Paper
12 May 2004 Alignment of dynamic contrast-enhanced MR volumes of the breast for a multicenter trial: an exemplar grid application
Yalin Zheng, Christine Tanner, Derek L. G. Hill, David J. Hawkes, Mark J. White, Michael Khazen, Martin O. Leach
Author Affiliations +
Abstract
Image registration is a very important procedure in medical imaging analysis. However, the intensive computations involved in image registration have to some extent made it impractical for interactive use as well as limiting its general availability. This paper presents our current Grid project to facilitate image registration tasks. We have set up an image registration Grid by combining the attractive features of both Globus and Condor distributed computing environments. In order to make it more convenient to use, we have also developed a web interface for potential clients to specify and submit their image registration jobs to the Grid. The initial experiments in 3D breast MR images have shown encouraging results and demonstrated the suitability of Grid technology to this type of computationally intensive applications. The image registration Grid makes it much more straightforward for different institutes to use the identical registration program and protocols to register images consistently, quickly and efficiently. This can greatly improve data sharing and comparative studies in multi-centre trials. The Grid presented here could be an important step for clinical applications of image registration. Future work will focus on refining the Grid with the aim of upgrading it to a Grid Service and testing the system more extensively with medical imaging dataset.
© (2004) COPYRIGHT Society of Photo-Optical Instrumentation Engineers (SPIE). Downloading of the abstract is permitted for personal use only.
Yalin Zheng, Christine Tanner, Derek L. G. Hill, David J. Hawkes, Mark J. White, Michael Khazen, and Martin O. Leach "Alignment of dynamic contrast-enhanced MR volumes of the breast for a multicenter trial: an exemplar grid application", Proc. SPIE 5370, Medical Imaging 2004: Image Processing, (12 May 2004); https://doi.org/10.1117/12.535151
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Cited by 3 scholarly publications.
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KEYWORDS
Image registration

Breast

Magnetic resonance imaging

Medical imaging

Rigid registration

3D image processing

Breast cancer

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