Shape Modeling and Alignment: Applications to Biomedical Informatics Heng Huang Computer Science Department Dartmouth College ABSTRACT Shape modeling and surface representation combine physical measurement of objects with mathematical models and are important in a large number of scientific and engineering areas. Biomedical informatics is one of the most important applications. In this talk, I will present two recent results on shape modeling and registration with several applications in biomedical informatics. In the first work, I show a novel surface registration algorithm for arbitrarily shaped but simply connected (i.e., contiguous) 3D objects. Based on the rotational properties of harmonic analysis, a new Parameterization Rotation Theorem is introduced and proved and a fast surface alignment algorithm is developed. This algorithm can accurately and efficiently generate surface correspondences between objects for which spherical harmonics (SPHARM) was used for surface modeling. Its computational complexity is improved from the O(n3) of previous methods to O(n2). These techniques have been applied in many biomedical applications, including improving morphological understanding of anatomic structures, dynamic analysis (e.g. of beating hearts), and assisting in medical tasks like pacemaker placement. In the second work, I present a new hemisphere-based harmonic surface model. We define a set of complete hemispherical harmonic basis functions on a hemisphere domain and use these to support a novel parametric shape description method. This method is very useful in efficiently and flexibly representing the surfaces of certain anatomical structures (like the heart ventricles) in biomedical applications. Brief Bio: Heng Huang received a BS (1997) and MS (2001) from Electronics and Information School at Shanghai Jiao Tong University. He is currently a Ph.D. candidate in the Department of Computer Science at Dartmouth College, where he works in medical informatics and bioinformatics.