Fast, accurate, and fully automatic segmentation of the right ventricle in short-axis cardiac MRI

作者：Ringenberg Jordan^*; Deo Makarand; Devabhaktuni Vijay; Berenfeld Omer; Boyers Pamela; Gold Jeffrey

来源：Computerized Medical Imaging and Graphics, 2014, 38(3): 190-201.

DOI：10.1016/j.compmedimag.2013.12.011

• Cardiac MRI
• Ventricular segmentation
• A priori constraints
• Optimal thresholding
• Binary difference of Gaussians filter

This paper presents a fully automatic method to segment the right ventricle (RV) from short-axis cardiac M. 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.

• 出版日期2014-4