DocumentCode :
3315076
Title :
Optimal mass transport and image registration
Author :
Haker, Steven ; Tannenbaum, Allen
Author_Institution :
Dept. of Radiol., Brigham & Women´´s Hospital, Boston, MA, USA
fYear :
2001
fDate :
2001
Firstpage :
29
Lastpage :
36
Abstract :
Image registration is the process of establishing a common geometric reference frame between two or more data sets from the same or different imaging modalities possibly taken at different times. In the context of medical imaging and in particular image-guided therapy, the registration problem consists of finding automated methods that align multiple data sets with each other and with the patient. We propose a method of elastic registration based on the Monge-Kantorovich problem of optimal mass transport
Keywords :
image registration; medical image processing; optimisation; patient treatment; Monge-Kantorovich problem; elastic registration; geometric reference frame; image registration; image-guided therapy; medical imaging; multiple data set alignment; optimal mass transport; Biomedical imaging; Image registration; Magnetic resonance imaging; Medical treatment; Process planning; Radiology; Shape measurement; Surgery; Technology planning; Transportation;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Variational and Level Set Methods in Computer Vision, 2001. Proceedings. IEEE Workshop on
Conference_Location :
Vancouver, BC
Print_ISBN :
0-7695-1278-X
Type :
conf
DOI :
10.1109/VLSM.2001.938878
Filename :
938878
Link To Document :
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