Tracking cortical surface deformations based on vessel structure using a laser range scanner

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 th...

• Type: Conference
• Year: 2006
• Where: ISBI
• Authors: Aize Cao, Prashanth Dumpuri, Michael I. Miga
• Keywords: 3-D Vessel Contour, Cortical Surface Registration, ISBI 2006, LRS Textured Point, Medical Imaging