An ultrasonography-based approach for tissue modelling to inform phototherapy treatment strategies

Kallepalli, A. , Halls, J., James, D. B. and Richardson, M. A. (2022) An ultrasonography-based approach for tissue modelling to inform phototherapy treatment strategies. Journal of Biophotonics, 15(4), e202100275. (doi: 10.1002/jbio.202100275) (PMID:35044094)

Abstract

Currently, diagnostic medicine uses a multitude of tools ranging from ionising radiation to histology analysis. With advances in piezoelectric crystal technology, high-frequency ultrasound imaging has developed to achieve comparatively high resolution without the drawbacks of ionising radiation. This research proposes a low-cost, non-invasive and real-time protocol for informing photo-therapy procedures using ultrasound imaging. We combine currently available ultrasound procedures with Monte Carlo methods for assessing light transport and photo-energy deposition in the tissue. The measurements from high-resolution ultrasound scans is used as input for optical simulations. Consequently, this provides a pipeline that will inform medical practitioners for better therapy strategy planning. While validating known inferences of light transport through biological tissue, our results highlight the range of information such as temporal monitoring and energy deposition at varying depths. This process also retains the flexibility of testing various wavelengths for individual-specific geometries and anatomy.

• Item Type: Articles
• Status: Published
• Refereed: Yes
• Glasgow Author(s) Enlighten ID: Kallepalli, Dr Akhil
• Authors: Kallepalli, A., Halls, J., James, D. B., and Richardson, M. A.
• College/School: College of Science and Engineering > School of Physics and Astronomy
• Journal Name: Journal of Biophotonics
• Publisher: Wiley
• ISSN: 1864-063X
• ISSN (Online): 1864-0648
• Published Online: 19 January 2022
• Copyright Holders: Copyright © 2022 The Authors
• First Published: First published in Journal of Biophotonics 15(4): e202100275
• Publisher Policy: Reproduced under a Creative Commons License
• Data DOI: 10.17862/cranfield.rd.11603883.v2