Delineating 3D angiogenic sprouting in OCT images via multiple active contours

Ting Xu; Fengqiang Li; Duc Huy T. Nguyen; Christopher S. Chen; Chao Zhou; Xiaolei Huang

doi:10.1007/978-3-642-40843-4_25

Delineating 3D angiogenic sprouting in OCT images via multiple active contours

Ting Xu, Fengqiang Li, Duc Huy T. Nguyen, Christopher S. Chen, Chao Zhou, Xiaolei Huang

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

5 Scopus citations

Abstract

Recent advances in Optical Coherence Tomography (OCT) has enabled high resolution imaging of three dimensional artificial vascular networks in vitro. Image segmentation can help quantify the morphological and topological properties of these curvilinear networks to facilitate quantitative study of the angiogenic process. Here we present a novel method to delineate the 3D artificial vascular networks imaged by spectral-domain OCT. Our method employs multiple Stretching Open Active Contours (SOACs) that evolve synergistically to retrieve both the morphology and topology of the underlying vascular networks. Quantification of the network properties can then be conducted based on the segmentation result. We demonstrate the potential of the proposed method by segmenting 3D artificial vasculature in simulated and real OCT images. We provide junction locations and vessel lengths as examples for quantifying angiogenic sprouting of 3D artificial vasculature from OCT images.

Original language	English
Title of host publication	Augmented Reality Environments for Medical Imaging and Computer-Assisted Interventions - 6th Int. Workshop, MIAR 2013 and 8th Int. Workshop, AE-CAI 2013, Held in Conjunction with MICCAI 2013, Proc.
Pages	231-240
Number of pages	10
DOIs	https://doi.org/10.1007/978-3-642-40843-4_25
State	Published - 2013
Event	6th International Workshop on Augmented Reality Environments for Medical Imaging and Computer-Assisted Interventions, MIAR 2013 and 8th International Workshop, AE-CAI 2013, Held in Conjunction with MICCAI 2013 - Nagoya, Japan Duration: Sep 22 2013 → Sep 22 2013

Publication series

Name	Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)
Volume	8090 LNCS
ISSN (Print)	0302-9743
ISSN (Electronic)	1611-3349

Conference

Conference	6th International Workshop on Augmented Reality Environments for Medical Imaging and Computer-Assisted Interventions, MIAR 2013 and 8th International Workshop, AE-CAI 2013, Held in Conjunction with MICCAI 2013
Country/Territory	Japan
City	Nagoya
Period	09/22/13 → 09/22/13

Keywords

Active Contours
Angiogenesis
Curvilinear Network
Optical Coherence Tomography

Access to Document

10.1007/978-3-642-40843-4_25

Cite this

Xu, T., Li, F., Nguyen, D. H. T., Chen, C. S., Zhou, C., & Huang, X. (2013). Delineating 3D angiogenic sprouting in OCT images via multiple active contours. In Augmented Reality Environments for Medical Imaging and Computer-Assisted Interventions - 6th Int. Workshop, MIAR 2013 and 8th Int. Workshop, AE-CAI 2013, Held in Conjunction with MICCAI 2013, Proc. (pp. 231-240). (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics); Vol. 8090 LNCS). https://doi.org/10.1007/978-3-642-40843-4_25

Xu, Ting ; Li, Fengqiang ; Nguyen, Duc Huy T. et al. / Delineating 3D angiogenic sprouting in OCT images via multiple active contours. Augmented Reality Environments for Medical Imaging and Computer-Assisted Interventions - 6th Int. Workshop, MIAR 2013 and 8th Int. Workshop, AE-CAI 2013, Held in Conjunction with MICCAI 2013, Proc.. 2013. pp. 231-240 (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)).

@inproceedings{da03f68710584ebab2a71e4214a2b1fd,

title = "Delineating 3D angiogenic sprouting in OCT images via multiple active contours",

abstract = "Recent advances in Optical Coherence Tomography (OCT) has enabled high resolution imaging of three dimensional artificial vascular networks in vitro. Image segmentation can help quantify the morphological and topological properties of these curvilinear networks to facilitate quantitative study of the angiogenic process. Here we present a novel method to delineate the 3D artificial vascular networks imaged by spectral-domain OCT. Our method employs multiple Stretching Open Active Contours (SOACs) that evolve synergistically to retrieve both the morphology and topology of the underlying vascular networks. Quantification of the network properties can then be conducted based on the segmentation result. We demonstrate the potential of the proposed method by segmenting 3D artificial vasculature in simulated and real OCT images. We provide junction locations and vessel lengths as examples for quantifying angiogenic sprouting of 3D artificial vasculature from OCT images.",

keywords = "Active Contours, Angiogenesis, Curvilinear Network, Optical Coherence Tomography",

author = "Ting Xu and Fengqiang Li and Nguyen, {Duc Huy T.} and Chen, {Christopher S.} and Chao Zhou and Xiaolei Huang",

year = "2013",

doi = "10.1007/978-3-642-40843-4_25",

language = "English",

isbn = "9783642408427",

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

pages = "231--240",

booktitle = "Augmented Reality Environments for Medical Imaging and Computer-Assisted Interventions - 6th Int. Workshop, MIAR 2013 and 8th Int. Workshop, AE-CAI 2013, Held in Conjunction with MICCAI 2013, Proc.",

note = "6th International Workshop on Augmented Reality Environments for Medical Imaging and Computer-Assisted Interventions, MIAR 2013 and 8th International Workshop, AE-CAI 2013, Held in Conjunction with MICCAI 2013 ; Conference date: 22-09-2013 Through 22-09-2013",

}

Xu, T, Li, F, Nguyen, DHT, Chen, CS, Zhou, C & Huang, X 2013, Delineating 3D angiogenic sprouting in OCT images via multiple active contours. in Augmented Reality Environments for Medical Imaging and Computer-Assisted Interventions - 6th Int. Workshop, MIAR 2013 and 8th Int. Workshop, AE-CAI 2013, Held in Conjunction with MICCAI 2013, Proc.. Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics), vol. 8090 LNCS, pp. 231-240, 6th International Workshop on Augmented Reality Environments for Medical Imaging and Computer-Assisted Interventions, MIAR 2013 and 8th International Workshop, AE-CAI 2013, Held in Conjunction with MICCAI 2013, Nagoya, Japan, 09/22/13. https://doi.org/10.1007/978-3-642-40843-4_25

Delineating 3D angiogenic sprouting in OCT images via multiple active contours. / Xu, Ting; Li, Fengqiang; Nguyen, Duc Huy T. et al.
Augmented Reality Environments for Medical Imaging and Computer-Assisted Interventions - 6th Int. Workshop, MIAR 2013 and 8th Int. Workshop, AE-CAI 2013, Held in Conjunction with MICCAI 2013, Proc.. 2013. p. 231-240 (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics); Vol. 8090 LNCS).

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

TY - GEN

T1 - Delineating 3D angiogenic sprouting in OCT images via multiple active contours

AU - Xu, Ting

AU - Li, Fengqiang

AU - Nguyen, Duc Huy T.

AU - Chen, Christopher S.

AU - Zhou, Chao

AU - Huang, Xiaolei

PY - 2013

Y1 - 2013

N2 - Recent advances in Optical Coherence Tomography (OCT) has enabled high resolution imaging of three dimensional artificial vascular networks in vitro. Image segmentation can help quantify the morphological and topological properties of these curvilinear networks to facilitate quantitative study of the angiogenic process. Here we present a novel method to delineate the 3D artificial vascular networks imaged by spectral-domain OCT. Our method employs multiple Stretching Open Active Contours (SOACs) that evolve synergistically to retrieve both the morphology and topology of the underlying vascular networks. Quantification of the network properties can then be conducted based on the segmentation result. We demonstrate the potential of the proposed method by segmenting 3D artificial vasculature in simulated and real OCT images. We provide junction locations and vessel lengths as examples for quantifying angiogenic sprouting of 3D artificial vasculature from OCT images.

AB - Recent advances in Optical Coherence Tomography (OCT) has enabled high resolution imaging of three dimensional artificial vascular networks in vitro. Image segmentation can help quantify the morphological and topological properties of these curvilinear networks to facilitate quantitative study of the angiogenic process. Here we present a novel method to delineate the 3D artificial vascular networks imaged by spectral-domain OCT. Our method employs multiple Stretching Open Active Contours (SOACs) that evolve synergistically to retrieve both the morphology and topology of the underlying vascular networks. Quantification of the network properties can then be conducted based on the segmentation result. We demonstrate the potential of the proposed method by segmenting 3D artificial vasculature in simulated and real OCT images. We provide junction locations and vessel lengths as examples for quantifying angiogenic sprouting of 3D artificial vasculature from OCT images.

KW - Active Contours

KW - Angiogenesis

KW - Curvilinear Network

KW - Optical Coherence Tomography

UR - http://www.scopus.com/inward/record.url?scp=84890933230&partnerID=8YFLogxK

U2 - 10.1007/978-3-642-40843-4_25

DO - 10.1007/978-3-642-40843-4_25

M3 - Conference contribution

AN - SCOPUS:84890933230

SN - 9783642408427

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

SP - 231

EP - 240

BT - Augmented Reality Environments for Medical Imaging and Computer-Assisted Interventions - 6th Int. Workshop, MIAR 2013 and 8th Int. Workshop, AE-CAI 2013, Held in Conjunction with MICCAI 2013, Proc.

T2 - 6th International Workshop on Augmented Reality Environments for Medical Imaging and Computer-Assisted Interventions, MIAR 2013 and 8th International Workshop, AE-CAI 2013, Held in Conjunction with MICCAI 2013

Y2 - 22 September 2013 through 22 September 2013

ER -

Xu T, Li F, Nguyen DHT, Chen CS, Zhou C, Huang X. Delineating 3D angiogenic sprouting in OCT images via multiple active contours. In Augmented Reality Environments for Medical Imaging and Computer-Assisted Interventions - 6th Int. Workshop, MIAR 2013 and 8th Int. Workshop, AE-CAI 2013, Held in Conjunction with MICCAI 2013, Proc.. 2013. p. 231-240. (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)). doi: 10.1007/978-3-642-40843-4_25

Delineating 3D angiogenic sprouting in OCT images via multiple active contours

Abstract

Publication series

Conference

Keywords

Access to Document

Other files and links

Fingerprint

Cite this