Level-Set Based Carotid Artery Segmentation for Stenosis Grading

C.M. van Bemmel; L.J. Spreeuwers; M.A. Viergever; W.J. Niessen

doi:10.1007/3-540-45787-9_5

Level-Set Based Carotid Artery Segmentation for Stenosis Grading

C.M. van Bemmel, L.J. Spreeuwers, M.A. Viergever, W.J. Niessen

Research output: Contribution to conference › Paper › peer-review

16 Citations (Scopus)

1 Downloads (Pure)

Abstract

A semi-automated method is presented for the determination of the degree of stenosis of the internal carotid artery (ICA) in 3D contrast-enhanced (CE) MR angiograms. Hereto, we determined the central vessel axis (CA), which subsequently is used as an initialization for a level-set based segmentation of the stenosed carotid artery. The degree of stenosis is determined by calculating the average diameters of cross-sectional planes along the CA. For twelve ICAs the degree of stenosis was determined and correlated with the scores of two experts (NASCET criterion). The Spearman’s correlation coefficient for the proposed method was 0.96 (p<0.001), versus 0.89 and 0.88 (p<0.001) for the manual scores, and a smaller bias and tighter confidence bounds for the automated method were found.

Original language	English
Pages	36-43
Number of pages	8
DOIs	https://doi.org/10.1007/3-540-45787-9_5
Publication status	Published - 2002
Event	5th International Conference on Medical Image Computing and Computer Assisted Intervention, MICCAI 2002 - Tokyo, Japan Duration: 25 Sept 2002 → 28 Sept 2002 Conference number: 5

Conference

Conference	5th International Conference on Medical Image Computing and Computer Assisted Intervention, MICCAI 2002
Abbreviated title	MICCAI
Country/Territory	Japan
City	Tokyo
Period	25/09/02 → 28/09/02
Other	September 25-28, 2002

Keywords

IR-65109
EWI-14094

Access to Document

10.1007/3-540-45787-9_5

Cite this

@conference{83cc7076adfe4d409f2dd7e497e70faf,

title = "Level-Set Based Carotid Artery Segmentation for Stenosis Grading",

abstract = "A semi-automated method is presented for the determination of the degree of stenosis of the internal carotid artery (ICA) in 3D contrast-enhanced (CE) MR angiograms. Hereto, we determined the central vessel axis (CA), which subsequently is used as an initialization for a level-set based segmentation of the stenosed carotid artery. The degree of stenosis is determined by calculating the average diameters of cross-sectional planes along the CA. For twelve ICAs the degree of stenosis was determined and correlated with the scores of two experts (NASCET criterion). The Spearman{\textquoteright}s correlation coefficient for the proposed method was 0.96 (p<0.001), versus 0.89 and 0.88 (p<0.001) for the manual scores, and a smaller bias and tighter confidence bounds for the automated method were found.",

keywords = "IR-65109, EWI-14094",

author = "{van Bemmel}, C.M. and L.J. Spreeuwers and M.A. Viergever and W.J. Niessen",

year = "2002",

doi = "10.1007/3-540-45787-9_5",

language = "English",

pages = "36--43",

note = "5th International Conference on Medical Image Computing and Computer Assisted Intervention, MICCAI 2002, MICCAI ; Conference date: 25-09-2002 Through 28-09-2002",

}

TY - CONF

T1 - Level-Set Based Carotid Artery Segmentation for Stenosis Grading

AU - van Bemmel, C.M.

AU - Spreeuwers, L.J.

AU - Viergever, M.A.

AU - Niessen, W.J.

N1 - Conference code: 5

PY - 2002

Y1 - 2002

N2 - A semi-automated method is presented for the determination of the degree of stenosis of the internal carotid artery (ICA) in 3D contrast-enhanced (CE) MR angiograms. Hereto, we determined the central vessel axis (CA), which subsequently is used as an initialization for a level-set based segmentation of the stenosed carotid artery. The degree of stenosis is determined by calculating the average diameters of cross-sectional planes along the CA. For twelve ICAs the degree of stenosis was determined and correlated with the scores of two experts (NASCET criterion). The Spearman’s correlation coefficient for the proposed method was 0.96 (p<0.001), versus 0.89 and 0.88 (p<0.001) for the manual scores, and a smaller bias and tighter confidence bounds for the automated method were found.

AB - A semi-automated method is presented for the determination of the degree of stenosis of the internal carotid artery (ICA) in 3D contrast-enhanced (CE) MR angiograms. Hereto, we determined the central vessel axis (CA), which subsequently is used as an initialization for a level-set based segmentation of the stenosed carotid artery. The degree of stenosis is determined by calculating the average diameters of cross-sectional planes along the CA. For twelve ICAs the degree of stenosis was determined and correlated with the scores of two experts (NASCET criterion). The Spearman’s correlation coefficient for the proposed method was 0.96 (p<0.001), versus 0.89 and 0.88 (p<0.001) for the manual scores, and a smaller bias and tighter confidence bounds for the automated method were found.

KW - IR-65109

KW - EWI-14094

U2 - 10.1007/3-540-45787-9_5

DO - 10.1007/3-540-45787-9_5

M3 - Paper

SP - 36

EP - 43

T2 - 5th International Conference on Medical Image Computing and Computer Assisted Intervention, MICCAI 2002

Y2 - 25 September 2002 through 28 September 2002

ER -

Level-Set Based Carotid Artery Segmentation for Stenosis Grading

Abstract

Conference

Keywords

Access to Document

Fingerprint

Cite this