Landmark constrained genus-one surface Teichmüller map applied to surface registration in medical imaging

We address the registration problem of genus-one surfaces (such as vertebrae bones) with prescribed landmark constraints. The high-genus topology of the surfaces makes it challenging to obtain a unique and bijective surface mapping that matches landmarks consistently. This work proposes to tackle this registration problem using a special class of quasi-conformal maps called Teichmüller maps (T-Maps). A landmark constrained T-Map is the unique mapping between genus-1 surfaces that minimizes the maximal conformality distortion while matching the prescribed feature landmarks. Existence and uniqueness of the landmark constrained T-Map are theoretically guaranteed. This work presents an iterative algorithm to compute the T-Map. The main idea is to represent the set of diffeomorphism using the Beltrami coefficients (BC). The BC is iteratively adjusted to an optimal one, which corresponds to our desired T-Map that matches the prescribed landmarks and satisfies the periodic boundary condition on the universal covering space. Numerical experiments demonstrate the effectiveness of our proposed algorithm. The method has also been applied to register vertebrae bones with prescribed landmark points and curves, which gives accurate surface registrations.

[1]  M. Miller,et al.  Landmark Matching via Large Deformation Diffeomorphisms on the Sphere , 2004 .

[2]  Lok Ming Lui,et al.  Optimization of Surface Registrations Using Beltrami Holomorphic Flow , 2010, J. Sci. Comput..

[3]  Paul J. Besl,et al.  Method for registration of 3-D shapes , 1992, Other Conferences.

[4]  Lok Ming Lui,et al.  Genus-One Surface Registration via Teichmüller Extremal Mapping , 2014, MICCAI.

[5]  Moo K. Chung,et al.  Tensor-Based Cortical Surface Morphometry via Weighted Spherical Harmonic Representation , 2008, IEEE Transactions on Medical Imaging.

[6]  Lok Ming Lui,et al.  Landmark- and Intensity-Based Registration with Large Deformations via Quasi-conformal Maps , 2013, SIAM J. Imaging Sci..

[7]  Jerry L. Prince,et al.  Mapping Techniques for Aligning Sulci across Multiple Brains , 2003, MICCAI.

[8]  Michael I. Miller,et al.  Diffeomorphic metric surface mapping in subregion of the superior temporal gyrus , 2007, NeuroImage.

[9]  Sami Romdhani,et al.  Optimal Step Nonrigid ICP Algorithms for Surface Registration , 2007, 2007 IEEE Conference on Computer Vision and Pattern Recognition.

[10]  Paul M. Thompson,et al.  Multivariate Tensor-based Morphometry on Surfaces: Application to Mapping Ventricular Abnormalities in Hiv/aids Mapping Methods Have Revealed the 3d Profile of Structural Brain , 2022 .

[11]  Lok Ming Lui,et al.  Teichmuller Mapping (T-Map) and Its Applications to Landmark Matching Registration , 2014, SIAM J. Imaging Sci..

[12]  Lok Ming Lui,et al.  A Conformal Approach for Surface Inpainting , 2012, ArXiv.

[13]  Lok Ming Lui,et al.  Shape-Based Diffeomorphic Registration on Hippocampal Surfaces Using Beltrami Holomorphic Flow , 2010, MICCAI.

[14]  Alan C. Evans,et al.  GROWTH PATTERNS IN THE DEVELOPING HUMAN BRAIN DETECTED USING CONTINUUM-MECHANICAL TENSOR MAPPING , 1999 .

[15]  Chengfeng Wen,et al.  Geometric Registration of High-Genus Surfaces , 2013, SIAM J. Imaging Sci..

[16]  T. Chan,et al.  Genus zero surface conformal mapping and its application to brain surface mapping. , 2004, IEEE transactions on medical imaging.

[17]  Alan C. Evans,et al.  A Unified Statistical Approach to Deformation-Based Morphometry , 2001, NeuroImage.

[18]  Nicholas Ayache,et al.  Spherical Demons: Fast Diffeomorphic Landmark-Free Surface Registration , 2010, IEEE Transactions on Medical Imaging.

[19]  Alan C. Evans,et al.  Growth patterns in the developing brain detected by using continuum mechanical tensor maps , 2000, Nature.

[20]  Moo K. Chung,et al.  Deformation-based surface morphometry applied to gray matter deformation , 2003, NeuroImage.

[21]  A. Dale,et al.  High‐resolution intersubject averaging and a coordinate system for the cortical surface , 1999, Human brain mapping.

[22]  Gary E. Christensen,et al.  Consistent landmark and intensity-based image registration , 2002, IEEE Transactions on Medical Imaging.

[23]  Sotirios A. Tsaftaris,et al.  Medical Image Computing and Computer Assisted Intervention , 2017 .

[24]  Lok Ming Lui,et al.  Intrinsic Feature Extraction on Hippocampal Surfaces and Its Applications , 2012, SIAM J. Imaging Sci..

[25]  D. V. van Essen,et al.  Computerized Mappings of the Cerebral Cortex: A Multiresolution Flattening Method and a Surface-Based Coordinate System , 1996, Journal of Cognitive Neuroscience.

[26]  A. Dale,et al.  Cortical Surface-Based Analysis II: Inflation, Flattening, and a Surface-Based Coordinate System , 1999, NeuroImage.

[27]  Guillermo Sapiro,et al.  Conformal Surface Parameterization for Texture Mapping , 1999 .

[28]  Kurt Strebel,et al.  On quasiconformal mappings of open Riemann surfaces , 1978 .

[29]  Lok Ming Lui,et al.  Optimized Conformal Surface Registration with Shape-based Landmark Matching , 2010, SIAM J. Imaging Sci..

[30]  F. P. Gardiner,et al.  Quasiconformal Teichmuller Theory , 1999 .

[31]  D. V. van Essen,et al.  Symmetry of Cortical Folding Abnormalities in Williams Syndrome Revealed by Surface-Based Analyses , 2006, The Journal of Neuroscience.

[32]  Baba C. Vemuri,et al.  Simultaneous Registration and Parcellation of Bilateral Hippocampal Surface Pairs for Local Asymmetry Quantification , 2007, IEEE Transactions on Medical Imaging.

[33]  D'arcy W. Thompson On growth and form i , 1943 .

[34]  Lok Ming Lui,et al.  Convergence of an iterative algorithm for Teichmüller maps via harmonic energy optimization , 2015, Math. Comput..

[35]  Kiralee M. Hayashi,et al.  Abnormal Cortical Complexity and Thickness Profiles Mapped in Williams Syndrome , 2005, The Journal of Neuroscience.

[36]  Sang Wook Lee,et al.  ICP Registration Using Invariant Features , 2002, IEEE Trans. Pattern Anal. Mach. Intell..

[37]  Lok Ming Lui,et al.  Optimization of Brain Conformal Mapping with Landmarks , 2005, MICCAI.

[38]  Lok Ming Lui,et al.  Conformal-Based Surface Morphing and Multi-Scale Representation , 2014, Axioms.

[39]  Michael I. Miller,et al.  Landmark matching via large deformation diffeomorphisms , 2000, IEEE Trans. Image Process..

[40]  Lok Ming Lui,et al.  Landmark constrained genus zero surface conformal mapping and its application to brain mapping research , 2007 .

[41]  Xianfeng Gu,et al.  Discrete Surface Ricci Flow , 2008, IEEE Transactions on Visualization and Computer Graphics.

[42]  Lok Ming Lui,et al.  Automatic registration of vestibular systems with exact landmark correspondence , 2014, Graph. Model..

[43]  Fred L. Bookstein,et al.  Principal Warps: Thin-Plate Splines and the Decomposition of Deformations , 1989, IEEE Trans. Pattern Anal. Mach. Intell..

[44]  Paul M. Thompson,et al.  Shape analysis with multivariate tensor-based morphometry and holomorphic differentials , 2009, 2009 IEEE 12th International Conference on Computer Vision.

[45]  Monica K. Hurdal,et al.  Discrete conformal methods for cortical brain flattening , 2009, NeuroImage.