Benchmarking the CoW with the TopCoW Challenge: Topology-Aware Anatomical Segmentation of the Circle of Willis for CTA and MRA.
Kaiyuan YangFabio MusioYihui MaNorman JuchlerJohannes C. PaetzoldRami Al-MaskariLuciano HöherHongwei Bran LiIbrahim Ethem HamamciAnjany SekuboyinaSuprosanna ShitHoujing HuangDiana WaldmannstetterFlorian KoflerFernando NavarroMartin J. MentenIvan EzhovDaniel RueckertIris N. VosYnte M. RuigrokBirgitta K. VelthuisHugo J. KuijfJulien HämmerliCatherine WursterPhilippe BijlengaLaura WestphalJeroen BisschopElisa ColomboHakim BaazaouiAndrew MakmurJames HallinanBenedikt WiestlerJan S. KirschkeRoland WiestEmmanuel MontagnonLaurent Létourneau-GuillonAdrian GaldranFrancesco GalatiDaniele FalcettaMaria A. ZuluagaChaolong LinHaoran ZhaoZehan ZhangSinyoung RaJongyun HwangHyunjin ParkJunqiang ChenMarek WodzinskiHenning Mülleret al.Published in: CoRR (2023)
Keyphrases
- computed tomography angiography
- carotid artery
- medical images
- magnetic resonance angiography
- fully automatic
- segmentation algorithm
- level set
- three dimensional
- region growing
- image segmentation
- contrast enhanced
- segmentation method
- deformable models
- anatomical structures
- multiresolution
- blood pool
- blood vessels
- automatic segmentation
- shape prior
- vessel segmentation
- probabilistic atlas
- manual segmentation
- ultrasound images
- phase contrast
- atlas construction
- coronary artery disease
- brain mri
- deformable surface model
- multiscale
- magnetic resonance images
- image registration
- medical imaging