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

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.

OriginalsprogEngelsk
TitelMedical Computer Vision. Recognition techniques and applications in medical imaging : Second International MICCAI Workshop, MCV 2012, Nice, France, Revised Selected Papers
RedaktørerBjoern H. Menze, Georg Langs, Le Lu, Albert Montillo, Zhuowen Tu, Antonio Criminisi
Antal sider10
ForlagSpringer
Publikationsdato2013
Sider38-47
ISBN (Trykt)978-3-642-36619-2
ISBN (Elektronisk)978-3-642-36620-8
DOI
StatusUdgivet - 2013
BegivenhedSecond International MICCAI Workshop on Medical Computer Vision: Recognition techniques and applications in medical imaging - Nice, Frankrig
Varighed: 5 okt. 20125 okt. 2012
Konferencens nummer: 2

Konference

KonferenceSecond International MICCAI Workshop on Medical Computer Vision
Nummer2
Land/OmrådeFrankrig
ByNice
Periode05/10/201205/10/2012
NavnLecture notes in computer science
Vol/bind7766
ISSN0302-9743

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