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International Conference on Medical Image Computing and Computer-Assisted Intervention

MICCAI 2012: Medical Image Computing and Computer-Assisted Intervention – MICCAI 2012 pp 146–154Cite as

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Registration of Brainstem Surfaces in Adolescent Idiopathic Scoliosis Using Discrete Ricci Flow

Registration of Brainstem Surfaces in Adolescent Idiopathic Scoliosis Using Discrete Ricci Flow

  • Minqi Zhang19,
  • Fang Li19,
  • Ying He19,
  • Shi Lin20,23,
  • Defeng Wang21,23 &
  • …
  • Lok Ming Lui22 
  • Conference paper
  • 4068 Accesses

Part of the Lecture Notes in Computer Science book series (LNIP,volume 7511)

Abstract

Adolescent Idiopathic Scoliosis (AIS) characterized by the 3D spine deformity affects about 4% schoolchildren worldwide. Several studies have demonstrated the malfunctioning of postural balance, proprioception, and equilibrium control in patients with AIS. Since these functions are closely related to structures in and around the brainstem, the morphometry of the brainstem surface is of utmost importance. In this paper, we propose an effective method to accurately compute the registration between brainstem surfaces. Four consistent features, which describe the global geometry of the brainstem, are automatically extracted to guide the surface registration. Using the discrete Ricci flow method, brainstem surfaces are parameterized conformally onto the quadrilaterally-faced hexahedron, through which the brainstem registration can be obtained. Our registration algorithm can guarantee the exact landmark correspondence between brainstem surfaces. With the obtained registration, a shape energy can be defined to measure the local shape difference between different brainstem surfaces. We have tested our algorithms on 30 real brainstem surfaces extracted from MRIs of 15 normal subjects and 15 AIS patients. Experimental results show the efficacy of the proposed algorithm to register brainstem surfaces, which matches landmark features consistently. The computed registration can be used for the morphometry of brainstems.

Keywords

  • Adolescent Idiopathic Scoliosis
  • Registration Algorithm
  • Postural Balance
  • Adolescent Idiopathic Scoliosis Patient
  • Global Geometry

These keywords were added by machine and not by the authors. This process is experimental and the keywords may be updated as the learning algorithm improves.

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Author information

Authors and Affiliations

  1. School of Computer Engineering, Nanyang Technological University, Singapore

    Minqi Zhang, Fang Li & Ying He

  2. Shenzhen Institutes of Advanced Technology, Chinese Academy of Science, Shenzhen, China

    Shi Lin

  3. CUHK Shenzhen Research Institute, Shenzhen, China

    Defeng Wang

  4. Department of Mathematics, CUHK, Hong Kong

    Lok Ming Lui

  5. Dept. of Imaging and Interventional Radiology, The Chinese University of Hong Kong, Hong Kong

    Shi Lin & Defeng Wang

Authors
  1. Minqi Zhang
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  2. Fang Li
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  3. Ying He
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  4. Shi Lin
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  5. Defeng Wang
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  6. Lok Ming Lui
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Editor information

Editors and Affiliations

  1. Project Team Asclepios, Inria Sophia Antipolis, 06902, Sophia-Antipolis, France

    Nicholas Ayache & Hervé Delingette & 

  2. MIT, CSAIL, 02139, Cambridge, MA, USA

    Polina Golland

  3. Information and Communication Headquarters, Nagoya University, 464-8603, Nagoya, Japan

    Kensaku Mori

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© 2012 Springer-Verlag Berlin Heidelberg

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Cite this paper

Zhang, M., Li, F., He, Y., Lin, S., Wang, D., Lui, L.M. (2012). Registration of Brainstem Surfaces in Adolescent Idiopathic Scoliosis Using Discrete Ricci Flow. In: Ayache, N., Delingette, H., Golland, P., Mori, K. (eds) Medical Image Computing and Computer-Assisted Intervention – MICCAI 2012. MICCAI 2012. Lecture Notes in Computer Science, vol 7511. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-642-33418-4_19

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  • DOI: https://doi.org/10.1007/978-3-642-33418-4_19

  • Publisher Name: Springer, Berlin, Heidelberg

  • Print ISBN: 978-3-642-33417-7

  • Online ISBN: 978-3-642-33418-4

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