The QIPCM advanced Imaging Core Lab is an integral part of TECHNA, a health technology productization institute at UHN. There are currently 61 projects on the QIPCM platform transferring images from over 50 hospitals and research institutions around the world.
Help simplify the workflow for de-identification, transfer and centralized image collection from centers around the world. A high-speed and customizable computing platform is available to securely review the images from anywhere in the world. Remote image review and access is possible through two options: (a) Virtual desktop infrastructure through VMware. This technology enables trial investigators globally to remotely access the central image repository and perform image analysis using the existing tools or by installation of additional tools. (b) Image access via Web based DICOM viewer. The viewer is based upon the open source viewer OHIF with additional functionality provided by the QIPCM team. Central image review and analysis for global investigators is possible through this option as well. All image data remains within the QIPCM/UHN network with both options.
De-Identification, Data Transfer and Image Quality
The webinar will focus on:
DICOM Image Anonymization
How the DICOM tags are altered or removed in order to ensure patient data is removed and what new study identifiers are added
How the secure encrypted connection sends DICOM images from remote sites to the QIPCM servers within the University Health Network
Image Quality Assurance
What happens to the images once they arrive, how are they logged and how do we ensure only the right people have access to them.
Connecting Remote Investigators with their Clinical Trial Imaging via QIPCM VDI
This webinar focuses on how the QIPCM Virtual Desktop Infrastructure allows remote investigators to securely connect to their QIPCM Virtual Machine and access their trial images.
This webinar also discusses:
How we ensure that only the right person sees the right images and how this is audit tracked for regulatory compliance.
How we enable secure data collaboration and sharing between investigators and institutions.
Some of the tools available on the QIPCM infrastructure for image review and analysis.
Provides a sandbox for academic researchers, industry and startups interested in pursuing AI-related research and enables collaboration between industry and academic institutions. The QIPCM platform provides a supportive framework for the development, testing and validation of algorithms designed to solve problems in the domain of medical imaging using machine learning techniques. Large size datasets can be ingested into the QIPCM platform along with other accompanying information such as labels and contours. The sandbox adheres to privacy and security regulations and allows the data sponsor to provide or revoke access as needed.
Enables centralized radiotherapy plan review.
Using the radiomics support tool MIRA. Developed at Princess Margaret Hospital, MIRA is a suite of software tools to simplify processes in radiation oncology and medical imaging studies through a pipeline which integrates different software such as RT planning, radiomics feature extraction and other similar software. It facilitates data curation across different imaging databases as well as meta-data extraction.
IMAGING PROTOCOL DEVELOPMENT SUPPORT
Is available to provide consultation to study investigators in the development of imaging protocols to ensure a study collects images in an optimal way. We have expertise and experience in dealing with the challenges of multi-site clinical trials and trials involving multiple scanners.
IMAGE ANALYSIS AND RESEARCH SUPPORT
QIPCM’s team of imaging experts can assist studies in a quantitative image analysis as well as custom tool development.
QIPCM can design and perform Scanner QA procedures focused on harmonizing imaging results from multicentre clinical trials. We have expertise in multiple areas, including PET-CT/MR, as well as SPECT, and Dynamic Contrast-Enhanced CT/MR.
Explore some of the ways in which QIPCM can help facilitate various types of clinical trials: logistically, easily, accurately, and securely.