A Robust and Fast System for CTC Computer-Aided Detection of Colorectal Lesions

We present a complete, end-to-end computer-aided detection (CAD) system for identifying lesions in the colon, imaged with computed tomography (CT). This system includes facilities for colon segmentation, candidate generation, feature analysis, and classification. The algorithms have been designed to...

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Bibliographic Details
Published in:Algorithms 2010-03, Vol.3 (1), p.21-43
Main Authors: Slabaugh, Greg, Yang, Xiaoyun, Ye, Xujiong, Boyes, Richard, Beddoe, Gareth
Format: Article
Language:English
Subjects:
CAD
colorectal lesion detection
pattern recognition
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Summary:We present a complete, end-to-end computer-aided detection (CAD) system for identifying lesions in the colon, imaged with computed tomography (CT). This system includes facilities for colon segmentation, candidate generation, feature analysis, and classification. The algorithms have been designed to offer robust performance to variation in image data and patient preparation. By utilizing efficient 2D and 3D processing, software optimizations, multi-threading, feature selection, and an optimized cascade classifier, the CAD system quickly determines a set of detection marks. The colon CAD system has been validated on the largest set of data to date, and demonstrates excellent performance, in terms of its high sensitivity, low false positive rate, and computational efficiency.
ISSN:1999-4893
1999-4893
DOI:10.3390/a3010021