Automated mass detection in contrast-enhanced CT colonography: an approach based on contrast and volume |
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Authors: | W Luboldt C Tryon M Kroll T L Toussaint K Holzer N Hoepffner T J Vogl |
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Institution: | (1) Clinic and Policlinic of Angiology, University Hospital Essen, Hufelandstrasse 55, 45122 Essen, Germany;(2) Multiorgan Screening Foundation,;(3) Philips Medical Systems, Best, The Netherlands;(4) Department of Radiology, University Hospital Frankfurt, Frankfurt, Germany;(5) Department of Visceral and Vascular Surgery, University Hospital Frankfurt, Frankfurt, Germany;(6) Department of Gastroenterology, University Hospital Frankfurt, Frankfurt, Germany |
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Abstract: | The purpose of this feasibility study was to design and test an algorithm for automating mass detection in contrast-enhanced CT colonography (CTC). Five patients with known colorectal masses underwent a pre-surgical contrast-enhanced (120 ml volume 1.6 g iodine/s injection rate, 60 s scan delay) CTC in high spatial resolution (16-slice CT: collimation: 16×0.75 mm, tablefeed: 24 mm/0.5 s, reconstruction increment: 0.5 mm). A CT-density- and volume-based algorithm searched for masses in the colonic wall, which was extracted before by segmenting and dilating the colonic air lumen and subtracting the inner air. A radiologist analyzed the detections and causes of false positives. All masses were detected, and false positives were easy to identify. Combining CT density with volume as a cut-off is a promising approach for automating mass detection that should be further refined and also tested in contrast-enhanced MR colonography. More information under . |
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Keywords: | Colorectal masses CT colonography Computer-aided detection (CAD) |
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