UltraTimTrack: a Kalman-filter-based algorithm to track muscle fascicles in ultrasound image sequences.

ABSTRACT:

Background

Brightness-mode (B-mode) ultrasound is a valuable tool to non-invasively image skeletal muscle architectural changes during movement, but automatically tracking muscle fascicles remains a major challenge. Existing fascicle tracking algorithms either require time-consuming drift corrections or yield noisy estimates that require post-processing. We therefore aimed to develop an algorithm that tracks fascicles without drift and with low noise across a range of experimental conditions and image acquisition settings.

Methods

We applied a Kalman filter to combine fascicle length and fascicle angle estimates from existing and openly-available UltraTrack and TimTrack algorithms into a hybrid algorithm called UltraTimTrack. We applied the hybrid algorithm to ultrasound ima

SUBMITTER: van der Zee TJ 

PROVIDER: S-EPMC11784871 | biostudies-literature | 2025

REPOSITORIES: biostudies-literature