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Proceedings Paper

Automated scheme for measuring polyp volume in CT colonography using Hessian matrix-based shape extraction and 3D volume growing
Author(s): Kenji Suzuki; Mark L. Epstein; Jianwu Xu; Piotr Obara M.D.; Don C. Rockey M.D.; Abraham H. Dachman M.D.
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Paper 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.

Paper Details

Date Published: 9 March 2010
PDF: 6 pages
Proc. SPIE 7624, Medical Imaging 2010: Computer-Aided Diagnosis, 762423 (9 March 2010); doi: 10.1117/12.843906
Show Author Affiliations
Kenji Suzuki, The Univ. of Chicago (United States)
The Univ. of Texas Southwestern Medical Ctr. at Dallas (United States)
Mark L. Epstein, The Univ. of Chicago (United States)
The Univ. of Texas Southwestern Medical Ctr. at Dallas (United States)
Jianwu Xu, The Univ. of Chicago (United States)
The Univ. of Texas Southwestern Medical Ctr. at Dallas (United States)
Piotr Obara M.D., The Univ. of Chicago (United States)
The Univ. of Texas Southwestern Medical Ctr. at Dallas (United States)
Don C. Rockey M.D., The Univ. of Chicago (United States)
The Univ. of Texas Southwestern Medical Ctr. at Dallas (United States)
Abraham H. Dachman M.D., The Univ. of Chicago (United States)
The Univ. of Texas Southwestern Medical Ctr. at Dallas (United States)


Published in SPIE Proceedings Vol. 7624:
Medical Imaging 2010: Computer-Aided Diagnosis
Nico Karssemeijer; Ronald M. Summers, Editor(s)

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