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Evaluation of Blood Vessel Detection Methods
Sadeghzadeh, R; Berks, M; Astley, S M; Taylor, C J
In: Dawant, B M; Haynor, D R. Medical Imaging 2011: Image Processing; 2011. p. 1-12.
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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 ground-truth 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.
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- Related website <Go to ISI>://WOS:000294154900134
- Sadeghzadeh, R. Berks, M. Astley, S. M. Taylor, C. J. Conference on Medical Imaging 2011 - Image Processing Feb 14-16, 2011 Lake Buena Vista, FL Dynasil Corp/RMD Res, Amer Assoc Physicists Med, DQE Instruments, Inc, Ocean Thin Films, Inc, Univ Cent Florida, CREOL - Coll Opt & Photon, VIDA Diagnost, Inc, SPIE