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Derivation of expected registration error for pointbased rigidbody registration 333801
Refined localization of threedimensional anatomical point landmarks using multistep
Machine precision assessment for 3D2D digital subtracted angiography image registration
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accuracy algorithm analysis applied approach average background border brain breast calculated changes classification clustering combination compared computed considered contains contour contrast correction corresponding curve defined described detection determined developed direction distance distribution edge effect element error estimate evaluation example experiments extracted field Figure filter function given gradient graph IEEE Image Processing improved initial intensity label lesion matching matrix matter mean measure Medical Imaging method motion node noise normal object obtained operator optimization original parameters patient Pattern performance pixels points position presented problem procedure projection provides reconstruction reference region registration represents respectively rotation segmentation selected shape shown shows signal similarity simulated slice space SPIE standard statistical step structures surface Table technique texture threshold tissue transformation tumor vector vessel volume voxels x-ray