Robust measures of three-dimensional vascular tortuosity based on the minimum curvature of approximating polynomial spline fits to the vessel mid-line

Medical Engineering and Physics

Volumn 29, Issue 6, 2007, Pages 677-690

  Johnson, Michael J ^a   Dougherty, Geoff ^b  

^a KUWAIT UNIVERSITY   (Kuwait)

^b CALIFORNIA STATE UNIVERSITY CHANNEL ISLANDS   (United States)

Author keywords

Blood vessels; Spline fitting; Tortuosity; Vessel mid line

Indexed keywords

ANGIOGRAPHY; IMAGING SYSTEMS; PARAMETERIZATION; PATHOLOGY; POLYNOMIALS; ROBUSTNESS (CONTROL SYSTEMS);

NOISY DATA; SPLINE FITTING; TORTUOSITY; VESSEL MID-LINE;

DISEASES;

ARTICLE; BLOOD VESSEL; BLOOD VESSEL PARAMETERS; BLOOD VESSEL TORTUOSITY; IMAGE ANALYSIS; IMAGE PROCESSING; IMAGING SYSTEM; PRIORITY JOURNAL; THREE DIMENSIONAL IMAGING;

ALGORITHMS; ANIMALS; BLOOD VESSELS; HUMANS; IMAGE ENHANCEMENT; IMAGE INTERPRETATION, COMPUTER-ASSISTED; IMAGING, THREE-DIMENSIONAL; INFORMATION STORAGE AND RETRIEVAL; NUMERICAL ANALYSIS, COMPUTER-ASSISTED; PATTERN RECOGNITION, AUTOMATED; REPRODUCIBILITY OF RESULTS; SENSITIVITY AND SPECIFICITY;

EID: 33947527877     PISSN: 13504533     EISSN: None     Source Type: Journal    
DOI: 10.1016/j.medengphy.2006.07.008     Document Type: Article

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