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Proceedings Paper

Parallel image registration with a thin client interface
Author(s): Ganesh Saiprasad; Yi-Jung Lo; William Plishker; Peng Lei; Tabassum Ahmad; Raj Shekhar
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Paper Abstract

Despite its high significance, the clinical utilization of image registration remains limited because of its lengthy execution time and a lack of easy access. The focus of this work was twofold. First, we accelerated our course-to-fine, volume subdivision-based image registration algorithm by a novel parallel implementation that maintains the accuracy of our uniprocessor implementation. Second, we developed a thin-client computing model with a user-friendly interface to perform rigid and nonrigid image registration. Our novel parallel computing model uses the message passing interface model on a 32-core cluster. The results show that, compared with the uniprocessor implementation, the parallel implementation of our image registration algorithm is approximately 5 times faster for rigid image registration and approximately 9 times faster for nonrigid registration for the images used. To test the viability of such systems for clinical use, we developed a thin client in the form of a plug-in in OsiriX, a well-known open source PACS workstation and DICOM viewer, and used it for two applications. The first application registered the baseline and follow-up MR brain images, whose subtraction was used to track progression of multiple sclerosis. The second application registered pretreatment PET and intratreatment CT of radiofrequency ablation patients to demonstrate a new capability of multimodality imaging guidance. The registration acceleration coupled with the remote implementation using a thin client should ultimately increase accuracy, speed, and access of image registration-based interpretations in a number of diagnostic and interventional applications.

Paper Details

Date Published: 12 March 2010
PDF: 9 pages
Proc. SPIE 7628, Medical Imaging 2010: Advanced PACS-based Imaging Informatics and Therapeutic Applications, 76280V (12 March 2010); doi: 10.1117/12.844457
Show Author Affiliations
Ganesh Saiprasad, Univ. of Maryland School of Medicine (United States)
Yi-Jung Lo, Univ. of Maryland School of Medicine (United States)
William Plishker, Univ. of Maryland School of Medicine (United States)
Peng Lei, Univ. of Maryland School of Medicine (United States)
Tabassum Ahmad, Univ. of Maryland School of Medicine (United States)
Raj Shekhar, Univ. of Maryland School of Medicine (United States)


Published in SPIE Proceedings Vol. 7628:
Medical Imaging 2010: Advanced PACS-based Imaging Informatics and Therapeutic Applications
Brent J. Liu; William W. Boonn, Editor(s)

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