Evaluation framework for carotid bifurcation lumen segmentation and stenosis grading

Autor: Leo Joskowicz, Moti Freiman, Karl Krissian, Jacob Sosna, Coert Metz, Noy Cohen, Ingrid Sanchez, Julien Mille, T. van Walsum, Wiro J. Niessen, Maciej Orkisz, Wilbur C.K. Wong, M. P M Q van Gils, K. Hameeteman, M. Hernández Hoyos, Gabriel P. Krestin, L. Florez Valencia, L. van den Borne, Olivier Cuisenaire, Michiel Schaap, Mehmet Akif Gulsun, P. Berman, A. van der Lugt, Philippe Douek, Maria A. Zuluaga, Huseyin Tek, M. Aissat, Fethallah Benmansour, S. Rozie, Albert C. S. Chung
Přispěvatelé: Biomedical Imaging Group [Rotterdam] (BIG), Erasmus University Medical Center [Rotterdam] (Erasmus MC), Imagerie Tomographique et Radiothérapie, Centre de Recherche en Acquisition et Traitement de l'Image pour la Santé (CREATIS), Université Jean Monnet [Saint-Étienne] (UJM)-Hospices Civils de Lyon (HCL)-Institut National des Sciences Appliquées de Lyon (INSA Lyon), Université de Lyon-Institut National des Sciences Appliquées (INSA)-Université de Lyon-Institut National des Sciences Appliquées (INSA)-Université Claude Bernard Lyon 1 (UCBL), Université de Lyon-Centre National de la Recherche Scientifique (CNRS)-Institut National de la Santé et de la Recherche Médicale (INSERM)-Université Jean Monnet [Saint-Étienne] (UJM)-Hospices Civils de Lyon (HCL)-Institut National des Sciences Appliquées de Lyon (INSA Lyon), Université de Lyon-Centre National de la Recherche Scientifique (CNRS)-Institut National de la Santé et de la Recherche Médicale (INSERM), Grupo IMAGINE, Universidad de los Andes [Bogota] (UNIANDES), Computer-Aided Surgery and Medical Image Processing Laboratory, The Hebrew University of Jerusalem (HUJ), MedisysResearch Lab (Medisys), Philips Research, Departamento de Ingeniería de Sistemas, Facultad de Ingeniería, Pontificia Universidad Javeriana (PUJ), Imaging and Visualization Department, Siemens Corporate Research, GIMET, Dept. de Informática y Sistemas (GIMET), University of Las Palmas de Gran Canaria (ULPGC), Extraction de Caractéristiques et Identification (imagine), Laboratoire d'InfoRmatique en Image et Systèmes d'information (LIRIS), Institut National des Sciences Appliquées de Lyon (INSA Lyon), Université de Lyon-Institut National des Sciences Appliquées (INSA)-Université de Lyon-Institut National des Sciences Appliquées (INSA)-Centre National de la Recherche Scientifique (CNRS)-Université Claude Bernard Lyon 1 (UCBL), Université de Lyon-École Centrale de Lyon (ECL), Université de Lyon-Université Lumière - Lyon 2 (UL2)-Institut National des Sciences Appliquées de Lyon (INSA Lyon), Université de Lyon-Université Lumière - Lyon 2 (UL2), Lo Kwee-Seong Medical Image Analysis Laboratory, Hong Kong University of Science and Technology (HKUST), Imagerie et modélisation Vasculaires, Thoraciques et Cérébrales (MOTIVATE), CEntre de REcherches en MAthématiques de la DEcision (CEREMADE), Centre National de la Recherche Scientifique (CNRS)-Université Paris Dauphine-PSL, Université Paris sciences et lettres (PSL)-Université Paris sciences et lettres (PSL), Department of Radiology, Hadassah Hebrew University Medical Centre, Hadassah Hebrew University, Service de Radiologie, Hôpital Louis Pradel [CHU - HCL], Hospices Civils de Lyon (HCL)-Hospices Civils de Lyon (HCL), Imaging Science and Technology, Delft University of Technology (TU Delft), Radiology & Nuclear Medicine
Rok vydání: 2011
Předmět:
medicine.medical_specialty
medicine.medical_treatment
Carotid arteries
Evaluation framework
Health Informatics
Information repository
computer.software_genre
Sensitivity and Specificity
Pattern Recognition
Automated
030218 nuclear medicine & medical imaging
03 medical and health sciences
Imaging
Three-Dimensional
0302 clinical medicine
[INFO.INFO-TS]Computer Science [cs]/Signal and Image Processing
3d segmentation
medicine
Carotid bifurcation
[INFO.INFO-IM]Computer Science [cs]/Medical Imaging
Humans
Carotid Stenosis
Radiology
Nuclear Medicine and imaging
Endarterectomy
Lumen segmentation
Carotid
Radiological and Ultrasound Technology
medicine.diagnostic_test
CTA
business.industry
Stenosis grading
Angiography
Reproducibility of Results
medicine.disease
Computer Graphics and Computer-Aided Design
Radiographic Image Enhancement
Stenosis
Carotid Arteries
Radiographic Image Interpretation
Computer-Assisted
Computer Vision and Pattern Recognition
Radiology
Data mining
Tomography
X-Ray Computed
business
computer
[SPI.SIGNAL]Engineering Sciences [physics]/Signal and Image processing
Algorithms
030217 neurology & neurosurgery
Zdroj: Medical Image Analysis
Medical Image Analysis, Elsevier, 2011, 15 (4), pp.477-488. ⟨10.1016/j.media.2011.02.004⟩
Medical Image Analysis, 15(4), 477-488. Elsevier
ISSN: 1361-8423
1361-8415
Popis: International audience; 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
Databáze: OpenAIRE
Externí odkaz: