Speed-resolved perfusion imaging using multi-exposure laser speckle contrast imaging and machine learning.

Martin Hultman Marcus Larsson Tomas Strömberg Ingemar Fredriksson

Published in: Journal of biomedical optics (2023)

The ANN, trained on modeled data, calculates speed-resolved perfusion in absolute units from multi-exposure speckle contrast. This method facilitates the physiological interpretation of measurements using MELSCI and may increase the clinical impact of the technique.

Keyphrases

contrast enhanced
machine learning
high resolution
magnetic resonance
magnetic resonance imaging
electronic health record
computed tomography
high speed
body composition
data analysis