Tendon extracellular matrix damage detection and quantification using automated edge detection analysis

Journal of Biomechanics

Volumn 46, Issue 16, 2013, Pages 2844-2847

  Ros, Stephen J ^a   Andarawis Puri, Nelly ^a   Flatow, Evan L ^a  

^a MOUNT SINAI SCHOOL OF MEDICINE   (United States)

Author keywords

Automated damage analysis; Edge detection analysis; Tendinopathy; Tendon extracellular matrix damage; Tendon fatigue damage; Tendon overuse injury

Indexed keywords

COLLAGEN-FIBRIL ORIENTATION; DAMAGE ANALYSIS; DETECTION AND QUANTIFICATIONS; EXTRACELLULAR MATRIX DAMAGE; OVERUSE INJURY; QUANTITATIVE ASSESSMENTS; TENDINOPATHY; TYPE I COLLAGEN FIBRILS;

COLLAGEN; DAMAGE DETECTION; EDGE DETECTION; FATIGUE DAMAGE;

TENDONS;

COLLAGEN FIBRIL; COLLAGEN TYPE 1;

ALGORITHM; ANIMAL TISSUE; ARTICLE; AUTOMATED EDGE DETECTION ANALYSIS; CELL DAMAGE; CELL FUNCTION; CONTROLLED STUDY; EXTRACELLULAR MATRIX; FEMALE; IMAGE ANALYSIS; IMAGE PROCESSING; IMAGE QUALITY; INJURY SEVERITY; NONHUMAN; PRIORITY JOURNAL; QUANTITATIVE ANALYSIS; RAT; TENDINITIS; TENDON EXTRACELLULAR MATRIX DAMAGE; TENDON INJURY;

AUTOMATED DAMAGE ANALYSIS; EDGE DETECTION ANALYSIS; TENDINOPATHY; TENDON EXTRACELLULAR MATRIX DAMAGE; TENDON FATIGUE DAMAGE; TENDON OVERUSE INJURY;

ALGORITHMS; ANIMALS; ARTIFACTS; COLLAGEN TYPE I; EXTRACELLULAR MATRIX; FATIGUE; FEMALE; IMAGE PROCESSING, COMPUTER-ASSISTED; MODELS, BIOLOGICAL; RATS; RATS, SPRAGUE-DAWLEY; TAIL; TENDINOPATHY; TENDON INJURIES; TENDONS;

EID: 84887407229     PISSN: 00219290     EISSN: 18732380     Source Type: Journal    
DOI: 10.1016/j.jbiomech.2013.09.002     Document Type: Article

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