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GPU-based segmentation of cervical vertebra in X-Ray images
Mahmoudi, Sidi; Lecron, Fabian; Manneback, Pierre et al.
2010
 

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Abstract :
[en] The segmentation of cervical vertebra in X-Ray radiographs can give valuable information for the study of the vertebral mobility. One particular characteristic of the X-Ray images is that they present very low grey level variation and makes the segmentation difficult to perform. In this paper, we propose a segmentation procedure based on the Active Shape Model to deal with this issue. However, this application is seriously hampered by its considerable computation time. We present how vertebra extraction can efficiently be performed in exploiting the vast processing power of the Graphics Processing Units (GPU). We propose a CUDA-based GPU implementation of the most intensive processing steps enabling to boost performance. Experimentations have been conducted using a set of high resolution X-Ray medical images, showing a global speedup ranging from 15 to 21, by comparison with the CPU implementation.
Research center :
BIOSYS - Biosys
Disciplines :
Computer science
Author, co-author :
Mahmoudi, Sidi  ;  Université de Mons > Faculté Polytechnique > Informatique, Logiciel et Intelligence artificielle
Lecron, Fabian ;  Université de Mons > Faculté Polytechnique > Informatique, Logiciel et Intelligence artificielle
Manneback, Pierre ;  Université de Mons > Faculté Polytechnique > Informatique, Logiciel et Intelligence artificielle
Benjelloun, Mohammed ;  Université de Mons > Faculté Polytechnique > Informatique, Logiciel et Intelligence artificielle
Mahmoudi, Said  ;  Université de Mons > Faculté Polytechnique > Informatique, Logiciel et Intelligence artificielle
Language :
English
Title :
GPU-based segmentation of cervical vertebra in X-Ray images
Publication date :
20 September 2010
Event name :
IEEE International Conference on Cluster Computing
Event place :
Crete, Greece
Event date :
2010
Research unit :
F114 - Informatique, Logiciel et Intelligence artificielle
Research institute :
R450 - Institut NUMEDIART pour les Technologies des Arts Numériques
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