NDLI: Coronary Artery Segmentation in Angiograms with Pattern Recognition Techniques -- A Survey

Content Provider	IEEE Xplore Digital Library
Author	Tayebi, R.M. Binti Sulaiman, P.S. Wirza, R. Dimon, M.Z. Kadiman, S. Binti Abdullah, L.N. Mazaheri, S.
Copyright Year	2013
Description	Author affiliation: Fac. of Comput. Sci. & Inf. Technol., Univ. Putra Malaysia, Serdang, Malaysia (Tayebi, R.M.; Binti Sulaiman, P.S.; Wirza, R.; Binti Abdullah, L.N.; Mazaheri, S.) \|\| Fac. of Med., Surg. Cluster, Cardiothoracic Unit, UiTM, Shah Alam, Malaysia (Dimon, M.Z.) \|\| Nat. Heart Inst./Inst. Jantung Negara (IJN), Malaysia (Kadiman, S.)
Abstract	Medical image processing is nowadays one of the best tools to make an informative model from a raw image of each part of the body, and segmentation is the most important step in which used to extract significant features. Coronary artery segmentation algorithm in angiograms is a fundamental component of each cardiac image processing system. There are lots of techniques and algorithms proposed for extracting coronary arteries in angiograms. But based on our knowledge, there is not any review paper to categorize and compare them together. In this paper, we have divided these algorithms into five major classes and propose a survey for the main class, pattern recognition, which is a famous technique in this manner. We studied all the papers in the pattern recognition class and defined six categories for them: (1) Multi scale approaches (2) Region growing approaches (3) Matching filters approaches (4) Mathematical morphology approaches (5) Skeleton based approaches and (6) Ridge based approaches. Finally, we made a table to compare all the algorithms in each category against criteria such as: user interaction, angiography types, dimensionality, enhancement method, full coronary artery output, whole tree output, and 3D reconstruction ability.
Starting Page	321
Ending Page	326
File Size	196215
Page Count	6
File Format	PDF
ISBN	9781479927586
DOI	10.1109/ACSAT.2013.70
Language	English
Publisher	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Publisher Date	2013-12-23
Publisher Place	Malaysia
Access Restriction	Subscribed
Rights Holder	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Subject Keyword	Medical image processing Image segmentation Matched filters Survey Coronary artery segmentation Angiography Skeleton Pattern recognition Angiogram Arteries
Content Type	Text
Resource Type	Article

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