Title :
Registration in digital subtraction angiography using multiple ROI´s
Author :
Bao, Lei ; Sachs, Peter B. ; Wilson, David L.
Author_Institution :
Dept. of Biomed. Eng., Case Western Reserve Univ., Cleveland, OH, USA
Abstract :
Describes a method for using multiple regions of interest to register the digital subtraction angiography images. For each region of interest (ROI) placed on the mask image, similarity measures are optimized to determine the best sub-pixel x and y shifts. A figure of merit is calculated for each ROI and used to determine the best pixel shift vector for the entire image. Preliminary results indicate that the method is robust
Keywords :
diagnostic radiography; image registration; medical image processing; best pixel shift vector; digital subtraction angiography registration; figure of merit; mask image; medical diagnostic imaging; optimized similarity measures; region of interest; subpixel x shifts; subpixel y shifts; Angiography; Biomedical engineering; Biomedical imaging; Biomedical measurements; Blood vessels; Degradation; Image quality; Pixel; Robustness; Streaming media; X-ray imaging;
Conference_Titel :
Engineering in Medicine and Biology Society, 1994. Engineering Advances: New Opportunities for Biomedical Engineers. Proceedings of the 16th Annual International Conference of the IEEE
Conference_Location :
Baltimore, MD
Print_ISBN :
0-7803-2050-6
DOI :
10.1109/IEMBS.1994.411933
