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Automatic Boundary Evolution Tracking via a Combined Level Set Method and Mesh Warping Technique: Application to Hydrocephalus

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Mesh Processing in Medical Image Analysis 2012 (MeshMed 2012)

Part of the book series: Lecture Notes in Computer Science ((LNIP,volume 7599))

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Abstract

Hydrocephalus is a neurological disease which causes ventricular dilation due to abnormalities in the cerebrospinal fluid (CSF) circulation. Although treatment via a CSF shunt in the brain ventricles has been performed, poor rates of patient responses continue. Thus, to aid surgeons in hydrocephalus treatment planning, we propose a geometric computational approach for tracking hydrocephalus ventricular boundary evolution via the level set method and a mesh warping technique. In our previous work [1], we evolved the ventricular boundary in 2D CT images which required a backtracking line search for obtaining valid intermediate meshes. In this paper, we automatically detect the ventricular boundary evolution for 2D CT images. To help surgeons determine where to implant the shunt, we also compute the brain ventricle volume evolution for 3D MR images using our approach.

The work of the first author was funded by NSF CAREER Award OCI-1054459; the work of the second author was funded in part by NSF CAREER Award OCI-1054459 and NSF grant CNS-0720749.

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Authors and Affiliations

  1. The Pennsylvania State University, University Park, PA, 16802, USA

    Jeonghyung Park & Corina S. Drapaca

  2. Mississippi State University, Mississippi State, MS, 39762, USA

    Suzanne M. Shontz

Authors
  1. Jeonghyung Park
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  2. Suzanne M. Shontz
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  3. Corina S. Drapaca
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Editor information

Editors and Affiliations

  1. Visual Computing Division, School of Computing, Clemson University, 100 Mc Adams Hall, 29634, Clemson, South Carolina, USA

    Joshua A. Levine

  2. DTU Informatics, Technical University of Denmark, Richard Petersens Plads, 2800, Kgs. Lyngby, Denmark

    Rasmus R. Paulsen

  3. Department of Mechanical Engineering, Carnegie Mellon University, 303 Scaife Hall, 5000 Forbes Avenue, 15213, Pittsburgh, Pennsylvania, USA

    Yongjie Zhang

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Park, J., Shontz, S.M., Drapaca, C.S. (2012). Automatic Boundary Evolution Tracking via a Combined Level Set Method and Mesh Warping Technique: Application to Hydrocephalus. In: Levine, J.A., Paulsen, R.R., Zhang, Y. (eds) Mesh Processing in Medical Image Analysis 2012. MeshMed 2012. Lecture Notes in Computer Science, vol 7599. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-642-33463-4_13

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  • DOI: https://doi.org/10.1007/978-3-642-33463-4_13

  • Publisher Name: Springer, Berlin, Heidelberg

  • Print ISBN: 978-3-642-33462-7

  • Online ISBN: 978-3-642-33463-4

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