Joint thrombus and vessel segmentation using dynamic texture likelihoods and shape prior

Nicolas Brieu; Martin Groher; Jovana Serbanovic-Canic; Ana Cvejic; Willem Ouwehand; Nassir Navab

doi:10.1007/978-3-642-23626-6_71

Joint thrombus and vessel segmentation using dynamic texture likelihoods and shape prior

Nicolas Brieu
, Martin Groher
, Jovana Serbanovic-Canic
, Ana Cvejic
, Willem Ouwehand
, Nassir Navab

Informatics 16 - Chair of Computer Aided Medical Procedures

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

2 Scopus citations

Abstract

The segmentation of thrombus and vessel in microscopic image sequences is of high interest for identifying genes linked to cardiovascular diseases. This task is however challenging because of the low contrast and the highly dynamic conditions observed in time-lapse DIC in-vivo microscopic scenes. In this work, we introduce a probabilistic framework for the joint segmentation of thrombus and vessel regions. Modeling the scene with dynamic textures, we derive two likelihood functions to account for both spatial and temporal discrepancies of the motion patterns. A tubular shape prior is moreover introduced to constrain the aortic region. Extensive experiments on microscopic sequences quantitatively show the good performance of our approach.

Original language	English
Title of host publication	Medical Image Computing and Computer-Assisted Intervention, MICCAI 2011 - 14th International Conference, Proceedings
Pages	579-586
Number of pages	8
Edition	PART 3
DOIs	https://doi.org/10.1007/978-3-642-23626-6_71
State	Published - 2011
Event	14th International Conference on Medical Image Computing and Computer Assisted Intervention, MICCAI 2011 - Toronto, ON, Canada Duration: 18 Sep 2011 → 22 Sep 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

Conference

Conference	14th International Conference on Medical Image Computing and Computer Assisted Intervention, MICCAI 2011
Country/Territory	Canada
City	Toronto, ON
Period	18/09/11 → 22/09/11

UN SDGs

This output contributes to the following UN Sustainable Development Goals (SDGs)

SDG 3 Good Health and Well-being

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10.1007/978-3-642-23626-6_71

Cite this

Brieu, N., Groher, M., Serbanovic-Canic, J., Cvejic, A., Ouwehand, W., & Navab, N. (2011). Joint thrombus and vessel segmentation using dynamic texture likelihoods and shape prior. In Medical Image Computing and Computer-Assisted Intervention, MICCAI 2011 - 14th International Conference, Proceedings (PART 3 ed., pp. 579-586). (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_71

Brieu, Nicolas ; Groher, Martin ; Serbanovic-Canic, Jovana et al. / Joint thrombus and vessel segmentation using dynamic texture likelihoods and shape prior. Medical Image Computing and Computer-Assisted Intervention, MICCAI 2011 - 14th International Conference, Proceedings. PART 3. ed. 2011. pp. 579-586 (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics); PART 3).

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title = "Joint thrombus and vessel segmentation using dynamic texture likelihoods and shape prior",

abstract = "The segmentation of thrombus and vessel in microscopic image sequences is of high interest for identifying genes linked to cardiovascular diseases. This task is however challenging because of the low contrast and the highly dynamic conditions observed in time-lapse DIC in-vivo microscopic scenes. In this work, we introduce a probabilistic framework for the joint segmentation of thrombus and vessel regions. Modeling the scene with dynamic textures, we derive two likelihood functions to account for both spatial and temporal discrepancies of the motion patterns. A tubular shape prior is moreover introduced to constrain the aortic region. Extensive experiments on microscopic sequences quantitatively show the good performance of our approach.",

author = "Nicolas Brieu and Martin Groher and Jovana Serbanovic-Canic and Ana Cvejic and Willem Ouwehand and Nassir Navab",

year = "2011",

doi = "10.1007/978-3-642-23626-6\_71",

language = "English",

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series = "Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)",

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booktitle = "Medical Image Computing and Computer-Assisted Intervention, MICCAI 2011 - 14th International Conference, Proceedings",

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note = "14th International Conference on Medical Image Computing and Computer Assisted Intervention, MICCAI 2011 ; Conference date: 18-09-2011 Through 22-09-2011",

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Brieu, N, Groher, M, Serbanovic-Canic, J, Cvejic, A, Ouwehand, W & Navab, N 2011, Joint thrombus and vessel segmentation using dynamic texture likelihoods and shape prior. 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. 579-586, 14th International Conference on Medical Image Computing and Computer Assisted Intervention, MICCAI 2011, Toronto, ON, Canada, 18/09/11. https://doi.org/10.1007/978-3-642-23626-6_71

Joint thrombus and vessel segmentation using dynamic texture likelihoods and shape prior. / Brieu, Nicolas; Groher, Martin; Serbanovic-Canic, Jovana et al.
Medical Image Computing and Computer-Assisted Intervention, MICCAI 2011 - 14th International Conference, Proceedings. PART 3. ed. 2011. p. 579-586 (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 › peer-review

TY - GEN

T1 - Joint thrombus and vessel segmentation using dynamic texture likelihoods and shape prior

AU - Brieu, Nicolas

AU - Groher, Martin

AU - Serbanovic-Canic, Jovana

AU - Cvejic, Ana

AU - Ouwehand, Willem

AU - Navab, Nassir

PY - 2011

Y1 - 2011

N2 - The segmentation of thrombus and vessel in microscopic image sequences is of high interest for identifying genes linked to cardiovascular diseases. This task is however challenging because of the low contrast and the highly dynamic conditions observed in time-lapse DIC in-vivo microscopic scenes. In this work, we introduce a probabilistic framework for the joint segmentation of thrombus and vessel regions. Modeling the scene with dynamic textures, we derive two likelihood functions to account for both spatial and temporal discrepancies of the motion patterns. A tubular shape prior is moreover introduced to constrain the aortic region. Extensive experiments on microscopic sequences quantitatively show the good performance of our approach.

AB - The segmentation of thrombus and vessel in microscopic image sequences is of high interest for identifying genes linked to cardiovascular diseases. This task is however challenging because of the low contrast and the highly dynamic conditions observed in time-lapse DIC in-vivo microscopic scenes. In this work, we introduce a probabilistic framework for the joint segmentation of thrombus and vessel regions. Modeling the scene with dynamic textures, we derive two likelihood functions to account for both spatial and temporal discrepancies of the motion patterns. A tubular shape prior is moreover introduced to constrain the aortic region. Extensive experiments on microscopic sequences quantitatively show the good performance of our approach.

UR - https://www.scopus.com/pages/publications/82255164506

U2 - 10.1007/978-3-642-23626-6_71

DO - 10.1007/978-3-642-23626-6_71

M3 - Conference contribution

C2 - 22003746

AN - SCOPUS:82255164506

SN - 9783642236259

T3 - Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)

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BT - Medical Image Computing and Computer-Assisted Intervention, MICCAI 2011 - 14th International Conference, Proceedings

T2 - 14th International Conference on Medical Image Computing and Computer Assisted Intervention, MICCAI 2011

Y2 - 18 September 2011 through 22 September 2011

ER -

Brieu N, Groher M, Serbanovic-Canic J, Cvejic A, Ouwehand W, Navab N. Joint thrombus and vessel segmentation using dynamic texture likelihoods and shape prior. In Medical Image Computing and Computer-Assisted Intervention, MICCAI 2011 - 14th International Conference, Proceedings. PART 3 ed. 2011. p. 579-586. (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_71

Joint thrombus and vessel segmentation using dynamic texture likelihoods and shape prior

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