Evaluation framework for carotid bifurcation lumen segmentation and stenosis grading
K. Hameeteman
(1)
,
M. A. Zuluaga
(2, 3)
,
M. Freiman
(4)
,
L. Joskowicz
(4)
,
Olivier Cuisenaire
(5)
,
L. Florez Valencia
(6)
,
M. A. Gülsün
(7)
,
K. Krissian
(8)
,
Julien Mille
(9)
,
W. C. K. Wong
(10)
,
M. Orkisz
(11)
,
H. Tek
(7)
,
M. Hernández Hoyos
(3)
,
F. Benmansour
(12)
,
A. C. S. Chung
(10)
,
S. Rozie
(13)
,
M. van Gils
(13)
,
L. van den Borne
(13)
,
J. Sosna
(14)
,
P. Berman
(14)
,
N. Cohen
(14)
,
P. C. Douek
(11, 15)
,
I. Sanchez
(15)
,
M. Aissat
(15)
,
M. Schaap
(1)
,
C. T. Metz
(1)
,
G. P. Krestin
(13)
,
A. van Der Lugt
(13)
,
W. J. Niessen
(1, 16)
,
T. van Walsum
(1)
1
BIG -
Biomedical Imaging Group [Rotterdam]
2 Imagerie Tomographique et Radiothérapie
3 Grupo IMAGINE
4 Computer-Aided Surgery and Medical Image Processing Laboratory
5 Medisys - MedisysResearch Lab
6 Departamento de Ingeniería de Sistemas, Facultad de Ingeniería
7 Imaging and Visualization Department
8 GIMET - GIMET, Dept. de Informática y Sistemas
9 imagine - Extraction de Caractéristiques et Identification
10 Lo Kwee-Seong Medical Image Analysis Laboratory
11 MOTIVATE - Imagerie et modélisation Vasculaires, Thoraciques et Cérébrales
12 CEREMADE - CEntre de REcherches en MAthématiques de la DEcision
13 Department of Radiology
14 Hadassah Hebrew University Medical Centre
15 Service de Radiologie
16 Imaging Science and Technology
2 Imagerie Tomographique et Radiothérapie
3 Grupo IMAGINE
4 Computer-Aided Surgery and Medical Image Processing Laboratory
5 Medisys - MedisysResearch Lab
6 Departamento de Ingeniería de Sistemas, Facultad de Ingeniería
7 Imaging and Visualization Department
8 GIMET - GIMET, Dept. de Informática y Sistemas
9 imagine - Extraction de Caractéristiques et Identification
10 Lo Kwee-Seong Medical Image Analysis Laboratory
11 MOTIVATE - Imagerie et modélisation Vasculaires, Thoraciques et Cérébrales
12 CEREMADE - CEntre de REcherches en MAthématiques de la DEcision
13 Department of Radiology
14 Hadassah Hebrew University Medical Centre
15 Service de Radiologie
16 Imaging Science and Technology
M. Orkisz
- Fonction : Auteur
- PersonId : 19676
- IdHAL : maciej-orkisz
- ORCID : 0000-0003-1709-5766
- IdRef : 070950091
P. C. Douek
- Fonction : Auteur
- PersonId : 173652
- IdHAL : philippe-douek
- ORCID : 0000-0002-5096-4698
- IdRef : 050693255
Résumé
This paper describes an evaluation framework that allows a standardized and objective quantitative comparison of carotid artery lumen segmentation and stenosis grading algorithms. We describe the data repository comprising 56 multi-center, multi-vendor CTA datasets, their acquisition, the creation of the reference standard and the evaluation measures. This framework has been introduced at the MICCAI 2009 workshop 3D Segmentation in the Clinic: A Grand Challenge III, and we compare the results of eight teams that participated. These results show that automated segmentation of the vessel lumen is possible with a precision that is comparable to manual annotation. The framework is open for new submissions through the website http://cls2009.bigr.nl. The final accepted version of this paper is published in Medical Image Analysis, vol 15(4) ,doi:10.1016/j.media.2011.02.004