Prostate cancer imaging holds the potential to support clinicians throughout the clinical workflow. This talk will introduce our recent work evaluating localized prostate cancer imaging based on fusion to a histological reference standard, focusing in particular on using multiparametric MRI to contour target volumes for targeting prostate cancer treatments.
This talk will describe the technical developments leading to the creation of an accurately registered histological reference standard for the location of prostate cancer tumour boundaries on MRI, along with a statistical exploration of the importance of registration accuracy for imaging evaluation studies using registered reference standards.
I will also present our preliminary results leveraging this reference standard to measure MRI signal contrast at tumour boundaries and to estimate appropriate clinical target volume treatment margins necessary to achieve coverage of histologically defined cancer.
About the speaker:
Eli Gibson is a PhD candidate at the Robarts Research Institute in The University of Western Ontario’s Graduate Program in Biomedical Engineering. His research interests include imaging-histology fusion for imaging evaluation and clinical knowledge translation, as well as modeling uncertainty in medical image analysis problems.