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Computer-aided detection of colonic polyps at CT colonography using a Hessian matrix-based algorithm: preliminary study
DC Field | Value | Language |
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dc.contributor.author | Kim, Se Hyung | - |
dc.contributor.author | Lee, Jeong Min | - |
dc.contributor.author | Lee, Joon-Goo | - |
dc.contributor.author | Kim, Jong Hyo | - |
dc.contributor.author | Lefere, Philippe A | - |
dc.contributor.author | Han, Joon Koo | - |
dc.contributor.author | Choi, Byung Ihn | - |
dc.date.accessioned | 2009-10-14T10:24:41Z | - |
dc.date.available | 2009-10-14T10:24:41Z | - |
dc.date.issued | 2007-06-21 | - |
dc.identifier.citation | AJR 2007; 189:41-51 | en |
dc.identifier.issn | 1546-3141 (Electronic) | - |
dc.identifier.uri | http://www.ncbi.nlm.nih.gov/entrez/query.fcgi?cmd=Retrieve&db=PubMed&dopt=Citation&list_uids=17579150 | - |
dc.identifier.uri | https://hdl.handle.net/10371/10447 | - |
dc.description.abstract | OBJECTIVE: The purpose of our study was to develop a Hessian matrix-based computer-aided detection (CAD) algorithm for polyp detection on CT colonography (CTC) and to analyze its performance in a high-risk population. SUBJECTS AND METHODS: The CTC data sets of 35 patients with at least one colonoscopically proven polyp were interpreted with a Hessian matrix-based CAD algorithm, which was designed to depict bloblike structures protruding into the lumen. Our gold standard was a combination of segmental unblinded optical colonoscopy and retrospective unblinded consensus review by two radiologists. Sensitivity of CAD for polyp detection was evaluated on both per-polyp and per-patient bases. The average number of false-positive detections was calculated, and the causes of false-positives and false-negatives were analyzed. RESULTS: Ninety-four polyps were identified on colonoscopy. Forty-six polyps were smaller than 6 mm and 48 were 6 mm or larger. Seventy-five (79.8%) of these 94 polyps were identified by radiologists in a retrospective review. When colonoscopy was used as a standard of reference, the sensitivity of CAD was 77.1% for polyps 6 mm or larger. For large polyps (> or = 6 mm) that could be identified on retrospective review, the CAD algorithm achieved sensitivities of 92.5% (37/40) and 91.7% (22/24), respectively, on per-polyp and per-patient bases. There were an average of 5.5 false-positive detections per patient and 3.1 false-positive detections per data set for CAD. The two most frequent causes of false-positives on CAD were prominent or converging fold (78/191) and feces (50/191). Of the three polyps 6 mm or larger that were missed by CAD, two had a flat appearance on colonoscopy and the remaining one was located in the narrow area between the rectal tube and the rectal wall. CONCLUSION: A Hessian matrix-based CAD algorithm for CTC has the potential to depict polyps larger than or equal to 6 mm with high sensitivity and an acceptable false-positive rate. | en |
dc.description.sponsorship | Supported by grant 0412-MI00-0401-0007 from the Korea
Health 21 R&D Project, Ministry of Health & Welfare, Republic of Korea. | en |
dc.language.iso | en | en |
dc.publisher | American Roentgen Ray Society | en |
dc.subject | Adult | en |
dc.subject | Aged | en |
dc.subject | Colonic Polyps/*radiography | en |
dc.subject | Colonography, Computed Tomographic/*methods | en |
dc.subject | Female | en |
dc.subject | Humans | en |
dc.subject | Male | en |
dc.subject | Middle Aged | en |
dc.subject | Pattern Recognition, Automated/*methods | en |
dc.subject | Pilot Projects | en |
dc.subject | Radiographic Image Interpretation, Computer-Assisted/*methods | en |
dc.subject | Reproducibility of Results | en |
dc.subject | Sensitivity and Specificity | en |
dc.subject | Algorithms | - |
dc.subject | Artificial Intelligence | - |
dc.title | Computer-aided detection of colonic polyps at CT colonography using a Hessian matrix-based algorithm: preliminary study | en |
dc.type | Article | en |
dc.contributor.AlternativeAuthor | 김세형 | - |
dc.contributor.AlternativeAuthor | 이정민 | - |
dc.contributor.AlternativeAuthor | 이준구 | - |
dc.contributor.AlternativeAuthor | 김종효 | - |
dc.contributor.AlternativeAuthor | 한준구 | - |
dc.contributor.AlternativeAuthor | 최병인 | - |
dc.identifier.doi | 10.2214/AJR.07.2072 | - |
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