DocumentCode :
1816312
Title :
Tracking cortical surface deformations based on vessel structure using a laser range scanner
Author :
Cao, Aize ; Dumpuri, Prashanth ; Miga, Michael I.
Author_Institution :
Dept. of Biomed. Eng., Vanderbilt Univ., Nashville, TN
fYear :
2006
fDate :
6-9 April 2006
Firstpage :
522
Lastpage :
525
Abstract :
This paper reports a vessel structure based non-rigid registration method for cortical surface registration and deformation tracking using a laser-range scanner(LRS). The LRS contains both geometric and texture information of the brain surface, i.e. the unit produces a three-dimensional (3-D) textured point cloud. Unlike our previous registration work, in this paper we investigate using vessel structures on the brain surface in conjunction with a 3-D point-based nonrigid registration method to measure brain deformations from LRS data. Specifically, three separate 3-D vessel contour models were extracted from two LRS textured point clouds (pre- and post-deformed cortical surfaces) and the robust point matching (RPM) by Chui and Rangarajaan was used to align the vessel structures non-rigidly. The measurements of four landmarks were compared to those acquired with an independent optically tracked stylus. Preliminary results improved target registration error from 5.7 mm to 4.1 mm, and the angular error from 32.7deg to 21.2deg. When analyzing each landmark independently across the vessel models, the results indicate that this error may potentially be reduced to less than 2 mm
Keywords :
biomechanics; brain; deformation; image registration; image texture; laser applications in medicine; medical image processing; brain surface; cortical surface deformation tracking; cortical surface registration; laser range scanner; nonrigid image registration; robust point matching; three-dimensional textured point cloud; vessel structure; Biomedical measurements; Brain; Clouds; Data mining; Digital images; Laser surgery; Neurosurgery; Robustness; Surface emitting lasers; Surface texture;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Biomedical Imaging: Nano to Macro, 2006. 3rd IEEE International Symposium on
Conference_Location :
Arlington, VA
Print_ISBN :
0-7803-9576-X
Type :
conf
DOI :
10.1109/ISBI.2006.1624968
Filename :
1624968
Link To Document :
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