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Fast, accurate, and fully automatic segmentation of the right ventricle in short-axis cardiac MRI.
- Source :
-
Computerized Medical Imaging & Graphics . Apr2014, Vol. 38 Issue 3, p190-201. 12p. - Publication Year :
- 2014
-
Abstract
- Abstract: This paper presents a fully automatic method to segment the right ventricle (RV) from short-axis cardiac MRI. A combination of a novel window-constrained accumulator thresholding technique, binary difference of Gaussian (DoG) filters, optimal thresholding, and morphology are utilized to drive the segmentation. A priori segmentation window constraints are incorporated to guide and refine the process, as well as to ensure appropriate area confinement of the segmentation. Training and testing were performed using a combined 48 patient datasets supplied by the organizers of the MICCAI 2012 right ventricle segmentation challenge, allowing for unbiased evaluations and benchmark comparisons. Marked improvements in speed and accuracy over the top existing methods are demonstrated. [Copyright &y& Elsevier]
Details
- Language :
- English
- ISSN :
- 08956111
- Volume :
- 38
- Issue :
- 3
- Database :
- Academic Search Index
- Journal :
- Computerized Medical Imaging & Graphics
- Publication Type :
- Academic Journal
- Accession number :
- 94568948
- Full Text :
- https://doi.org/10.1016/j.compmedimag.2013.12.011