Solanki Mitra

(she/her)

BTech Msc (Glasgow)

Research

Thesis

Microstructural imaging of the tumour microenvironment: Towards virtual biopsy of prostate cancer.

 ‘Microstructural Imaging of The Tumour Environment: Towards Virtual Biopsy of Prostate Cancer.’

My project involves building an initial study of acquiring non-invasive comprehensive characterization of the prostate gland with the most extensive MRI protocol to date and state-of-the-art image analysis algorithms developed at the Schools of Engineering and Computer Science. My work encompasses acquiring MRI images in healthy volunteers and patients with prostate tumors to analyze disease detection and translate computational models of underlying tumor microstructure including stromal content, vasculature, and epithelium, in high-quality MRI scans. 

Funding sources

EPSRC - The Engineering and Physical Sciences Research Council is a British Research Council that provides government funding for grants to undertake research and postgraduate degrees in engineering and the physical sciences, mainly to universities in the United Kingdom.

UKRI- UK Research and Innovation is a non-departmental public body of the Government of the United Kingdom that directs research and innovation funding, funded through the science budget of the Department for Science, Innovation and Technology.

Biography

I am Solanki Mitra. I am a PhD research student in the IPOCH- Institute of Precision Oncology Cardiff Hub at Cardiff University. My research topic is-  ‘Microstructural Imaging of The Tumour Environment: Towards Virtual Biopsy of Prostate Cancer.’ My project involves building an initial study of acquiring non-invasive comprehensive characterization of the prostate gland with the most extensive MRI protocol to date and state-of-the-art image analysis algorithms developed at the Schools of Engineering and Computer Science. My work encompasses acquiring MRI images in healthy volunteers and patients with prostate tumors to analyze disease detection and translate computational models of underlying tumor microstructure including stromal content, vasculature, and epithelium, in high-quality MRI scans. 

As a result, I use the state-of-the-art MRI facilities at CUBRIC the state-of-the-art SPAARC-radiomics algorithm package, and the selection of software like VELOCITY for medical image analysis. 

I have completed my Masters in Data Science at the University of Glasgow. The primary focus during my Master's was Deep Learning, Machine Learning, Human Centered Security, Enterprise Cyber Security, and Research Methods and Techniques.

I have previously worked as a Software Engineer at Tech Mahindra Ltd, India, in the BI or Business Intelligence Domain.

Supervisors

Emiliano Spezi

Professor of Healthcare Engineering
Director of Research