title: Automated Delineation of Vessel Wall and Thrombus Boundaries of Abdominal Aortic Aneurysms Using Multispectral MR Images.
abstract: A correct patient-specific identification of the abdominal aortic aneurysm is useful for both diagnosis and treatment stages, as it locates the disease and represents its geometry. The actual thickness and shape of the arterial wall and the intraluminal thrombus are of great importance when predicting the rupture of the abdominal aortic aneurysms. The authors describe a novel method for delineating both the internal and external contours of the aortic wall, which allows distinguishing between vessel wall and intraluminal thrombus. The method is based on active shape model and texture statistical information. The method was validated with eight MR patient studies. There was high correspondence between automatic and manual measurements for the vessel wall area. Resulting segmented images presented a mean Dice coefficient with respect to manual segmentations of 0.88 and a mean modified Hausdorff distance of 1.14 mm for the internal face and 0.86 and 1.33 mm for the external face of the arterial wall. Preliminary results of the segmentation show high correspondence between automatic and manual measurements for the vessel wall and thrombus areas. However, since the dataset is small the conclusions cannot be generalized.
authors.affiliation: Biomedical Engineering and Telemedicine Centre, ETSI de Telecomunicación, Universidad Politécnica de Madrid, 28040 Madrid, Spain ; Networking Research Centre on Bioengineering, Biomaterials and Nanomedicine (CIBER-BBN), 28040 Madrid, Spain.
authors.forename: B
authors.initials: B
authors.lastname: Rodriguez-Vila
authors.affiliation: Biomedical Engineering and Telemedicine Centre, ETSI de Telecomunicación, Universidad Politécnica de Madrid, 28040 Madrid, Spain.
authors.forename: J
authors.initials: J
authors.lastname: Tarjuelo-Gutierrez
authors.affiliation: Biomedical Engineering and Telemedicine Centre, ETSI de Telecomunicación, Universidad Politécnica de Madrid, 28040 Madrid, Spain.
authors.forename: P
authors.initials: P
authors.lastname: Sánchez-González
authors.affiliation: Laboratory of Experimental Cardiac Surgery, Department of Cardiovascular Diseases, Gasthuisberg University Hospital, University of Leuven, 3000 Leuven, Belgium.
authors.forename: P
authors.initials: P
authors.lastname: Verbrugghe
authors.affiliation: Laboratory of Experimental Cardiac Surgery, Department of Cardiovascular Diseases, Gasthuisberg University Hospital, University of Leuven, 3000 Leuven, Belgium.
authors.forename: I
authors.initials: I
authors.lastname: Fourneau
authors.affiliation: Laboratory of Experimental Cardiac Surgery, Department of Cardiovascular Diseases, Gasthuisberg University Hospital, University of Leuven, 3000 Leuven, Belgium.
authors.forename: G
authors.initials: G
authors.lastname: Maleux
authors.affiliation: Laboratory of Experimental Cardiac Surgery, Department of Cardiovascular Diseases, Gasthuisberg University Hospital, University of Leuven, 3000 Leuven, Belgium.
authors.forename: P
authors.initials: P
authors.lastname: Herijgers
authors.affiliation: Biomedical Engineering and Telemedicine Centre, ETSI de Telecomunicación, Universidad Politécnica de Madrid, 28040 Madrid, Spain ; Networking Research Centre on Bioengineering, Biomaterials and Nanomedicine (CIBER-BBN), 28040 Madrid, Spain.
authors.forename: E J
authors.initials: EJ
authors.lastname: Gomez
mesh_terms: D000465:Algorithms; D000792:Angiography; D017544:Aortic Aneurysm, Abdominal / Q000175:diagnosis* / Q000473:pathology*; D001696:Biomechanical Phenomena; D001808:Blood Vessels / Q000473:pathology*; D004730:Endothelium, Vascular / Q000473:pathology*; D006801:Humans; D007091:Image Processing, Computer-Assisted / Q000379:methods*; D021621:Imaging, Three-Dimensional; D008279:Magnetic Resonance Imaging; D015233:Models, Statistical; D015203:Reproducibility of Results; D012984:Software; D013927:Thrombosis / Q000175:diagnosis / Q000473:pathology*; D014057:Tomography, X-Ray Computed