Sangam: A Confluence of Knowledge Streams

Monte Carlo modelling of Raman scattering in heterogeneous breast tissue

Show simple item record

dc.contributor Harries, Tim
dc.contributor Stone, Nick
dc.creator Moran, L
dc.date 2022-10-31T09:14:36Z
dc.date 2022-10-31
dc.date 2022-10-30T19:23:46Z
dc.date 2022-10-31T09:14:36Z
dc.date.accessioned 2023-02-23T12:17:57Z
dc.date.available 2023-02-23T12:17:57Z
dc.identifier http://hdl.handle.net/10871/131502
dc.identifier.uri http://localhost:8080/xmlui/handle/CUHPOERS/258696
dc.description Breast cancer is the most common cancer for a woman to develop in her lifetime. By detecting breast cancer at an early stage, the symptoms can be easier to manage and the patient should have the best chance of survival. The current gold standard for breast cancer detection is a mammogram, followed by a biopsy and histopathology. This is effective but can also be expensive and invasive. A promising addition to the diagnostic pathway uses vibrational spectroscopy which utilises non-elastic interactions between light and tissue. Raman spectroscopy has been used widely in industry and research: it is a non-invasive and chemically specific technique. This spectroscopic technique has been proven to be applicable to the detection of microcalcifications in breast tissue to aid in diagnosing breast cancer and potentially reducing the number of biopsies required. This thesis involves the development of algorithms to model Raman scattering in biological tissues to aid in the improvement of breast cancer detection. The technique used is the numerical modelling method Monte Carlo Radiative Transport (MCRT) to effectively simulate the transport of light through turbid media. There is a need for a fast and flexible code capable of modelling a variety of Raman source materials, tissue types and shapes, input laser beams and detectors. This rapid simulation of light transport through breast tissue can provide more information and insight to complement the practical measurements and analysis of experimental work, which can be used to improve future experiments and probes. By implementing physically correct Raman scattering into a fast and powerful code, and utilising work from the field to estimate the optical properties of tissues, simulations to supplement experimental work and predict potential clinical results are performed and analysed.
dc.publisher University of Exeter
dc.publisher Physics
dc.rights http://www.rioxx.net/licenses/all-rights-reserved
dc.subject Raman spectroscopy
dc.subject Monte Carlo
dc.subject Breast cancer
dc.title Monte Carlo modelling of Raman scattering in heterogeneous breast tissue
dc.type Thesis or dissertation
dc.type Phd in Physics
dc.type Doctoral
dc.type Doctoral Thesis


Files in this item

Files Size Format View
MoranLpdf 16.39Mb application/pdf View/Open

This item appears in the following Collection(s)

Show simple item record

Search DSpace


Advanced Search

Browse