| Literature DB >> 23433756 |
Yifei Lou1, Tianye Niu, Xun Jia, Patricio A Vela, Lei Zhu, Allen R Tannenbaum.
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. Published by Elsevier B.V.Entities:
Mesh:
Year: 2013 PMID: 23433756 PMCID: PMC3640424 DOI: 10.1016/j.media.2013.01.005
Source DB: PubMed Journal: Med Image Anal ISSN: 1361-8415 Impact factor: 8.545