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

Content Provider	IEEE Xplore Digital Library
Author	Mahmoudi, S.A. Lecron, F. Manneback, P. Benjelloun, M. Mahmoudi, S.
Copyright Year	2010
Description	Author affiliation: University of Mons, Faculty of Engineering, Computer Science Department, Place du Parc, 20, 7000 Mons, Belgium (Mahmoudi, S.A.; Lecron, F.; Manneback, P.; Benjelloun, M.; Mahmoudi, S.)
Abstract	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.
Starting Page	1
Ending Page	8
File Size	671055
Page Count	8
File Format	PDF
ISBN	9781424483952
e-ISBN	9781424483969
e-ISBN	9781424483976
DOI	10.1109/CLUSTERWKSP.2010.5613102
Language	English
Publisher	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Publisher Date	2010-09-20
Publisher Place	Greece
Access Restriction	Subscribed
Rights Holder	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Subject Keyword	CUDA Image segmentation Active Shape Model Vertebra Segmentation Shape Edge Detection Image edge detection X-Ray Medical Images GPU Pixel Graphics processing unit Biomedical imaging
Content Type	Text
Resource Type	Article

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