QIPCM
The Quantitative Imaging for Personalized Cancer Medicine
(QIPCM) program provides a host of services, which include imaging data de-identification and transfer, centralized storage with remote access, imaging protocol development, novel image analysis tools development, as well as imaging data curation and feature extraction for large-scale imaging research studies.
QIPCM-Pipeline
Help simplify the workflow for de-identification, transfer, and centralized image collection.
Theranostics & Molecular Imaging Support
Provide support through the development of customize dosimetry tools and molecular imaging analysis.
Image Analysis & Research Support
Assist studies in quantitative analysis as well as custom tool development.
QIPCM Radiomics
We have tools to support radiomics feature extraction, meta-data curation, and data curation.
Members
Julia Publicover
Director, Translational Research and Innovation
Brad Wouters
Principal Investigator
Shailaja Sajja
Business Application Analyst
Brandon Driscoll
Research Associate II
Tina Shek
Research Associate
Jenny Lee
Research Associate II
Mike Andersen
Technical Analyst
Daniel Xun Lin
Engineer
Ivan Yeung
Engineer
Alex Gergolas
Creative DesignerTeam Photos
On-going Projects
OICR Adaptive Oncology
QIPCM is a part of the imaging program under the adaptive oncology initiative. AO is an important research arm of OICR that focuses on 2 key goals: detecting cancer early and find the right treatment at the right time.
oicr.on.ca/programs/adaptive-oncology/
OCTANE
Ontario-wide Cancer Targeted Nucleic Acid Evaluation (Clinicaltrials.gov identifier: NCT02906943). PIs: Dr. Philippe Bedard and Dr. Benjamin Haibe-Kains. QIPCM has been collecting the multi-centre radiology imaging, integrating the QIPCM webviewer into the platform, providing the infrastructure and tools to enable and guide image contouring by board-certified clinicians, and enabling radiomic analysis of contoured images.
MALMIC
Machine learning in medical imaging consortium. The purpose of the Consortium is to expedite the advancement of machine learning solutions for unaddressed requirements in medical imaging. This is achieved through collaborative efforts involving academic and clinical researchers, as well as Canadian industry partners.
Visit the MaLMIC – Machine Learning in Medical Imaging Consortium Website
Radiotheranostics
QIPCM is actively involved in the radiotheranostics activities within UHN most notably in leading the development of the dosimetry workflow utilized for the OZM-067 NET-PRRT trial which has been adapted for standard of cancer Lutathera imaging at the Princess Margaret Cancer Centre. This workflow can be used for a wide range of radiotheranostics agents (including 177Lu-PSMA) as need arises.
Theranostics – University Health Network
Automated Image and Metadata Quality Assurance
QIPCM has developed a new automated image and metadata QA tool for improving efficiency in our quality assurance workflow while increasing error detection accuracy. The tool checks metadata for both study deviations (image misregistration or missing slices) and possible PHI, in an automated approach that is unfeasible manually.
OHIF webviewer
QIPCM is collaborating with the Open Health Imaging Foundation (OHIF) Open Health Imaging Foundation (ohif.org). We provide our user with access to OHIF’s open-source, lightweight and cost-effective web-based medical imaging viewer. We receive guidance from OHIF in developing new features which would further enhance our users experience and support them towards imaging research and education