Segmentation of 3D transesophageal echocardiograms by multi-cavity active shape model and gamma mixture model

A. Haak; G. Vegas-Sanchez-Ferrero; H.H. Mulder; H.A. Kirisli; N. Baka; C. Metz; S. Klein; B. Ren; Gerard van Burken; A.F.W. Steen, van der; J.P.W. Pluim; T. Walsum, van; Johannes G. Bosch

doi:10.1007/978-3-642-40843-4_3

Segmentation of 3D transesophageal echocardiograms by multi-cavity active shape model and gamma mixture model

A. Haak, G. Vegas-Sanchez-Ferrero, H.H. Mulder, H.A. Kirisli, N. Baka, C. Metz, S. Klein, B. Ren, Gerard van Burken, A.F.W. Steen, van der, J.P.W. Pluim, T. Walsum, van, Johannes G. Bosch

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

3 Citations (Scopus)

Abstract

Segmentation of three-dimensional (3D) transesophageal ultrasound (TEE) is highly desired for intervention monitoring and guidance, but it is still a challenging image processing task due to complex local anatomy, limited field of view and typical ultrasound artifacts. We propose to use a multi-cavity active shape model (ASM) derived from Computed Tomography Angiography (CTA) segmentations in conjunction with a blood/tissue classification by Gamma Mixture Models to identify and segment the individual cavities simultaneously. A scheme that utilized successively ASMs of the whole heart and the individual cavities was used to segment the entire heart. We successfully validated our segmentation scheme with manually outlined contours and with CTA segmentations for three patients. The segmentations of the three patients had an average distance of 2.3, 4.9, and 2.1 mm to the manual outlines. © 2013 Springer-Verlag.

Original language	English
Title of host publication	Augmented Reality Environments for Medical Imaging and Computer-Assisted Interventions: 6th International Workshop (MIAR 2013)
Editors	H. Liao, C.A. Linte, K. Masamune, T.M. Peters, G. Zheng
Place of Publication	Berlin Heidelberg
Publisher	Springer
Pages	19-26
ISBN (Print)	978-3-642-40843-4
DOIs	https://doi.org/10.1007/978-3-642-40843-4_3
Publication status	Published - 2013
Externally published	Yes
Event	6th International Workshop on Medical Imaging and Augmented Reality (MIAR 2013)/ 8th International Workshop on Augmented Environments for Computer-Assisted Interventions (AE-CAI 2013) - Nagoya, Japan Duration: 22 Sept 2013 → 22 Sept 2013

Publication series

Name	Lecture Notes in Computer Science
Volume	8090
ISSN (Print)	0302-9743

Workshop

Workshop	6th International Workshop on Medical Imaging and Augmented Reality (MIAR 2013)/ 8th International Workshop on Augmented Environments for Computer-Assisted Interventions (AE-CAI 2013)
Abbreviated title	MIAR/AE-CAI 2013
Country/Territory	Japan
City	Nagoya
Period	22/09/13 → 22/09/13

Access to Document

10.1007/978-3-642-40843-4_3

Cite this

Haak, A., Vegas-Sanchez-Ferrero, G., Mulder, H. H., Kirisli, H. A., Baka, N., Metz, C., Klein, S., Ren, B., van Burken, G., Steen, van der, A. F. W., Pluim, J. P. W., Walsum, van, T., & Bosch, J. G. (2013). Segmentation of 3D transesophageal echocardiograms by multi-cavity active shape model and gamma mixture model. In H. Liao, C. A. Linte, K. Masamune, T. M. Peters, & G. Zheng (Eds.), Augmented Reality Environments for Medical Imaging and Computer-Assisted Interventions: 6th International Workshop (MIAR 2013) (pp. 19-26). (Lecture Notes in Computer Science; Vol. 8090). Springer. https://doi.org/10.1007/978-3-642-40843-4_3

Haak, A. ; Vegas-Sanchez-Ferrero, G. ; Mulder, H.H. et al. / Segmentation of 3D transesophageal echocardiograms by multi-cavity active shape model and gamma mixture model. Augmented Reality Environments for Medical Imaging and Computer-Assisted Interventions: 6th International Workshop (MIAR 2013). editor / H. Liao ; C.A. Linte ; K. Masamune ; T.M. Peters ; G. Zheng. Berlin Heidelberg : Springer, 2013. pp. 19-26 (Lecture Notes in Computer Science).

@inproceedings{c8d9bbd99b9b460aba25c29e9f7c7a61,

title = "Segmentation of 3D transesophageal echocardiograms by multi-cavity active shape model and gamma mixture model",

abstract = "Segmentation of three-dimensional (3D) transesophageal ultrasound (TEE) is highly desired for intervention monitoring and guidance, but it is still a challenging image processing task due to complex local anatomy, limited field of view and typical ultrasound artifacts. We propose to use a multi-cavity active shape model (ASM) derived from Computed Tomography Angiography (CTA) segmentations in conjunction with a blood/tissue classification by Gamma Mixture Models to identify and segment the individual cavities simultaneously. A scheme that utilized successively ASMs of the whole heart and the individual cavities was used to segment the entire heart. We successfully validated our segmentation scheme with manually outlined contours and with CTA segmentations for three patients. The segmentations of the three patients had an average distance of 2.3, 4.9, and 2.1 mm to the manual outlines. {\textcopyright} 2013 Springer-Verlag.",

author = "A. Haak and G. Vegas-Sanchez-Ferrero and H.H. Mulder and H.A. Kirisli and N. Baka and C. Metz and S. Klein and B. Ren and {van Burken}, Gerard and {Steen, van der}, A.F.W. and J.P.W. Pluim and {Walsum, van}, T. and Bosch, {Johannes G.}",

year = "2013",

doi = "10.1007/978-3-642-40843-4_3",

language = "English",

isbn = "978-3-642-40843-4",

series = "Lecture Notes in Computer Science",

publisher = "Springer",

pages = "19--26",

editor = "H. Liao and C.A. Linte and K. Masamune and T.M. Peters and G. Zheng",

booktitle = "Augmented Reality Environments for Medical Imaging and Computer-Assisted Interventions: 6th International Workshop (MIAR 2013)",

address = "Germany",

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

}

Haak, A, Vegas-Sanchez-Ferrero, G, Mulder, HH, Kirisli, HA, Baka, N, Metz, C, Klein, S, Ren, B, van Burken, G, Steen, van der, AFW, Pluim, JPW, Walsum, van, T & Bosch, JG 2013, Segmentation of 3D transesophageal echocardiograms by multi-cavity active shape model and gamma mixture model. in H Liao, CA Linte, K Masamune, TM Peters & G Zheng (eds), Augmented Reality Environments for Medical Imaging and Computer-Assisted Interventions: 6th International Workshop (MIAR 2013). Lecture Notes in Computer Science, vol. 8090, Springer, Berlin Heidelberg, pp. 19-26, 6th International Workshop on Medical Imaging and Augmented Reality (MIAR 2013)/ 8th International Workshop on Augmented Environments for Computer-Assisted Interventions (AE-CAI 2013), Nagoya, Japan, 22/09/13. https://doi.org/10.1007/978-3-642-40843-4_3

Segmentation of 3D transesophageal echocardiograms by multi-cavity active shape model and gamma mixture model. / Haak, A.; Vegas-Sanchez-Ferrero, G.; Mulder, H.H. et al.
Augmented Reality Environments for Medical Imaging and Computer-Assisted Interventions: 6th International Workshop (MIAR 2013). ed. / H. Liao; C.A. Linte; K. Masamune; T.M. Peters; G. Zheng. Berlin Heidelberg: Springer, 2013. p. 19-26 (Lecture Notes in Computer Science; Vol. 8090).

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

TY - GEN

T1 - Segmentation of 3D transesophageal echocardiograms by multi-cavity active shape model and gamma mixture model

AU - Haak, A.

AU - Vegas-Sanchez-Ferrero, G.

AU - Mulder, H.H.

AU - Kirisli, H.A.

AU - Baka, N.

AU - Metz, C.

AU - Klein, S.

AU - Ren, B.

AU - van Burken, Gerard

AU - Steen, van der, A.F.W.

AU - Pluim, J.P.W.

AU - Walsum, van, T.

AU - Bosch, Johannes G.

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N2 - Segmentation of three-dimensional (3D) transesophageal ultrasound (TEE) is highly desired for intervention monitoring and guidance, but it is still a challenging image processing task due to complex local anatomy, limited field of view and typical ultrasound artifacts. We propose to use a multi-cavity active shape model (ASM) derived from Computed Tomography Angiography (CTA) segmentations in conjunction with a blood/tissue classification by Gamma Mixture Models to identify and segment the individual cavities simultaneously. A scheme that utilized successively ASMs of the whole heart and the individual cavities was used to segment the entire heart. We successfully validated our segmentation scheme with manually outlined contours and with CTA segmentations for three patients. The segmentations of the three patients had an average distance of 2.3, 4.9, and 2.1 mm to the manual outlines. © 2013 Springer-Verlag.

AB - Segmentation of three-dimensional (3D) transesophageal ultrasound (TEE) is highly desired for intervention monitoring and guidance, but it is still a challenging image processing task due to complex local anatomy, limited field of view and typical ultrasound artifacts. We propose to use a multi-cavity active shape model (ASM) derived from Computed Tomography Angiography (CTA) segmentations in conjunction with a blood/tissue classification by Gamma Mixture Models to identify and segment the individual cavities simultaneously. A scheme that utilized successively ASMs of the whole heart and the individual cavities was used to segment the entire heart. We successfully validated our segmentation scheme with manually outlined contours and with CTA segmentations for three patients. The segmentations of the three patients had an average distance of 2.3, 4.9, and 2.1 mm to the manual outlines. © 2013 Springer-Verlag.

U2 - 10.1007/978-3-642-40843-4_3

DO - 10.1007/978-3-642-40843-4_3

M3 - Conference contribution

SN - 978-3-642-40843-4

T3 - Lecture Notes in Computer Science

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EP - 26

BT - Augmented Reality Environments for Medical Imaging and Computer-Assisted Interventions: 6th International Workshop (MIAR 2013)

A2 - Liao, H.

A2 - Linte, C.A.

A2 - Masamune, K.

A2 - Peters, T.M.

A2 - Zheng, G.

PB - Springer

CY - Berlin Heidelberg

T2 - 6th International Workshop on Medical Imaging and Augmented Reality (MIAR 2013)/ 8th International Workshop on Augmented Environments for Computer-Assisted Interventions (AE-CAI 2013)

Y2 - 22 September 2013 through 22 September 2013

ER -

Haak A, Vegas-Sanchez-Ferrero G, Mulder HH, Kirisli HA, Baka N, Metz C et al. Segmentation of 3D transesophageal echocardiograms by multi-cavity active shape model and gamma mixture model. In Liao H, Linte CA, Masamune K, Peters TM, Zheng G, editors, Augmented Reality Environments for Medical Imaging and Computer-Assisted Interventions: 6th International Workshop (MIAR 2013). Berlin Heidelberg: Springer. 2013. p. 19-26. (Lecture Notes in Computer Science). doi: 10.1007/978-3-642-40843-4_3

Segmentation of 3D transesophageal echocardiograms by multi-cavity active shape model and gamma mixture model

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