Registration guided simulation of prostate movement for radiation therapy

Yifan Shen, Nirvik A. Das, Yue Zhang, Wolfram Laub

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

Abstract

Developing an accurate dosage plan for radiation therapy is crucial to the success of the treatment, yet many obstacles still exist in spite of the application of the modern technology. One such challenge is revealed in registering CT scans and MRI images, that capture the location and geometry of the prostate. Due to bodily functions and breathing of the patients, the prostate moves with respect to different images. Relying solely on computer vision techniques such as the demons algorithm, can at best give a quantitative measurement of the differences between images. How the differences are created remains unknown. We develop a pipeline in which we first employ simulations of the movement and deformation of the rectum to depict its influence on the position variation of the prostate, then calculate the displacement fields using demons image registration algorithm, and lastly use the displacement field to correct the simulations to match with the target image. Potentially, physicians can better devise dosage planning knowing how the prostate moves during the treatment.

Original languageEnglish (US)
Title of host publicationProceedings - 2016 International Conference on Computational Science and Computational Intelligence, CSCI 2016
PublisherInstitute of Electrical and Electronics Engineers Inc.
Pages1-6
Number of pages6
ISBN (Electronic)9781509055104
DOIs
Publication statusPublished - Mar 17 2017
Event2016 International Conference on Computational Science and Computational Intelligence, CSCI 2016 - Las Vegas, United States
Duration: Dec 15 2016Dec 17 2016

Other

Other2016 International Conference on Computational Science and Computational Intelligence, CSCI 2016
CountryUnited States
CityLas Vegas
Period12/15/1612/17/16

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Keywords

  • FEM
  • physically based
  • prostate
  • registration
  • simulation

ASJC Scopus subject areas

  • Computer Science Applications
  • Information Systems
  • Health Informatics
  • Artificial Intelligence
  • Computer Networks and Communications

Cite this

Shen, Y., Das, N. A., Zhang, Y., & Laub, W. (2017). Registration guided simulation of prostate movement for radiation therapy. In Proceedings - 2016 International Conference on Computational Science and Computational Intelligence, CSCI 2016 (pp. 1-6). [7881302] Institute of Electrical and Electronics Engineers Inc.. https://doi.org/10.1109/CSCI.2016.0009