Tendon Motion Tracking Based on Global Motion Trend for Ultrasound Image Sequence

  • 許 建涵

Student thesis: Master's Thesis


Ultrasound system plays an important role in soft tissue examination which has been widely used in clinical tendinopathy evaluation In human hands tendon motion estimation in ultrasound image sequences is of great significance for investigating tendinopathies including trigger finger and tennis elbow However the difficulties of tendon motion tracking for ultrasound image sequences not only suffer from temporal decorrelation of speckle patterns shadow artifact and other factors but also confused by the hard-tracking fibrous structure of tendons Unlike traditional tracking methods which refer to the information of the previous frames or of the first frame only this study presents two novel strategies based on global motion trend for tendon motion estimation in elbows and fingers to overcome the above-mentioned problems The first one is a 3-D global trend-based speckle tracking (GTB-ST) scheme which searches the best speckle feature point for overall tendon position tracking The second one is an integrated 2-D optical flow trend-based multi-kernel block matching (OFTB-MKBM) scheme with subpixel motion tracking that can handle both small and large displacements at different instantaneous velocities during the entire motion sequence Manual tracking in common extensor tendon of elbow and cadaver experiment in flexor digitorum profundus (FDP) tendon of middle finger were measured to validate the accuracies of proposed techniques Experimental results revealed that the proposed methods are with precise and reliable motion estimation in long B-mode tendon ultrasound image sequences
Date of Award2015 Aug 27
Original languageEnglish
SupervisorYung-Nien Sun (Supervisor)

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