NDLI: A pattern recognition approach to automated coronary calcium scoring

Content Provider	IEEE Xplore Digital Library
Author	Isgum, I. van Ginneken, B. Prokop, M.
Copyright Year	2004
Description	Author affiliation: Image Sci. Inst., Univ. Med. Center, Utrecht, Netherlands (Isgum, I.; van Ginneken, B.)
Abstract	An automated method for coronary calcification detection is presented. First the heart region is extracted, in which objects potentially representing calcifications are obtained by thresholding. Besides coronary calcifications, the set of objects includes other heart calcifications, bony structures and noise. For each object, features describing its size, shape, position and appearance are computed. Several classifiers and classification strategies are evaluated. Best results are obtained with a specifically designed sequence of kNN classifiers that employ sequential forward feature selection. First obvious non-calcifications are removed, then calcifications are distinguished from non-calcifications and a final classifier discerns coronary calcifications from other cardiac calcifications. In 14 CT scans containing 61 coronary calcifications, 46 (75%) are detected at the expense of on average 0.9 false positive objects per scan.
Starting Page	746
Ending Page	749
File Size	413337
Page Count	4
File Format	PDF
ISBN	0769521282
ISSN	10514651
DOI	10.1109/ICPR.2004.1334636
Language	English
Publisher	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Publisher Date	2004-08-26
Publisher Place	UK
Access Restriction	Subscribed
Rights Holder	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Subject Keyword	Pattern recognition Calcium Heart Arteries Computed tomography Biomedical imaging Coronary arteriosclerosis Electrocardiography Radiology Noise shaping
Content Type	Text
Resource Type	Article
Subject	Computer Vision and Pattern Recognition

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