Segmentation of nerve bundles and ganglia in spine MRI using particle filters

Adrian Dalca; Giovanna Danagoulian; Ron Kikinis; Ehud Schmidt; Polina Golland

doi:10.1007/978-3-642-23626-6_66

Segmentation of nerve bundles and ganglia in spine MRI using particle filters

Adrian Dalca, Giovanna Danagoulian, Ron Kikinis, Ehud Schmidt, Polina Golland

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution

7 Scopus citations

Abstract

Automatic segmentation of spinal nerve bundles that originate within the dural sac and exit the spinal canal is important for diagnosis and surgical planning. The variability in intensity, contrast, shape and direction of nerves seen in high resolution myelographic MR images makes segmentation a challenging task. In this paper, we present an automatic tracking method for nerve segmentation based on particle filters. We develop a novel approach to particle representation and dynamics, based on Bézier splines. Moreover, we introduce a robust image likelihood model that enables delineation of nerve bundles and ganglia from the surrounding anatomical structures. We demonstrate accurate and fast nerve tracking and compare it to expert manual segmentation.

Original language	English (US)
Title of host publication	Medical Image Computing and Computer-Assisted Intervention, MICCAI 2011 - 14th International Conference, Proceedings
Pages	537-545
Number of pages	9
Edition	PART 3
DOIs	https://doi.org/10.1007/978-3-642-23626-6_66
State	Published - 2011
Externally published	Yes
Event	14th International Conference on Medical Image Computing and Computer Assisted Intervention, MICCAI 2011 - Toronto, ON, Canada Duration: Sep 18 2011 → Sep 22 2011

Publication series

Name	Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)
Number	PART 3
Volume	6893 LNCS
ISSN (Print)	0302-9743
ISSN (Electronic)	1611-3349

Other

Other	14th International Conference on Medical Image Computing and Computer Assisted Intervention, MICCAI 2011
Country/Territory	Canada
City	Toronto, ON
Period	9/18/11 → 9/22/11

Keywords

nerve bundles
particle filter
segmentation
tracking

ASJC Scopus subject areas

Theoretical Computer Science
General Computer Science

Access to Document

10.1007/978-3-642-23626-6_66

Cite this

Dalca, A., Danagoulian, G., Kikinis, R., Schmidt, E., & Golland, P. (2011). Segmentation of nerve bundles and ganglia in spine MRI using particle filters. In Medical Image Computing and Computer-Assisted Intervention, MICCAI 2011 - 14th International Conference, Proceedings (PART 3 ed., pp. 537-545). (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics); Vol. 6893 LNCS, No. PART 3). https://doi.org/10.1007/978-3-642-23626-6_66

Segmentation of nerve bundles and ganglia in spine MRI using particle filters. / Dalca, Adrian; Danagoulian, Giovanna; Kikinis, Ron et al.
Medical Image Computing and Computer-Assisted Intervention, MICCAI 2011 - 14th International Conference, Proceedings. PART 3. ed. 2011. p. 537-545 (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics); Vol. 6893 LNCS, No. PART 3).

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution

Dalca, A, Danagoulian, G, Kikinis, R, Schmidt, E & Golland, P 2011, Segmentation of nerve bundles and ganglia in spine MRI using particle filters. in Medical Image Computing and Computer-Assisted Intervention, MICCAI 2011 - 14th International Conference, Proceedings. PART 3 edn, Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics), no. PART 3, vol. 6893 LNCS, pp. 537-545, 14th International Conference on Medical Image Computing and Computer Assisted Intervention, MICCAI 2011, Toronto, ON, Canada, 9/18/11. https://doi.org/10.1007/978-3-642-23626-6_66

Dalca A, Danagoulian G, Kikinis R, Schmidt E, Golland P. Segmentation of nerve bundles and ganglia in spine MRI using particle filters. In Medical Image Computing and Computer-Assisted Intervention, MICCAI 2011 - 14th International Conference, Proceedings. PART 3 ed. 2011. p. 537-545. (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics); PART 3). doi: 10.1007/978-3-642-23626-6_66

Dalca, Adrian ; Danagoulian, Giovanna ; Kikinis, Ron et al. / Segmentation of nerve bundles and ganglia in spine MRI using particle filters. Medical Image Computing and Computer-Assisted Intervention, MICCAI 2011 - 14th International Conference, Proceedings. PART 3. ed. 2011. pp. 537-545 (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics); PART 3).

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abstract = "Automatic segmentation of spinal nerve bundles that originate within the dural sac and exit the spinal canal is important for diagnosis and surgical planning. The variability in intensity, contrast, shape and direction of nerves seen in high resolution myelographic MR images makes segmentation a challenging task. In this paper, we present an automatic tracking method for nerve segmentation based on particle filters. We develop a novel approach to particle representation and dynamics, based on B{\'e}zier splines. Moreover, we introduce a robust image likelihood model that enables delineation of nerve bundles and ganglia from the surrounding anatomical structures. We demonstrate accurate and fast nerve tracking and compare it to expert manual segmentation.",

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Segmentation of nerve bundles and ganglia in spine MRI using particle filters

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