Numerical Simulation of 3D/2D Coronary Artery Registration
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Patient 4 CT
CTs and MRIs were both acquired under radiotherapy immobilization protocols with patients in the treatment position. CT scans were acquired on one of four machine models (LightSpeed RT16, GE Medical S
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Registration failure rates for sub-shape registration. (Experiment 6).
Source shapes were randomly generated from from a mesh model of a human femur (Fig. 1B), misaligned by [10, 20] mm / degrees, and registered back to a point-cloud representation of the mesh. The test
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Registration errors and distance differences between superimposed CBCT and 3-D photographic skin surfaces.
Registration errors and distance differences between superimposed CBCT and 3-D photographic skin surfaces.
Figshare2015-12-02 更新40
746 Registered Images
All modalities were aligned to IMS data on a per pixel basis, by linking of the theoretical pixel location in each image to the laser ablation marks made by the IMS laser in a raster across the tissue
Figshare2020-03-24 更新50
Additional file 1: of Myocardial blood flow and myocardial flow reserve values in 13N–ammonia myocardial perfusion PET/CT using a time-efficient protocol in patients without coronary artery disease
Complete dataset in .sav format. (SAV 88 kb)
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