Evaluation of GMI and PMI diffeomorphic-based demons algorithms for aligning PET and CT Images.

ABSTRACT: Fusion of anatomic information in computed tomography (CT) and functional information in 18F-FDG positron emission tomography (PET) is crucial for accurate differentiation of tumor from benign masses, designing radiotherapy treatment plan and staging of cancer. Although current PET and CT images can be acquired from combined 18F-FDG PET/CT scanner, the two acquisitions are scanned separately and take a long time, which may induce potential positional errors in global and local caused by respiratory motion or organ peristalsis. So registration (alignment) of whole-body PET and CT images is a prerequisite for their meaningful fusion. The purpose of this study was to assess the performance of two multimodal registration algorithms for aligning PET and CT images. The proposed gradient of mutua

SUBMITTER: Yang J 

PROVIDER: S-EPMC5690013 | biostudies-literature | 2015 Jul

REPOSITORIES: biostudies-literature