DocumentCode :
3683893
Title :
Mutual cineMR/RT3DUS cardiac segmentation
Author :
Clément Beitone;Christophe Tilmant;Frédéric Chausse
Author_Institution :
Université
fYear :
2015
Firstpage :
125
Lastpage :
128
Abstract :
We present a new method to segment a cardiac RT3D ultrasound volume by integrating the registered segmentation of a cardiac cine-MR series in short axis of the same patient. The motivation behind our method is to improve the ultrasound segmentation process by integrating a reference shape built using the cine-MR segmentation on the same patient. As a side effect we obtain a close registration of the cine MR short axis slices with respect to the ultrasound volume. We use the level set framework with a functional including a region-based and a shape-based term. The reference shape is iteratively registered onto the contour during the ultrasound segmentation process and using an affine transform. The proposed method is demonstrated on the MICCAI11 Motion Tracking Challenge database.
Keywords :
"Image segmentation","Shape","Biomedical imaging","Ultrasonic imaging","Level set","Three-dimensional displays","Transforms"
Publisher :
ieee
Conference_Titel :
Engineering in Medicine and Biology Society (EMBC), 2015 37th Annual International Conference of the IEEE
ISSN :
1094-687X
Electronic_ISBN :
1558-4615
Type :
conf
DOI :
10.1109/EMBC.2015.7318316
Filename :
7318316
Link To Document :
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