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Comparison of 2D and 3D clustering on Short Axis Magnetic Resonance Images of the left ventricle

Lynch, Michael and Ghita, Ovidiu and Whelan, Paul F. (2004) Comparison of 2D and 3D clustering on Short Axis Magnetic Resonance Images of the left ventricle. In: CARS 2004 Computer Assisted Radiology and Surgery, June 2004, Chicago, USA..

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Abstract

A comparative study is performed between segmentation results of the left ventricle endo-cardial boundary (inner wall) using a 2D and 3D clustering approach. Segmentation of the endo-cardial boundary is an important process in the evaluation of the left ventricle cavity volume, used to measure heart function. The ejection fraction is an important measurement for the early prognosis and treatment monitoring of many types of Cardiovascular Disease (CVD).

Item Type:Conference or Workshop Item (Poster)
Event Type:Conference
Refereed:Yes
Uncontrolled Keywords:computer vision; image analysis; Image segmentation; Endocaridal boundary
Subjects:UNSPECIFIED
DCU Faculties and Centres:DCU Faculties and Schools > Faculty of Engineering and Computing > School of Electronic Engineering
Use License:This item is licensed under a Creative Commons Attribution-NonCommercial-Share Alike 3.0 License. View License
ID Code:18774
Deposited On:15 Aug 2013 09:48 by Mark Sweeney. Last Modified 27 Oct 2017 09:42

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