A review on MR vascular image processing: Skeleton versus nonskeleton approaches: Part II

IEEE Transactions on Information Technology in Biomedicine

Volumn 6, Issue 4, 2002, Pages 338-350

  Suri, Jasjit S ^a   Liu, Kecheng ^a   Reden, Laura ^a   Laxminarayan, Swamy ^b,c  

^a PHILIPS HEALTHCARE   (United States)

^b NEW JERSEY INSTITUTE OF TECHNOLOGY   (United States)

^c IDAHO STATE UNIVERSITY   (United States)

Author keywords

Arteries; Centerline; Cross section; Curvature; Deformable models; Direct; Indirect; Level sets; Magnetic resonance angiography (MRA); Nonskeleton; Partial differential equations; Quantification; Scale space; Segmentation; Skeleton; Stenosis; Threshold; Tr acking; Vasculature; Veins; Vessels

Indexed keywords

ALGORITHMS; ANGIOGRAPHY; BONE; EIGENVALUES AND EIGENFUNCTIONS; IMAGE SEGMENTATION; MAGNETIC RESONANCE IMAGING; MATHEMATICAL MORPHOLOGY; PARTIAL DIFFERENTIAL EQUATIONS;

ARTERIES; CENTERLINE; MAGNETIC RESONANCE ANGIOGRAPHY; SKELETON; STENOSIS; VASCULAR SEGMENTATION; VASCULATURE;

CARDIOVASCULAR SYSTEM;

ALGORITHM; AUTOMATED PATTERN RECOGNITION; BLOOD VESSEL; COMPARATIVE STUDY; COMPUTER ASSISTED DIAGNOSIS; EVALUATION; HISTOLOGY; HUMAN; IMAGE ENHANCEMENT; MAGNETIC RESONANCE ANGIOGRAPHY; METHODOLOGY; REVIEW; SIGNAL PROCESSING; THREE DIMENSIONAL IMAGING;

ALGORITHMS; BLOOD VESSELS; HUMANS; IMAGE ENHANCEMENT; IMAGE INTERPRETATION, COMPUTER-ASSISTED; IMAGING, THREE-DIMENSIONAL; MAGNETIC RESONANCE ANGIOGRAPHY; PATTERN RECOGNITION, AUTOMATED; SIGNAL PROCESSING, COMPUTER-ASSISTED;

EID: 0036961882     PISSN: 10897771     EISSN: None     Source Type: Journal    
DOI: 10.1109/TITB.2002.804136     Document Type: Article

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