Parallel image registration with a thin client interface

Ganesh Saiprasad, Yi Jung Lo, William Plishker, Peng Lei, Tabassum Ahmad, Raj Shekhar

Research output: Chapter in Book/Report/Conference proceedingConference contribution

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.

Original languageEnglish
Title of host publicationMedical Imaging 2010 - Advanced PACS-based Imaging Informatics and Therapeutic Applications
DOIs
StatePublished - Jun 17 2010
Externally publishedYes
EventMedical Imaging 2010 - Advanced PACS-based Imaging Informatics and Therapeutic Applications - San Diego, CA, United States
Duration: Feb 17 2010Feb 18 2010

Publication series

NameProgress in Biomedical Optics and Imaging - Proceedings of SPIE
Volume7628
ISSN (Print)1605-7422

Conference

ConferenceMedical Imaging 2010 - Advanced PACS-based Imaging Informatics and Therapeutic Applications
CountryUnited States
CitySan Diego, CA
Period02/17/1002/18/10

Keywords

  • Multiple Sclerosis
  • PET-CT registration
  • Parallel Image Registration
  • Thin-Client

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  • Cite this

    Saiprasad, G., Lo, Y. J., Plishker, W., Lei, P., Ahmad, T., & Shekhar, R. (2010). Parallel image registration with a thin client interface. In Medical Imaging 2010 - Advanced PACS-based Imaging Informatics and Therapeutic Applications [76280V] (Progress in Biomedical Optics and Imaging - Proceedings of SPIE; Vol. 7628). https://doi.org/10.1117/12.844457