronic stroke: navigated spin-echo MR imaging. Radiology 1996; 199:403-408.[Abstract/Free Full Text]
  22. de Crespigny AJ, Marks MP, Enzmann DR, Moseley ME. Navigated diffusion imaging of normal and ischemic human brain. Magn Reson Med 1995; 33:720-728.[Medline]
  23. Butts K, Pauly J, de Crespigny A, Moseley M. Isotropic diffusion-weighted and spiral-navigated interleaved EPI for routine imaging of acute stroke. Magn Reson Med 1997; 38:741-749.[Medline]
  24. Butts K, de Crespigny A, Pauly JM, Moseley M. Diffusion-weighted echo-planar imaging with a pair of orthogonal navigator echoes. Magn Reson Med 1996; 35:763-770.[Medline]
  25. Stejskal E, Tanner J. Spin diffusion measurements: spin echoes in the presence of time-dependent field gradient. J Chem Phys 1965; 42:288-292.
  26. Feinberg DA, Oshio K. Phase errors in multi-shot echo-planar imaging. Magn Reson Med 1994; 32:535-539.[Medline]
  27. Reeder SB, Atalar E, Bolster BD, McVeigh ER. Quantification and reduction of ghosting artifacts in interleaved echo-planar imaging. Magn Reson Med 1997; 38:429-439.[Medline]
  28. Margosian P. Faster MR imaging: imaging with half the data (abstr) In: Book of abstracts: Society of Magnetic Resonance in Medicine 1985. Berkeley, Calif: Society of Magnetic Resonance in Medicine, 1985; 1024.
  29. Bammer R, Stollberger R, Pedevilla M, Ropele S, Ebner F, Wach P. MRSpy: an independent workstation for determination, visualization and quantitative analysis of pharmacokinetic and physiological parameters using dynamic MR data sets. In: Lemke HU, Vannier MW, Inamura K, eds. Computer-assisted radiology and surgery 1997. Berlin, Germany: Elsevier Science, 1997; 111-116.
  30. Sevick RJ, Kanda F, Mintorovitch J, et al. Cytotoxic brain edema: assessment with diffusion-weighted MR imaging. Radiology 1992; 185:687-690.[Abstract/Free Full Text]
  31. Schlaug G, Siewert B, Benfield A, Edelman RR, Warach S. Time course of the apparent diffusion coefficient (ADC) abnormality in human stroke. Neurology 1997; 49:113-119.[Abstract/Free Full Text]
  32. Mills R. Self-diffusion in normal and heavy water. J Phys Chem 1973; 77:685-688.
  33. Conturo TE, McKinstry RC, Aronovitz JA, Neil JJ. Diffusion MRI: precision, accuracy and flow effects. NMR Biomed 1995; 8:307-332.[Medline]
  34. Wong EC, Cox RW, Song AW. Optimized isotropic diffusion weighting. Magn Reson Med 1995; 34:139-143.[Medline]
  35. Zhou X, Maier JK, Reynolds GH. Reduction of image misregistration in diffusion-weighted EPI (abstr) In: Proceedings of Fifth Meeting of the International Society for Magnetic Resonance in Medicine. Berkeley, Calif: International Society for Magnetic Resonance in Medicine, 1997; 1724.
  36. Haselgrove JC, Moore JR. Correction for distortion of echo-planar images used to calculate the apparent diffusion coefficient. Magn Reson Med 1996; 36:960-964.[Medline]
  37. Simbrunner J, Augustin M, Fazekas F, et al. Diffusion imaging in patients with cerebral microangiopathy and acute cerebral deficit (abstr) In: Proceedings of Sixth Meeting of the International Society for Magnetic Resonance in Medicine. Berkeley, Calif: International Society for Magnetic Resonance in Medicine, 1998; 1149.
  38. Sorensen AG, Buonanno FS, Gonzales GR, et al. Hyperacute stroke: evaluation with combined multisection diffusion-weighted and hemodynamically weighted echo-planar MR imaging. Radiology 1996; 199:391-401.[Abstract/Free Full Text]



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