An efficient segmentation method for ultrasound images based on a semi-supervised approach and patch-based features

A. Ciurte; N. Houhou; S. Nedevschi; A. Pica; F.L. Munier; J.-Ph. Thiran; X. Bresson; M. Bach Cuadra

doi:10.1109/ISBI.2011.5872564

An efficient segmentation method for ultrasound images based on a semi-supervised approach and patch-based features

A. Ciurte
, N. Houhou
, S. Nedevschi
, A. Pica
, F.L. Munier
, J.-Ph. Thiran
, X. Bresson
, M. Bach Cuadra

Department of Computer Science

Research output: Chapters, Conference Papers, Creative and Literary Works › RGC 32 - Refereed conference paper (with host publication) › peer-review

4 Citations (Scopus)

Abstract

Segmenting ultrasound images is a challenging problem where standard unsupervised segmentation methods such as the well-known Chan-Vese method fail. We propose in this paper an efficient segmentation method for this class of images. Our proposed algorithm is based on a semi-supervised approach (user labels) and the use of image patches as data features. We also consider the Pearson distance between patches, which has been shown to be robust w.r.t speckle noise present in ultrasound images. Our results on phantom and clinical data show a very high similarity agreement with the ground truth provided by a medical expert.

Original language	English
Title of host publication	2011 8th IEEE International Symposium on Biomedical Imaging
Subtitle of host publication	From Nano to Macro - Proceedings
Publisher	IEEE
Pages	969-972
ISBN (Electronic)	9781424441280
ISBN (Print)	9781424441273
DOIs	https://doi.org/10.1109/ISBI.2011.5872564
Publication status	Published - Apr 2011
Event	8th IEEE International Symposium on Biomedical Imaging: From Nano to Macro (ISBI 2011) - Hyatt Regency McCormick Place, Chicago, IL, United States Duration: 30 Mar 2011 → 2 Apr 2011 http://archives.embs.org/wp-content/archives/ISBI/2011/default.asp.html

Publication series

Name	Proceedings - International Symposium on Biomedical Imaging
Volume	2011
ISSN (Print)	1945-7928
ISSN (Electronic)	1945-8452

Conference

Conference	8th IEEE International Symposium on Biomedical Imaging: From Nano to Macro (ISBI 2011)
Abbreviated title	ISBI 2011
Place	United States
City	Chicago, IL
Period	30/03/11 → 2/04/11
Internet address	http://archives.embs.org/wp-content/archives/ISBI/2011/default.asp.html

Research Keywords

active shape model
bipartite graph
image segmentation
retinopathy
Ultrasonography

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10.1109/ISBI.2011.5872564

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Ciurte, A., Houhou, N., Nedevschi, S., Pica, A., Munier, F. L., Thiran, J.-P., Bresson, X., & Bach Cuadra, M. (2011). An efficient segmentation method for ultrasound images based on a semi-supervised approach and patch-based features. In 2011 8th IEEE International Symposium on Biomedical Imaging: From Nano to Macro - Proceedings (pp. 969-972). Article 5872564 (Proceedings - International Symposium on Biomedical Imaging; Vol. 2011). IEEE. https://doi.org/10.1109/ISBI.2011.5872564

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title = "An efficient segmentation method for ultrasound images based on a semi-supervised approach and patch-based features",

abstract = "Segmenting ultrasound images is a challenging problem where standard unsupervised segmentation methods such as the well-known Chan-Vese method fail. We propose in this paper an efficient segmentation method for this class of images. Our proposed algorithm is based on a semi-supervised approach (user labels) and the use of image patches as data features. We also consider the Pearson distance between patches, which has been shown to be robust w.r.t speckle noise present in ultrasound images. Our results on phantom and clinical data show a very high similarity agreement with the ground truth provided by a medical expert. ",

keywords = "active shape model, bipartite graph, image segmentation, retinopathy, Ultrasonography",

author = "A. Ciurte and N. Houhou and S. Nedevschi and A. Pica and F.L. Munier and J.-Ph. Thiran and X. Bresson and \{Bach Cuadra\}, M.",

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note = "8th IEEE International Symposium on Biomedical Imaging: From Nano to Macro (ISBI 2011), ISBI 2011 ; Conference date: 30-03-2011 Through 02-04-2011",

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Ciurte, A, Houhou, N, Nedevschi, S, Pica, A, Munier, FL, Thiran, J-P, Bresson, X & Bach Cuadra, M 2011, An efficient segmentation method for ultrasound images based on a semi-supervised approach and patch-based features. in 2011 8th IEEE International Symposium on Biomedical Imaging: From Nano to Macro - Proceedings., 5872564, Proceedings - International Symposium on Biomedical Imaging, vol. 2011, IEEE, pp. 969-972, 8th IEEE International Symposium on Biomedical Imaging: From Nano to Macro (ISBI 2011), Chicago, IL, United States, 30/03/11. https://doi.org/10.1109/ISBI.2011.5872564

An efficient segmentation method for ultrasound images based on a semi-supervised approach and patch-based features. / Ciurte, A.; Houhou, N.; Nedevschi, S. et al.
2011 8th IEEE International Symposium on Biomedical Imaging: From Nano to Macro - Proceedings. IEEE, 2011. p. 969-972 5872564 (Proceedings - International Symposium on Biomedical Imaging; Vol. 2011).

Research output: Chapters, Conference Papers, Creative and Literary Works › RGC 32 - Refereed conference paper (with host publication) › peer-review

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AU - Ciurte, A.

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AU - Nedevschi, S.

AU - Pica, A.

AU - Munier, F.L.

AU - Thiran, J.-Ph.

AU - Bresson, X.

AU - Bach Cuadra, M.

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AB - Segmenting ultrasound images is a challenging problem where standard unsupervised segmentation methods such as the well-known Chan-Vese method fail. We propose in this paper an efficient segmentation method for this class of images. Our proposed algorithm is based on a semi-supervised approach (user labels) and the use of image patches as data features. We also consider the Pearson distance between patches, which has been shown to be robust w.r.t speckle noise present in ultrasound images. Our results on phantom and clinical data show a very high similarity agreement with the ground truth provided by a medical expert.

KW - active shape model

KW - bipartite graph

KW - image segmentation

KW - retinopathy

KW - Ultrasonography

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Ciurte A, Houhou N, Nedevschi S, Pica A, Munier FL, Thiran JP et al. An efficient segmentation method for ultrasound images based on a semi-supervised approach and patch-based features. In 2011 8th IEEE International Symposium on Biomedical Imaging: From Nano to Macro - Proceedings. IEEE. 2011. p. 969-972. 5872564. (Proceedings - International Symposium on Biomedical Imaging). doi: 10.1109/ISBI.2011.5872564

An efficient segmentation method for ultrasound images based on a semi-supervised approach and patch-based features

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