Estimating skeletal muscle fascicle curvature from B-mode ultrasound image sequences

Estimating skeletal muscle fascicle curvature from B-mode ultrasound image sequences

We address the problem of tracking in vivo muscle fascicle shape and length changes using ultrasound video sequences. Quantifying fascicle behavior is required to improve understanding of the functional significance of a muscle's geometric properties. Ultrasound imaging provides a noninvasive m...

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Bibliographic Details
Main Authors: John Darby, Baihua Li, Nicholas Costen, Ian Loram, Emma Hodson-Tole
Format: Default Article
Published: 2013
Subjects:
Artificial intelligence not elsewhere classified
Other information and computing sciences not elsewhere classified
Image analysis
Importance sampling
KLT
Locomotion
Medical imaging
Tracking
Particle filtering
Artificial Intelligence and Image Processing
Information and Computing Sciences not elsewhere classified
Online Access:https://hdl.handle.net/2134/20257
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Internet

https://hdl.handle.net/2134/20257

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