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A straightforward approach to computer-aided polyp detection using a polyp-specific volumetric feature in CT colonography.
Comput Biol Med. 2011 Sep; 41(9):790-801.CB

Abstract

This study presents a straightforward approach to computer-aided polyp detection and explores its advantages and future potential. A straightforward computer-aided polyp detection (CAD) scheme was developed that consisted of colon wall segmentation, a polyp-specific volumetric filter, and the counting and thresholding of cluster volume sizes. 65 patients had undergone the bowel cleaning scheme without fecal tagging and the optical colonoscopy (OC) and CT colonography (CTC) were performed. The polyp sizes determined by OC were used as reference measurements. The CTC dataset with 103 polyps were divided into training and test datasets. After tuning for the optimal parameter settings, the per-polyp sensitivities of the developed CAD scheme for clinically relevant polyps (≥ 6 mm) were 100% at 8.5 false positives (FPs)/patient using the training dataset, and 93.3% at 7.7 FPs/patient using the test dataset. The developed CAD scheme was found to have a relatively high detection performance, easily optimized parameter settings, and an easily understood internal operation.

Authors+Show Affiliations

Interdisciplinary Program in Radiation Applied Life Science, Seoul National University College of Medicine, Seoul 110-799, South Korea.No affiliation info availableNo affiliation info availableNo affiliation info availableNo affiliation info available

Pub Type(s)

Journal Article
Research Support, Non-U.S. Gov't

Language

eng

PubMed ID

21762887

Citation

Lee, June-Goo, et al. "A Straightforward Approach to Computer-aided Polyp Detection Using a Polyp-specific Volumetric Feature in CT Colonography." Computers in Biology and Medicine, vol. 41, no. 9, 2011, pp. 790-801.
Lee JG, Hyo Kim J, Hyung Kim S, et al. A straightforward approach to computer-aided polyp detection using a polyp-specific volumetric feature in CT colonography. Comput Biol Med. 2011;41(9):790-801.
Lee, J. G., Hyo Kim, J., Hyung Kim, S., Sun Park, H., & Ihn Choi, B. (2011). A straightforward approach to computer-aided polyp detection using a polyp-specific volumetric feature in CT colonography. Computers in Biology and Medicine, 41(9), 790-801. https://doi.org/10.1016/j.compbiomed.2011.06.015
Lee JG, et al. A Straightforward Approach to Computer-aided Polyp Detection Using a Polyp-specific Volumetric Feature in CT Colonography. Comput Biol Med. 2011;41(9):790-801. PubMed PMID: 21762887.
* Article titles in AMA citation format should be in sentence-case
TY - JOUR T1 - A straightforward approach to computer-aided polyp detection using a polyp-specific volumetric feature in CT colonography. AU - Lee,June-Goo, AU - Hyo Kim,Jong, AU - Hyung Kim,Se, AU - Sun Park,Hee, AU - Ihn Choi,Byung, Y1 - 2011/07/18/ PY - 2009/08/05/received PY - 2010/10/19/revised PY - 2011/06/21/accepted PY - 2011/7/19/entrez PY - 2011/7/19/pubmed PY - 2012/1/11/medline SP - 790 EP - 801 JF - Computers in biology and medicine JO - Comput. Biol. Med. VL - 41 IS - 9 N2 - This study presents a straightforward approach to computer-aided polyp detection and explores its advantages and future potential. A straightforward computer-aided polyp detection (CAD) scheme was developed that consisted of colon wall segmentation, a polyp-specific volumetric filter, and the counting and thresholding of cluster volume sizes. 65 patients had undergone the bowel cleaning scheme without fecal tagging and the optical colonoscopy (OC) and CT colonography (CTC) were performed. The polyp sizes determined by OC were used as reference measurements. The CTC dataset with 103 polyps were divided into training and test datasets. After tuning for the optimal parameter settings, the per-polyp sensitivities of the developed CAD scheme for clinically relevant polyps (≥ 6 mm) were 100% at 8.5 false positives (FPs)/patient using the training dataset, and 93.3% at 7.7 FPs/patient using the test dataset. The developed CAD scheme was found to have a relatively high detection performance, easily optimized parameter settings, and an easily understood internal operation. SN - 1879-0534 UR - https://www.unboundmedicine.com/medline/citation/21762887/A_straightforward_approach_to_computer_aided_polyp_detection_using_a_polyp_specific_volumetric_feature_in_CT_colonography_ L2 - https://linkinghub.elsevier.com/retrieve/pii/S0010-4825(11)00135-1 DB - PRIME DP - Unbound Medicine ER -