A5040246152- Advanced MRI Techniques and Applications
- Medical Imaging Techniques and Applications
- Lung Cancer Diagnosis and Treatment
- Atomic and Subatomic Physics Research
- MRI in cancer diagnosis
- Cancer, Hypoxia, and Metabolism
- Radiomics and Machine Learning in Medical Imaging
- Cancer Risks and Factors
- Global Cancer Incidence and Screening
University of Manchester
2017-2019
Cancer Imaging Centre
2017
Engineering and Physical Sciences Research Council
2017
Sunderland Royal Hospital
2010
Hypoxia is associated with poor prognosis and predictive of response to cancer treatments, including radiotherapy. Developing noninvasive biomarkers that both detect hypoxia prior treatment track change in tumor following required urgently.
Previous work has shown that combining dynamic contrast-enhanced (DCE)-MRI and oxygen-enhanced (OE)-MRI binary enhancement maps can identify tumor hypoxia. The current proposes a novel, data-driven method for mapping tissue oxygenation perfusion heterogeneity, based on clustering DCE/OE-MRI data.
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