title: A coarse-to-fine surface registration algorithm for frameless brain surgery.
abstract: In this paper, we present a coarse-to-fine approach for surface registration used in frameless brain surgery. The reference point data are extracted from patient's pre-stored CT images; the floating point data are captured from the patient's head by using an electromagnetic tracker. The registration algorithm takes the information of global coarse markers (or feature points) and local fine point cloud into account to avoid the local optimum problem of the iterative closest point (ICP) algorithm. Experimental results show that the registration accuracy of using the proposed registration algorithm is improved than of using other ICP-related algorithms. More specifically, it shows that the target registration error (TRE) is decreased by 50% by using the proposed method.
authors.affiliation: Department of Electrical Engineering, Chang-Gung University, Tao-Yuan, Taiwan 333, R.O.C. jdlee@mail.cgu.edu.tw
authors.forename: Jiann-Der
authors.initials: JD
authors.lastname: Lee
authors.forename: Tzu-Yen
authors.initials: TY
authors.lastname: Lan
authors.forename: Chung-Hsien
authors.initials: CH
authors.lastname: Huang
authors.forename: Chien-Tsai
authors.initials: CT
authors.lastname: Wu
authors.forename: Shin-Tseng
authors.initials: ST
authors.lastname: Lee
mesh_terms: D000465:Algorithms; D001921:Brain / Q000000981:diagnostic imaging / Q000601:surgery*; D055590:Electromagnetic Phenomena; D006801:Humans; D013238:Stereotaxic Techniques; D014057:Tomography, X-Ray Computed