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Medical Imaging

In: Conformal Geometry

Author

Listed:
  • Miao Jin

    (University of Louisiana, Centre for Advanced Computer Studies)

  • Xianfeng Gu

    (State University of New York)

  • Ying He

    (Nanyang Technological University, School of Computer Science and Engineering)

  • Yalin Wang

    (Arizona State University, School of Computing, Informatics and Decision Systems Engineering)

Abstract

This chapter introduces the applications of computational conformal geometry on medical image analysis research. Specifically, we focus on magnetic resonance imaging (MRI) analysis of brain images where surface-based approaches attract continued interest due to their sub-voxel accuracy and the capability of detecting subtle local changes in brain anatomical shapes. Several research topics, including brain surface conformal parameterization, brain surface registration, global transformation–invariant brain shape descriptors, and point-to-point local brain surface deformation measurements, together with their experimental results, are detailed in this chapter.

Suggested Citation

  • Miao Jin & Xianfeng Gu & Ying He & Yalin Wang, 2018. "Medical Imaging," Springer Books, in: Conformal Geometry, chapter 0, pages 175-251, Springer.
    • Handle: RePEc:spr:sprchp:978-3-319-75332-4_9
    DOI: 10.1007/978-3-319-75332-4_9
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