Document Type
Article
Disciplines
3. MEDICAL AND HEALTH SCIENCES, Radiology, nuclear medicine and medical imaging
Abstract
Severe radiation toxicity can continue years after the completion of radiotherapy for prostate cancer patients. Currently, it is impossible to predict before treatment which patients will experience these long-term side effects. New approaches based on vibrational spectroscopy have advantages over lymphocyte and genomic assays in terms of minimal sample preparation, speed and cost. A high throughput method has been developed to measure Raman spectra from liquid plasma in a cover glass bottomed 96 well plate. However, the Raman spectra can show contributions from glass and water. The current study aims to optimise pre-processing steps to improve classification performance.
DOI
https://doi.org/10.1117/12.2647843
Recommended Citation
Behl, Isha; Medipally, Dinesh; Talbot, Chris; Meade, Aidan; and Lyng, Fiona, "Optimisation of Raman Spectral Processing for Classification of Radiotherapeutic Toxicity" (2023). Conference papers. 16.
https://arrow.tudublin.ie/radcon/16
Funder
Health Research Board Investigator Led Projects 2019, ILP2019-114. The REQUITE study received funding from the European Union's Seventh Framework Programme for research, technological development, and demonstration under grant agreement no. 601826.
Creative Commons License
This work is licensed under a Creative Commons Attribution-Share Alike 4.0 International License.
Publication Details
https://www.spiedigitallibrary.org/conference-proceedings-of-spie/12387/123870I/Optimisation-of-Raman-spectral-processing-for-classification-of-radiotherapeutic-toxicity/10.1117/12.2647843.short
https://doi.org/10.1117/12.2647843