Clinical validation of three-dimensional tortuosity metrics based on the minimum curvature of approximating polynomial splines

Medical Engineering and Physics

Volumn 30, Issue 2, 2008, Pages 190-198

  Dougherty, Geoff ^a   Johnson, Michael J ^b  

^a CALIFORNIA STATE UNIVERSITY CHANNEL ISLANDS   (United States)

^b KUWAIT UNIVERSITY   (Kuwait)

Author keywords

Blood vessels; Endoluminal repair; MRA; Tortuosity

Indexed keywords

ALGORITHMS; BLOOD VESSELS; DIAGNOSIS; IMAGING SYSTEMS; POLYNOMIALS;

DIGITIZATION ERRORS; ENDOLUMINAL REPAIR; POLYNOMIAL SPLINES; TORTUOSITY;

PATTERN RECOGNITION;

ABDOMINAL AORTA; ADULT; AGED; ARTICLE; AUTOANALYSIS; BLOOD VESSEL; BLOOD VESSEL TONE; CARDIOVASCULAR SYSTEM; COMPUTED TOMOGRAPHIC ANGIOGRAPHY; CONFIDENCE INTERVAL; CONTROLLED STUDY; CORRELATION COEFFICIENT; FEMALE; HUMAN; ILIAC ARTERY; IMAGE ANALYSIS; IMAGING SYSTEM; MAGNETIC RESONANCE ANGIOGRAPHY; MALE; MATHEMATICAL MODEL; PRIORITY JOURNAL; THREE DIMENSIONAL IMAGING;

AGED; ALGORITHMS; ANGIOGRAPHY; AORTA, ABDOMINAL; BLOOD VESSELS; FEMALE; HUMANS; ILIAC ARTERY; IMAGING, THREE-DIMENSIONAL; MAGNETIC RESONANCE ANGIOGRAPHY; MALE; MIDDLE AGED; MODELS, ANATOMIC; MODELS, CARDIOVASCULAR; TOMOGRAPHY, X-RAY COMPUTED; VASCULAR DISEASES;

EID: 38149036416     PISSN: 13504533     EISSN: None     Source Type: Journal    
DOI: 10.1016/j.medengphy.2007.02.009     Document Type: Article

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