Carotid artery wall segmentation by coupled surface graph cuts

Andres Arias; Jens Petersen; Arna van Engelen; Hui Tang; Mariana Selwaness; Jacqueline C. M. Witteman; Aad van der Lugt; Wiro Niessen; Marleen de Bruijne

doi:10.1007/978-3-642-36620-8_5

Carotid artery wall segmentation by coupled surface graph cuts

Andres Arias, Jens Petersen, Arna van Engelen, Hui Tang, Mariana Selwaness, Jacqueline C. M. Witteman, Aad van der Lugt, Wiro Niessen, Marleen de Bruijne

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7 Citationer (Scopus)

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Abstract

We present a three-dimensional coupled surface graph cut algorithm for carotid wall segmentation from Magnetic Resonance Imaging (MRI). Using cost functions that highlight both inner and outer vessel wall borders, the method combines the search for both borders into a single graph cut optimization. Our approach requires little user interaction and can robustly segment the carotid artery bifurcation. Experiments on 32 carotid arteries from 16 patients show good agreement between manual segmentation performed by an expert and our method. The mean relative area of overlap is more than 85% for both lumen and outer vessel wall. In addition, differences in measured wall thickness with respect to the manual annotations were smaller than the in-plane pixel size.

Originalsprog	Engelsk
Titel	Medical Computer Vision. Recognition techniques and applications in medical imaging : Second International MICCAI Workshop, MCV 2012, Nice, France, Revised Selected Papers
Redaktører	Bjoern H. Menze, Georg Langs, Le Lu, Albert Montillo, Zhuowen Tu, Antonio Criminisi
Antal sider	10
Forlag	Springer
Publikationsdato	2013
Sider	38-47
ISBN (Trykt)	978-3-642-36619-2
ISBN (Elektronisk)	978-3-642-36620-8
DOI	https://doi.org/10.1007/978-3-642-36620-8_5
Status	Udgivet - 2013
Begivenhed	Second International MICCAI Workshop on Medical Computer Vision: Recognition techniques and applications in medical imaging - Nice, Frankrig Varighed: 5 okt. 2012 → 5 okt. 2012 Konferencens nummer: 2

Konference

Konference	Second International MICCAI Workshop on Medical Computer Vision
Nummer	2
Land/Område	Frankrig
By	Nice
Periode	05/10/2012 → 05/10/2012

Navn	Lecture notes in computer science
Vol/bind	7766
ISSN	0302-9743

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10.1007/978-3-642-36620-8_5

arias_miccai_workshop_2012Accepteret manuskript, 1,01 MB

Citationsformater

Arias, A., Petersen, J., van Engelen, A., Tang, H., Selwaness, M., Witteman, J. C. M., van der Lugt, A., Niessen, W., & de Bruijne, M. (2013). Carotid artery wall segmentation by coupled surface graph cuts. I B. H. Menze, G. Langs, L. Lu, A. Montillo, Z. Tu, & A. Criminisi (red.), Medical Computer Vision. Recognition techniques and applications in medical imaging: Second International MICCAI Workshop, MCV 2012, Nice, France, Revised Selected Papers (s. 38-47). Springer. https://doi.org/10.1007/978-3-642-36620-8_5

Carotid artery wall segmentation by coupled surface graph cuts. / Arias, Andres; Petersen, Jens; van Engelen, Arna et al.
Medical Computer Vision. Recognition techniques and applications in medical imaging: Second International MICCAI Workshop, MCV 2012, Nice, France, Revised Selected Papers. red. / Bjoern H. Menze; Georg Langs; Le Lu; Albert Montillo; Zhuowen Tu; Antonio Criminisi. Springer, 2013. s. 38-47 (Lecture notes in computer science, Bind 7766).

Publikation: Bidrag til bog/antologi/rapport › Konferencebidrag i proceedings › Forskning › peer review

Arias, A, Petersen, J, van Engelen, A, Tang, H, Selwaness, M, Witteman, JCM, van der Lugt, A, Niessen, W & de Bruijne, M 2013, Carotid artery wall segmentation by coupled surface graph cuts. i BH Menze, G Langs, L Lu, A Montillo, Z Tu & A Criminisi (red), Medical Computer Vision. Recognition techniques and applications in medical imaging: Second International MICCAI Workshop, MCV 2012, Nice, France, Revised Selected Papers. Springer, Lecture notes in computer science, bind 7766, s. 38-47, Second International MICCAI Workshop on Medical Computer Vision, Nice, Frankrig, 05/10/2012. https://doi.org/10.1007/978-3-642-36620-8_5

Arias A, Petersen J, van Engelen A, Tang H, Selwaness M, Witteman JCM et al. Carotid artery wall segmentation by coupled surface graph cuts. I Menze BH, Langs G, Lu L, Montillo A, Tu Z, Criminisi A, red., Medical Computer Vision. Recognition techniques and applications in medical imaging: Second International MICCAI Workshop, MCV 2012, Nice, France, Revised Selected Papers. Springer. 2013. s. 38-47. (Lecture notes in computer science, Bind 7766). doi: 10.1007/978-3-642-36620-8_5

Arias, Andres ; Petersen, Jens ; van Engelen, Arna et al. / Carotid artery wall segmentation by coupled surface graph cuts. Medical Computer Vision. Recognition techniques and applications in medical imaging: Second International MICCAI Workshop, MCV 2012, Nice, France, Revised Selected Papers. red. / Bjoern H. Menze ; Georg Langs ; Le Lu ; Albert Montillo ; Zhuowen Tu ; Antonio Criminisi. Springer, 2013. s. 38-47 (Lecture notes in computer science, Bind 7766).

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AU - Arias, Andres

AU - Petersen, Jens

AU - van Engelen, Arna

AU - Tang, Hui

AU - Selwaness, Mariana

AU - Witteman, Jacqueline C. M.

AU - van der Lugt, Aad

AU - Niessen, Wiro

AU - de Bruijne, Marleen

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AB - We present a three-dimensional coupled surface graph cut algorithm for carotid wall segmentation from Magnetic Resonance Imaging (MRI). Using cost functions that highlight both inner and outer vessel wall borders, the method combines the search for both borders into a single graph cut optimization. Our approach requires little user interaction and can robustly segment the carotid artery bifurcation. Experiments on 32 carotid arteries from 16 patients show good agreement between manual segmentation performed by an expert and our method. The mean relative area of overlap is more than 85% for both lumen and outer vessel wall. In addition, differences in measured wall thickness with respect to the manual annotations were smaller than the in-plane pixel size.

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A2 - Lu, Le

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PB - Springer

T2 - Second International MICCAI Workshop on Medical Computer Vision

Y2 - 5 October 2012 through 5 October 2012

ER -

Carotid artery wall segmentation by coupled surface graph cuts

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