9 March 2010 Automated scheme for measuring polyp volume in CT colonography using Hessian matrix-based shape extraction and 3D volume growing
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Abstract
Current measurement of the single longest dimension of a polyp is subjective and has variations among radiologists. Our purpose was to develop an automated measurement of polyp volume in CT colonography (CTC). We developed a computerized segmentation scheme for measuring polyp volume in CTC, which consisted of extraction of a highly polyp-like seed region based on the Hessian matrix, segmentation of polyps by use of a 3D volume-growing technique, and sub-voxel refinement to reduce a bias of segmentation. Our database consisted of 30 polyp views (15 polyps) in CTC scans from 13 patients. To obtain "gold standard," a radiologist outlined polyps in each slice and calculated volumes by summation of areas. The measurement study was repeated three times at least one week apart for minimizing a memory effect bias. We used the mean volume of the three studies as "gold standard." Our measurement scheme yielded a mean polyp volume of 0.38 cc (range: 0.15-1.24 cc), whereas a mean "gold standard" manual volume was 0.40 cc (range: 0.15-1.08 cc). The mean absolute difference between automated and manual volumes was 0.11 cc with standard deviation of 0.14 cc. The two volumetrics reached excellent agreement (intra-class correlation coefficient was 0.80) with no statistically significant difference (p(F≤f) = 0.42). Thus, our automated scheme efficiently provides accurate polyp volumes for radiologists.
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Kenji Suzuki, Mark L. Epstein, Jianwu Xu, Piotr Obara, Don C. Rockey, Abraham H. Dachman, "Automated scheme for measuring polyp volume in CT colonography using Hessian matrix-based shape extraction and 3D volume growing", Proc. SPIE 7624, Medical Imaging 2010: Computer-Aided Diagnosis, 762423 (9 March 2010); doi: 10.1117/12.843906; https://doi.org/10.1117/12.843906
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