Joint CT/CBCT deformable registration and CBCT enhancement for cancer radiotherapy

Yifei Lou, Tianye Niu, Xun Jia, Patricio A. Vela, Lei Zhu, Allen R. Tannenbaum

Research output: Contribution to journalArticle

23 Scopus citations

Abstract

This paper details an algorithm to simultaneously perform registration of computed tomography (CT) and cone-beam computed (CBCT) images, and image enhancement of CBCT. The algorithm employs a viscous fluid model which naturally incorporates two components: a similarity measure for registration and an intensity correction term for image enhancement. Incorporating an intensity correction term improves the registration results. Furthermore, applying the image enhancement term to CBCT imagery leads to an intensity corrected CBCT with better image quality. To achieve minimal processing time, the algorithm is implemented on a graphic processing unit (GPU) platform. The advantage of the simultaneous optimization strategy is quantitatively validated and discussed using a synthetic example. The effectiveness of the proposed algorithm is then illustrated using six patient datasets, three head-and-neck datasets and three prostate datasets.

Original languageEnglish (US)
Pages (from-to)387-400
Number of pages14
JournalMedical Image Analysis
Volume17
Issue number3
DOIs
StatePublished - Apr 1 2013

Keywords

  • Deformable image registration
  • Multimodal registration
  • Mutual information
  • Scatter removal
  • Shading correction

ASJC Scopus subject areas

  • Radiological and Ultrasound Technology
  • Radiology Nuclear Medicine and imaging
  • Computer Vision and Pattern Recognition
  • Health Informatics
  • Computer Graphics and Computer-Aided Design

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