Computational methods for quantifying in vivo muscle fascicle curvature from ultrasound images

Journal of Biomechanics

Volumn 44, Issue 14, 2011, Pages 2538-2543

  Namburete, Ana I L ^a   Rana, Manku ^a   Wakeling, James M ^a  

^a SIMON FRASER UNIVERSITY   (Canada)

Author keywords

Curvature; Feature extraction; Muscle fascicles

Indexed keywords

AUTOMATED METHODS; CURVATURE; DISTRIBUTION GRID; IN-VIVO; ISOMETRIC CONTRACTIONS; KERNEL SIZE; LOCAL CURVATURE; MEDIAL GASTROCNEMIUS; MULTISCALES; MUSCLE FASCICLES; PHYSIOLOGICAL RANGE; STANDARD ERRORS; SYNTHETIC IMAGES; ULTRASOUND IMAGES; ULTRASOUND PROBES; VESSEL ENHANCEMENT; WAVELET-BASED METHODS;

FEATURE EXTRACTION; IMAGE PROCESSING; PROBES; ULTRASONICS;

MUSCLE;

ACCURACY; ADULT; ARTICLE; AUTOMATION; B SCAN; CONTRAST TO NOISE RATIO; CONTROLLED STUDY; ELECTRICAL PARAMETERS; GASTROCNEMIUS MUSCLE; HUMAN; IMAGE PROCESSING; MALE; MUSCLE FASCICLE; MUSCLE FASCICLE CURVATURE; MUSCLE ISOMETRIC CONTRACTION; MUSCULOSKELETAL SYSTEM PARAMETERS; NORMAL HUMAN; PRIORITY JOURNAL; QUANTITATIVE ANALYSIS; SENSITIVITY AND SPECIFICITY; SKELETAL MUSCLE; TORQUE; WAVELET ANALYSIS;

BIOMECHANICS; COMPUTER SIMULATION; FASCICULATION; HUMANS; MALE; MUSCLE, SKELETAL; ULTRASONICS;

EID: 81155160908     PISSN: 00219290     EISSN: 18732380     Source Type: Journal    
DOI: 10.1016/j.jbiomech.2011.07.017     Document Type: Article

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