Towards An Automatic Segmentation for Assessment of Cardiac Left Ventricle Function

D. N. F, Awang Iskandar and Amjad, Khan (2016) Towards An Automatic Segmentation for Assessment of Cardiac Left Ventricle Function. RoViSP, 129 (2). ISSN 978-981-10-1721-6

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Abstract

Research on detecting, recognising and interpreting Cardiac MRI has started since the 1980s. The problem with manual tracing efforts hampering the adoption of cardiac MRI as routine investigation. Manual tracing is also dependent on image quality, and there is no one-size-fitsall MRI setting for the optimum image result. In this paper, we present a proposed approach to automatically detect the left ventricle (LV) wall in the effort to automatically assist the assessment of cardiac function. Using a standard bechmark dataset, our experiments have shown that our proposed method had effectively improve the automatic detection of the epicardium and endocardium.

Item Type: Article
Uncontrolled Keywords: Cardiac MRI, Left Ventricle, Automatic Segmentation, unimas, university, universiti, Borneo, Malaysia, Sarawak, Kuching, Samarahan, ipta, education, research, Universiti Malaysia Sarawak
Subjects: R Medicine > R Medicine (General)
Divisions: Academic Faculties, Institutes and Centres > Faculty of Computer Science and Information Technology
Depositing User: Karen Kornalius
Date Deposited: 22 Jun 2016 06:42
Last Modified: 22 Jun 2016 06:42
URI: http://ir.unimas.my/id/eprint/12434

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