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I am working in computational modelling of quantitative MRI to establish new non-invasive biomarkers for cancer.
My fellowship leverages VERDICT to develop innovative MRI methods to reveal new non-invasive markers of cancer pathology. In particular, I develop biophysical models of tumour tissue that support non-invasive estimates of key characteristics of tissue architecture including those that currently guide diagnosis, grading, and treatment assignment through classical histology. In contrast to classical histology, such an approach avoids unnecessary interventions like biopsies. Moreover, the models combine with macroscopic imaging to provide maps of histological features over the whole organ, thus evading false-positives from poor biopsy targeting. In contrast to current imaging techniques, the new model-based imaging techniques provide much greater specificity associating contrast with particular tissue changes thus providing much better information on which to assign treatment. The ultimate goal is to enable non-invasive cancer detection, staging and grading entirely through harmless imaging.
My fellowship leverages VERDICT to develop innovative MRI methods to reveal new non-invasive markers of cancer pathology. In particular, I develop biophysical models of tumour tissue that support non-invasive estimates of key characteristics of tissue architecture including those that currently guide diagnosis, grading, and treatment assignment through classical histology. In contrast to classical histology, such an approach avoids unnecessary interventions like biopsies. Moreover, the models combine with macroscopic imaging to provide maps of histological features over the whole organ, thus evading false-positives from poor biopsy targeting. In contrast to current imaging techniques, the new model-based imaging techniques provide much greater specificity associating contrast with particular tissue changes thus providing much better information on which to assign treatment. The ultimate goal is to enable non-invasive cancer detection, staging and grading entirely through harmless imaging.
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论文共 35 篇作者统计合作学者相似作者
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Magnetic resonance in medicine (2024)
medRxiv (Cold Spring Harbor Laboratory) (2021)
S. Singh, H. Rogers,B. Kanber, J. Clemente,H. Pye, A. Grey, E. Dineen,G. Shaw,A. Haider, A. Freeman,D. Atkinson,C. M. Moore,
Mrishta Brizmohun Appayya,Edward W Johnston,Arash Latifoltojar,James O’Callaghan,Elisenda Bonnet-Carne,Hayley Pye,Dominic Patel,Susan Heavey,Alistair Grey, Sebastien Ourselin,David Hawkes, Caroline Moore,
semanticscholar(2017)
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