Title :
Ultrasonic image processing for tendon injury evaluation
Author :
Kim, Nam-Deuk ; Booth, Larry ; Amin, Viren ; Lim, Jaein ; Udpa, Satish
Author_Institution :
Dept. of Electr. & Comput. Eng., Iowa State Univ., Ames, IA, USA
Abstract :
Image texture analysis techniques have been applied for evaluating tendon injuries in racehorses. Ultrasound images from superficial and deep digital flexor tendons have been characterized and a measure for quantifying injury grade has been proposed. Wavelet-based texture segmentation and classification algorithms have been developed for quantification of the injury grades. Discrete wavelet packet frames and standard discrete wavelet transforms are used to measure the percentage of the tendon injury and tendon fiber alignment, respectively. Results demonstrating the effectiveness of the approach in predicting the percentage of the tendon injury as well as the degree of tendon fiber alignment are presented
Keywords :
biomedical ultrasonics; discrete wavelet transforms; image classification; image segmentation; image texture; medical image processing; muscle; veterinary medicine; wavelet transforms; classification algorithms; deep digital flexor tendons; discrete wavelet packet frames; image texture analysis techniques; injury grade; quantification; racehorses; standard discrete wavelet transforms; superficial digital flexor tendons; tendon fiber alignment; tendon injury; tendon injury evaluation; ultrasonic image processing; ultrasound images; wavelet-based texture segmentation; Classification algorithms; Discrete wavelet transforms; Image processing; Image segmentation; Image texture analysis; Injuries; Tendons; Ultrasonic imaging; Ultrasonic variables measurement; Wavelet packets;
Conference_Titel :
Time-Frequency and Time-Scale Analysis, 1998. Proceedings of the IEEE-SP International Symposium on
Conference_Location :
Pittsburgh, PA
Print_ISBN :
0-7803-5073-1
DOI :
10.1109/TFSA.1998.721406
