Patient-specific cranial nerve identification using a discrete deformable contour model for skull base neurosurgery planning and simulation

Sharmin Sultana, Jason E. Blatt, Yueh Lee, Matthew Ewend, Justin Cetas, Anthony Costa, Michel A. Audette

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

1 Citation (Scopus)

Abstract

In this paper, we present a minimally supervised method for the identification of the intra-cranial portion of cranial nerves, using a novel, discrete 1-Simplex 3D active contour model. The clinical applications include planning and personalized simulation of skull base neurosurgery. The centerline of a cranial nerve is initialized from two user-supplied end points by computing a Minimal Path. The 1-Simplex is a Newtonian model for vertex motion, where every non-endpoint vertex has 2-connectivity with neighboring vertices, with which it is linked by edges. The segmentation behavior of the model is governed by the equilibrium between internal and external forces. The external forces include an image force that favors a centered path within high-vesselness points. The method is validated quantitatively using synthetic and real MRI datasets.

Original languageEnglish (US)
Title of host publicationLecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)
PublisherSpringer Verlag
Pages36-44
Number of pages9
Volume9401
ISBN (Print)9783319318073
DOIs
StatePublished - 2016
Event4th International Workshop on Clinical Image-Based Procedures, CLIP 2015 and Held in 18th International Conference on Medical Image Computing and Computer-Assisted Interventions, MICCAI MICCAI 2015 - Munich, Germany
Duration: Oct 5 2015Oct 5 2015

Publication series

NameLecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)
Volume9401
ISSN (Print)03029743
ISSN (Electronic)16113349

Other

Other4th International Workshop on Clinical Image-Based Procedures, CLIP 2015 and Held in 18th International Conference on Medical Image Computing and Computer-Assisted Interventions, MICCAI MICCAI 2015
CountryGermany
CityMunich
Period10/5/1510/5/15

Fingerprint

Neurosurgery
Nerve
Identification (control systems)
Planning
Minimal Path
Active Contour Model
Simulation
End point
Vertex of a graph
3D Model
Magnetic resonance imaging
Connectivity
Segmentation
Model
Internal
Path
Motion
Computing

Keywords

  • Centerline
  • Cranial nerves
  • Minimal path
  • Neurosurgery planning, personalized neurosurgery simulation
  • Simplex
  • Vesselness

ASJC Scopus subject areas

  • Computer Science(all)
  • Theoretical Computer Science

Cite this

Sultana, S., Blatt, J. E., Lee, Y., Ewend, M., Cetas, J., Costa, A., & Audette, M. A. (2016). Patient-specific cranial nerve identification using a discrete deformable contour model for skull base neurosurgery planning and simulation. In Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics) (Vol. 9401, pp. 36-44). (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics); Vol. 9401). Springer Verlag. https://doi.org/10.1007/978-3-319-31808-0_5

Patient-specific cranial nerve identification using a discrete deformable contour model for skull base neurosurgery planning and simulation. / Sultana, Sharmin; Blatt, Jason E.; Lee, Yueh; Ewend, Matthew; Cetas, Justin; Costa, Anthony; Audette, Michel A.

Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics). Vol. 9401 Springer Verlag, 2016. p. 36-44 (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics); Vol. 9401).

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

Sultana, S, Blatt, JE, Lee, Y, Ewend, M, Cetas, J, Costa, A & Audette, MA 2016, Patient-specific cranial nerve identification using a discrete deformable contour model for skull base neurosurgery planning and simulation. in Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics). vol. 9401, Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics), vol. 9401, Springer Verlag, pp. 36-44, 4th International Workshop on Clinical Image-Based Procedures, CLIP 2015 and Held in 18th International Conference on Medical Image Computing and Computer-Assisted Interventions, MICCAI MICCAI 2015, Munich, Germany, 10/5/15. https://doi.org/10.1007/978-3-319-31808-0_5
Sultana S, Blatt JE, Lee Y, Ewend M, Cetas J, Costa A et al. Patient-specific cranial nerve identification using a discrete deformable contour model for skull base neurosurgery planning and simulation. In Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics). Vol. 9401. Springer Verlag. 2016. p. 36-44. (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)). https://doi.org/10.1007/978-3-319-31808-0_5
Sultana, Sharmin ; Blatt, Jason E. ; Lee, Yueh ; Ewend, Matthew ; Cetas, Justin ; Costa, Anthony ; Audette, Michel A. / Patient-specific cranial nerve identification using a discrete deformable contour model for skull base neurosurgery planning and simulation. Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics). Vol. 9401 Springer Verlag, 2016. pp. 36-44 (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)).
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