Automated scheme for measuring polyp volume in CT colonography using Hessian matrix-based shape extraction and 3D volume growing

Kenji Suzuki; Mark L. Epstein; Jianwu Xu; Piotr Obara M.D.; Don C. Rockey M.D.; Abraham H. Dachman M.D.

doi:10.1117/12.843906

9 March 2010 Automated scheme for measuring polyp volume in CT colonography using Hessian matrix-based shape extraction and 3D volume growing

Kenji Suzuki, Mark L. Epstein, Jianwu Xu, Piotr Obara M.D., Don C. Rockey M.D., Abraham H. Dachman M.D.

Author Affiliations +

Proceedings Volume 7624, Medical Imaging 2010: Computer-Aided Diagnosis; 762423 (2010) https://doi.org/10.1117/12.843906
Event: SPIE Medical Imaging, 2010, San Diego, California, United States

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 M.D., Don C. Rockey M.D., and Abraham H. Dachman M.D. "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); https://doi.org/10.1117/12.843906

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KEYWORDS

Image segmentation

Gold

Virtual colonoscopy

Computer aided diagnosis and therapy

3D metrology

Computed tomography

Databases

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