title: A review on MR vascular image processing: skeleton versus nonskeleton approaches: part II.
abstract: Vascular segmentation has recently been given much attention. This review paper has two parts. Part I of this review focused on the physics of magnetic resonance angiography (MRA) and prefiltering techniques applied to MRA. Part II of this review presents the state-of-the-art overview, status, and new achievements in vessel segmentation algorithms from MRA. The first part of this review paper is focused on the nonskeleton or direct-based techniques. Here, we present eight different techniques along with their mathematical foundations, algorithms and their pros and cons. We will also focus on the skeleton or indirect-based techniques. We will discuss three different techniques along with their mathematical foundations, algorithms and their pros and cons. This paper also includes a clinical discussion on skeleton versus nonskeleton-based segmentation techniques. Finally, we shall conclude this paper with the possible challenges, the future, and a brief summary on vascular segmentation techniques.
authors.affiliation: Philips Medical Systems, Inc., Cleveland, OH 44143, USA.
authors.forename: Jasjit S
authors.initials: JS
authors.lastname: Suri
authors.forename: Kecheng
authors.initials: K
authors.lastname: Liu
authors.forename: Laura
authors.initials: L
authors.lastname: Reden
authors.forename: Swamy
authors.initials: S
authors.lastname: Laxminarayan
mesh_terms: D000465:Algorithms; D001808:Blood Vessels / Q000033:anatomy & histology*; D006801:Humans; D007089:Image Enhancement / Q000379:methods*; D007090:Image Interpretation, Computer-Assisted / Q000379:methods*; D021621:Imaging, Three-Dimensional / Q000379:methods*; D018810:Magnetic Resonance Angiography / Q000379:methods*; D010363:Pattern Recognition, Automated; D012815:Signal Processing, Computer-Assisted