naa a22 4500 510808174 CHVBK 20180411083428.0 cr unu---uuuuu 180411e20130901xx s 000 0 eng 10.1007/s11548-013-0823-9 doi (NATIONALLICENCE)springer-10.1007/s11548-013-0823-9 Computer-aided nidus segmentation and angiographic characterization of arteriovenous malformations [Elektronische Daten] [Nils Forkert, Till Illies, Einar Goebell, Jens Fiehler, Dennis Säring, Heinz Handels] Purpose: Exact knowledge about the nidus of an arteriovenous malformation (AVM) and the connected vessels is often required for image-based research projects and optimal therapy planning. The aim of this work is to present and evaluate a computer-aided nidus segmentation technique and subsequent angiographic characterization of the connected vessels that can be visualized in 3D. Methods: The proposed method was developed and evaluated based on 15 datasets of patients with an AVM. Each dataset consists of a high-resolution 3D and a 4D magnetic resonance angiography (MRA) image sequence. After automatic cerebrovascular segmentation from the 3D MRA dataset, a voxel-wise support vector machine classification based on four extracted features is performed to generate a new parameter map. The nidus is represented by positive values in this parameter map and can be extracted using volume growing. Finally, the nidus segmentation is dilated and used for an automatic identification of feeding arteries and draining veins by integrating hemodynamic information from the 4D MRA datasets. Results: A quantitative comparison of the computer-aided AVM nidus segmentation results to manual gold-standard segmentations by two observers revealed a mean Dice coefficient of 0.835, which is comparable to the inter-observer agreement for which a mean Dice coefficient of 0.830 was determined. The angiographic characterization was visually rated feasible for all patients. Conclusion: The presented computer-aided method enables a reproducible and fast extraction of the AVM nidus as well as an automatic angiographic characterization of the connected vessels, which can be used to support image-based research projects and therapy planning of AVMs. CARS, 2013 Intracranial arteriovenous malformations nationallicence Magnetic resonance angiography nationallicence Hemodynamics nationallicence Computer-assisted image interpretation nationallicence Forkert Nils Department of Diagnostic and Interventional Neuroradiology, University Medical Center Hamburg-Eppendorf, Bldg. W36, Martinistraße 52, 20246, Hamburg, Germany aut Illies Till Department of Diagnostic and Interventional Neuroradiology, University Medical Center Hamburg-Eppendorf, Bldg. W36, Martinistraße 52, 20246, Hamburg, Germany aut Goebell Einar Department of Diagnostic and Interventional Neuroradiology, University Medical Center Hamburg-Eppendorf, Bldg. W36, Martinistraße 52, 20246, Hamburg, Germany aut Fiehler Jens Department of Diagnostic and Interventional Neuroradiology, University Medical Center Hamburg-Eppendorf, Bldg. W36, Martinistraße 52, 20246, Hamburg, Germany aut Säring Dennis Department of Computational Neuroscience, University Medical Center Hamburg-Eppendorf, Hamburg, Germany aut Handels Heinz Institute of Medical Informatics, University of Lübeck, Lübeck, Germany aut International Journal of Computer Assisted Radiology and Surgery Springer Berlin Heidelberg 8/5(2013-09-01), 775-786 1861-6410 8:5<775 2013 8 11548 https://doi.org/10.1007/s11548-013-0823-9 text/html Onlinezugriff via DOI 1 research-article jats NATIONALLICENCE 856 40 https://doi.org/10.1007/s11548-013-0823-9 text/html Onlinezugriff via DOI NATIONALLICENCE 700 1- Forkert Nils Department of Diagnostic and Interventional Neuroradiology, University Medical Center Hamburg-Eppendorf, Bldg. W36, Martinistraße 52, 20246, Hamburg, Germany aut NATIONALLICENCE 700 1- Illies Till Department of Diagnostic and Interventional Neuroradiology, University Medical Center Hamburg-Eppendorf, Bldg. W36, Martinistraße 52, 20246, Hamburg, Germany aut NATIONALLICENCE 700 1- Goebell Einar Department of Diagnostic and Interventional Neuroradiology, University Medical Center Hamburg-Eppendorf, Bldg. W36, Martinistraße 52, 20246, Hamburg, Germany aut NATIONALLICENCE 700 1- Fiehler Jens Department of Diagnostic and Interventional Neuroradiology, University Medical Center Hamburg-Eppendorf, Bldg. W36, Martinistraße 52, 20246, Hamburg, Germany aut NATIONALLICENCE 700 1- Säring Dennis Department of Computational Neuroscience, University Medical Center Hamburg-Eppendorf, Hamburg, Germany aut NATIONALLICENCE 700 1- Handels Heinz Institute of Medical Informatics, University of Lübeck, Lübeck, Germany aut NATIONALLICENCE 773 0- International Journal of Computer Assisted Radiology and Surgery Springer Berlin Heidelberg 8/5(2013-09-01), 775-786 1861-6410 8:5<775 2013 8 11548 Metadata rights reserved Springer special CC-BY-NC licence nationallicence BK010053 XK010053 XK010000 NATIONALLICENCE NATIONALLICENCE NL-springer