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Proceedings Paper

Evaluation of blood vessel detection methods
Author(s): R. Sadeghzadeh; M. Berks; S. M. Astley; C. J. Taylor
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Paper Abstract

We address the problem of evaluating the performance of algorithms for detecting curvilinear structures in medical images. As an exemplar we consider the detection of vessel trees which contain structures of variable width and contrast. Results for the conventional approach to evaluation, in which the detector output is compared directly with a groundtruth mask, tend to be dominated by the detection of large vessels and fail to capture adequately whether or not finer, lower contrast vessels have been detected successfully. We propose and investigate three alternative evaluation strategies. We demonstrate the use of the standard and new evaluation strategies to assess the performance of a novel method for detecting vessels in retinograms, using the publicly available DRIVE database.

Paper Details

Date Published: 15 March 2011
PDF: 12 pages
Proc. SPIE 7962, Medical Imaging 2011: Image Processing, 79623U (15 March 2011); doi: 10.1117/12.878723
Show Author Affiliations
R. Sadeghzadeh, The Univ. of Manchester (United Kingdom)
M. Berks, The Univ. of Manchester (United Kingdom)
S. M. Astley, The Univ. of Manchester (United Kingdom)
C. J. Taylor, The Univ. of Manchester (United Kingdom)


Published in SPIE Proceedings Vol. 7962:
Medical Imaging 2011: Image Processing
Benoit M. Dawant; David R. Haynor, Editor(s)

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