Title :
Volume registration by surface point signature and mutual information maximization with applications in intra-operative MRI surgeries
Author :
Eldeib, Ayman M. ; Yamany, Sameh M. ; Farag, Aly A.
Author_Institution :
Comput. Vision & Image Process. Lab., Louisville Univ., KY, USA
Abstract :
Intra-operative MRI (iMRI) is a new technology that allows near real time updates of scans during a surgical procedure under the magnet. From an initial comprehensive scan, 3D volumes are obtained. During the surgery, only the portion of the organ under surgery needs to be re-scan (region of interest-ROI) in order to guide the progress of the surgery, and validate the procedure. We describe a registration approach which can be used for iMRI applications. Registration is performed through a hybrid of the surface point signature approach (SPS) and the maximization of the mutual information (MI) criterion. We demonstrate the approach on some real data
Keywords :
biomedical MRI; image registration; image segmentation; surgery; 3D volumes; iMRI applications; intra-operative MRI surgeries; magnet; mutual information maximization; near real-time scan updates; organ; real data; region of interest; surface point signature; surgical procedure; volume registration; Application software; Computer science; Computer vision; Image processing; Laboratories; Magnetic resonance imaging; Mutual information; Shape; Surgery; Surges;
Conference_Titel :
Image Processing, 2000. Proceedings. 2000 International Conference on
Conference_Location :
Vancouver, BC
Print_ISBN :
0-7803-6297-7
DOI :
10.1109/ICIP.2000.900929