GPU-based segmentation of cervical vertebra in X-Ray images

[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

Available on ORBi UMONS :

since 18 January 2011

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