title: Genus zero surface conformal mapping and its application to brain surface mapping.
abstract: It is well known that any genus zero surface can be mapped conformally onto the sphere and any local portion thereof onto a disk. However, it is not trivial to find a general method which finds a conformal mapping between two general genus zero surfaces. We propose a new variational method which can find a unique mapping between any two genus zero manifolds by minimizing the harmonic energy of the map. We demonstrate the feasibility of our algorithm by applying it to the cortical surface matching problem. We use a mesh structure to represent the brain surface. Further constraints are added to ensure that the conformal map is unique. Empirical tests on MRI data show that the mappings preserve angular relationships, are stable in MRIs acquired at different times, and are robust to differences in data triangulation, and resolution. Compared with other brain surface conformal mapping algorithms, our algorithm is more stable and has good extensibility.
authors.affiliation: Division of Engineering and Applied Science, Harvard University, USA. gu@eecs.harvard.edu
authors.forename: Xianfeng
authors.initials: X
authors.lastname: Gu
authors.forename: Yalin
authors.initials: Y
authors.lastname: Wang
authors.forename: Tony F
authors.initials: TF
authors.lastname: Chan
authors.forename: Paul M
authors.initials: PM
authors.lastname: Thompson
authors.forename: Shing-Tung
authors.initials: ST
authors.lastname: Yau
mesh_terms: D000465:Algorithms; D001921:Brain / Q000033:anatomy & histology* / Q000502:physiology; D001931:Brain Mapping / Q000379:methods; D003198:Computer Simulation; D006801:Humans; D007089:Image Enhancement / Q000379:methods; D007090:Image Interpretation, Computer-Assisted / Q000379:methods*; D021621:Imaging, Three-Dimensional / Q000379:methods*; D008279:Magnetic Resonance Imaging / Q000379:methods*; D008954:Models, Biological; D010363:Pattern Recognition, Automated; D013382:Subtraction Technique