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DOI: 10.1148/radiol.2353040737
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Volumetric Measurement of Synthetic Lung Nodules with Multi–Detector Row CT: Effect of Various Image Reconstruction Parameters and Segmentation Thresholds on Measurement Accuracy1

Jin Mo Goo, MD, Trongtum Tongdee, MD, Ranista Tongdee, MD, Kwangjae Yeo, MS, Charles F. Hildebolt, DDS, PhD and Kyongtae T. Bae, MD, PhD

1 From the Mallinckrodt Institute of Radiology, Washington University School of Medicine, 510 S Kingshighway Blvd, St Louis, MO 63110 (J.M.G., T.T., R.T., K.Y., C.F.H., K.T.B.); and Department of Radiology, Seoul National University College of Medicine, and the Institute of Radiation Medicine, Seoul National University Medical Research Center, Seoul, Korea (J.M.G.). Received April 23, 2004; revision requested July 2; revision received July 19; accepted August 18. Address correspondence to K.T.B. (e-mail: baet@mir.wustl.edu).



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  		Figure 1. Transverse CT scan of chest phantom with eight synthetic nodules embedded in a polystyrene plastic matrix occupying the lung region. Only nodules in the right lung were measured for this study because images with FOV of 10 and 20 cm could only cover the right lung.

 


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  		Figure 2. Graph shows the mean APE versus nodule size for five different section thicknesses. At each section thickness, APE increased consistently with a decrease in nodule size.

 


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  		Figure 3. Graph shows the mean APE versus nodule size for four different thresholds. At each threshold, except for the threshold value of –600 HU and 3.2-mm nodule, APE increased consistently with a decrease in nodule size.

 


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  		Figure 4. Scatter plots show relationships between the percentage error and nodule diameter, FOV, reconstruction interval, threshold, and section thickness. The nodule volume was overestimated at a threshold of –600 HU but was underestimated at thresholds of –300 and –400 HU. As the size of nodules decreases, errors increase in both positive and negative directions.

 




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