Machine learning-enabled quantitative ultrasound techniques for tissue differentiation.

Journal: Journal of medical ultrasonics (2001)

Published Date: Jul 15, 2022

Abstract

PURPOSE: Quantitative ultrasound (QUS) infers properties about tissue microstructure from backscattered radio-frequency ultrasound data. This paper describes how to implement the most practical QUS parameters using an ultrasound research system for tissue differentiation.

Authors

Hannah Thomson

Centre for Medical and Industrial Ultrasonics, University of Glasgow, University Avenue, Glasgow, UK. s.yang@napier.ac.uk.
Shufan Yang

School of Engineering, University of Glasgow, Glasgow, UK.
Sandy Cochran

Centre for Medical and Industrial Ultrasonics, University of Glasgow, University Avenue, Glasgow, UK.

Keywords

Algorithms Humans Machine Learning Neoplasms Phantoms, Imaging Ultrasonography

External Resources

View on PubMed Access via DOI PubMed (35840774)

Machine learning-enabled quantitative ultrasound techniques for tissue differentiation.

Abstract

Authors

Keywords

External Resources

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