Overview
I am a final year PhD student in the Centre for Medical Imaging (CMI) at UCL. My supervisors are Dr Anna Barnes, director of King’s Technology Evaluation Centre (KiTEC) at KCL, and Prof Gary Zhang, head of the Computational Imaging Group (CIG) at UCL. My work is focussed around applying statistics and deep learning to quantitative whole-body magnetic resonance imaging (WB-MRI) in the context of metastatic cancer.
Variability of ADC estimates between scanners from whole-body imaging is dominated by within-scanner variance
We investigate the reliability of whole-body imaging apparent diffusion coefficient (ADC) estimates from subjects tested and retested within- and between-scanners from different vendors with minimal differences in acquisition protocol and post-acquisition analysis. We show substantial within-subject variation in extracranial ADC estimates within- and between-scanners as measured by Limits of Agreement. We additionally show between-scan variability between scanners is dominated by between-scan variability within a scanner. We therefore conclude a post-acquisition method for reducing within-scanner variation is required to improve the reliability of ADC estimates.
See the abstract presentation I gave at ISMRM 2022 on youtube:
Automatic detection of Nyquist ghosts in whole-body diffusion weighted MRI using deep learning
Despite its potential as an imaging biomarker in assessing tumor response to therapy, use of ADC as a quantitative endpoint is not routine in clinical practice. One factor that limits the usefulness of ADC is the presence of artifacts in the constituent diffusion-weighted imaging (DWI) data. In this study, we propose a supervised deep-learning approach to detect the presence of Nyquist ghosts in axial DWI slices of the abdomen, achieving a test accuracy of 81.5%. The detection and removal of these artifacts could help improve the reproducibility of quantitative ADC measurements.
See the abstract presentation I gave at ISMRM 2021 on youtube:
Education
2019-present: PhD in Medical Imaging, University College London
2018-2019: MRes in Medical Imaging, University College London
2013-2017: MSci in Physics, University of Birmingham