Automatic boundary evolution tracking via a combined level set method and mesh warping technique: Application to hydrocephalus

Jeonghyung Park, Suzanne M. Shontz, Corina S. Drapaca

Research output: Chapter in Book/Report/Conference proceedingConference contribution

3 Citations (Scopus)

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.

Original languageEnglish (US)
Title of host publicationMesh Processing in Medical Image Analysis - MICCAI 2012 International Workshop, MeshMed 2012, Proceedings
Pages122-133
Number of pages12
DOIs
StatePublished - Dec 27 2012
EventMICCAI 2012 International Workshop on Mesh Processing in Medical Image Analysis, MeshMed 2012 - Nice, France
Duration: Oct 1 2012Oct 1 2012

Publication series

NameLecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)
Volume7599 LNCS
ISSN (Print)0302-9743
ISSN (Electronic)1611-3349

Other

OtherMICCAI 2012 International Workshop on Mesh Processing in Medical Image Analysis, MeshMed 2012
CountryFrance
CityNice
Period10/1/1210/1/12

Fingerprint

Cerebrospinal fluid
Warping
Level Set Method
Combined Method
Brain
CT Image
Mesh
Fluid
Implant
Backtracking
Line Search
Dilation
Planning
Continue
Valid

All Science Journal Classification (ASJC) codes

  • Theoretical Computer Science
  • Computer Science(all)

Cite this

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 Mesh Processing in Medical Image Analysis - MICCAI 2012 International Workshop, MeshMed 2012, Proceedings (pp. 122-133). (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics); Vol. 7599 LNCS). https://doi.org/10.1007/978-3-642-33463-4_13
Park, Jeonghyung ; Shontz, Suzanne M. ; Drapaca, Corina S. / Automatic boundary evolution tracking via a combined level set method and mesh warping technique : Application to hydrocephalus. Mesh Processing in Medical Image Analysis - MICCAI 2012 International Workshop, MeshMed 2012, Proceedings. 2012. pp. 122-133 (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)).
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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.",
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Park, J, Shontz, SM & Drapaca, CS 2012, Automatic boundary evolution tracking via a combined level set method and mesh warping technique: Application to hydrocephalus. in Mesh Processing in Medical Image Analysis - MICCAI 2012 International Workshop, MeshMed 2012, Proceedings. Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics), vol. 7599 LNCS, pp. 122-133, MICCAI 2012 International Workshop on Mesh Processing in Medical Image Analysis, MeshMed 2012, Nice, France, 10/1/12. https://doi.org/10.1007/978-3-642-33463-4_13

Automatic boundary evolution tracking via a combined level set method and mesh warping technique : Application to hydrocephalus. / Park, Jeonghyung; Shontz, Suzanne M.; Drapaca, Corina S.

Mesh Processing in Medical Image Analysis - MICCAI 2012 International Workshop, MeshMed 2012, Proceedings. 2012. p. 122-133 (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics); Vol. 7599 LNCS).

Research output: Chapter in Book/Report/Conference proceedingConference contribution

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Park J, Shontz SM, Drapaca CS. Automatic boundary evolution tracking via a combined level set method and mesh warping technique: Application to hydrocephalus. In Mesh Processing in Medical Image Analysis - MICCAI 2012 International Workshop, MeshMed 2012, Proceedings. 2012. p. 122-133. (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)). https://doi.org/10.1007/978-3-642-33463-4_13