An artificial vision system for X-ray images of human coronarytrees
Coppini, G.
Demi, M.
Poli, R.
Valli, G.
CNR Inst. of Clinical Physiol., Pisa;
This paper appears in: Pattern Analysis and Machine Intelligence, IEEE Transactions on
Publication Date: Feb 1993
Volume: 15,
Issue: 2
On page(s): 156-162
ISSN: 0162-8828
References Cited: 17
CODEN: ITPIDJ
INSPEC Accession Number: 4396878
Digital Object Identifier: 10.1109/34.192487
Current Version Published: 2002-08-06
Abstract
The coronary tree expert (CORTEX) analyzer, which is a vision
system for the description of the bidimensional shape and position of
coronary vessels using standard nonsubtracted radiographic images, is
described. A bottom-up approach was used to deal with the typical
characteristics of medical images, such as structural and nonstructural
noise and complexity and variability of biological shapes. On these
grounds, grouping criteria were utilized to produce intermediate image
representations with an increasing complexity in a hierarchical manner
(from edge points to curves, segments, bars, and finally to vessels and
their mutual relations). In this way, uncertain, inconsistent, and
deficient information was efficiently processed. The evaluation of
CORTEX segmentation is also performed according to a
signal-detection-theory-like approach
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