Supporting Organizations

ImNO would like to thank the current and past industry, commercialization and research networks for their support.

This year's supporting organizations are:

OICR Imaging Program

Program Co-Director: Dr. Aaron Fenster and and Martin Yaffe
Sponsor: Ontario Institute of Cancer Research (OICR)

The OICR Imaging Program (OICR IP) accelerates the translation of research into the development of new imaging innovations for earlier cancer detection, diagnosis and treatment through four major projects; probe development and commercialization, medical imaging instrumentation and software, pathology validation, and imaging for clinical trials.

OICR IP facilitates improved screening and treatment options for cancer patients by streamlining advances in medical imaging through the complex pipeline from discovery through clinical translation and ultimately to clinical use.

 

Image-guided Device Interventions for Cardiovascular Disease

Sponsor: Ontario Research Fund (ORF)

Lead Researcher: Dr. Graham Wright

With advances in early identification and management of risk factors, combined with effective response to acute events, cardiovascular diseases have evolved from an acute killer to a chronic disease challenge. In recent years, there have been major advances in less invasive treatments. For minimally invasive device therapeutics, imaging and tracking technologies, along with the development of image-modality compatible tools, have unique roles in planning and guiding interventions, as well as monitoring functional results. In electropathophysiology, imaging will guide positioning of pacing devices, identify ablation targets, and direct therapy through fusion of device representations with maps of myocardial structure and function. Similar advances facilitate planning and guidance of both percutaneous and minimally invasive valve repair/replacement and catheter-based revascularization of chronic total occlusions. Researchers at Sunnybrook and Robarts Research Institutes, working with local, national, and multinational diagnostic imaging and interventional device companies, are advancing the state-of-the-art in image acquisition and analysis with ultrasound, MRI, x-ray, and CT methods, including the design of visualization platforms and associated communication and control interfaces for interventional guidance, facilitating fusion and manipulation of prior and real-time imaging and device information. The ultimate goal is more effective utilization of imaging to improve outcomes for those suffering from chronic ischemia, complex arrhythmias, and heart failure related to structural heart diseases.

Machine Learning in Medical Imaging Consortium (MaLMIC)

Machine Learning for Medical Imaging Working Group: Aaron Fenster, Anne Martel, Julia Publicover, Amber L. Simpson, Aaron Ward, Martin Yaffe

The Consortium was launched to accelerate research and development of machine learning solutions for unmet needs in medical imaging through collaborations between academic and clinical researchers, and with Canadian industry.

 

Scintica Instrumentation Inc.

Scintica Inc

 

 

Scintica's mission is to link scientists with the right precision tools to further research by providing high-value instrumentation and research solutions to scientists and the preclinical research community. We are a leading supplier of medical research solutions and provide elite applications, technical support, and a platform for today's scientists to share their scientific findings.

We carry a diverse portfolio of products, ranging from imaging systems (PET, CT, MRI, optical, DEXA, intravital microscopy, photoacoustic and high-frequency ultrasound systems), lab equipment, instruments, workstations, incubators, tissue culture analysis, and much more. 

 

 

The following organizations have supported ImNO in the past.

Industry

  • 7D Surgical
  • ClaroNav
  • Fujifilm VisualSonic, Inc
  • GE Healthcare
  • Modus
  • NVIDIA
  • Philips
  • Shelley Medical Imaging Technologies
  • Siemens
  • Synaptive

 

Research and commercialization organizations

  • Biomedical Computing Laboratory, Queen’s University
  • Biomedical Imaging Research Centre, Western University
  • BrainsCAN
  • Building a Better Brain: An Ontario Neuroimaging Consortium
  • Canadian Atherosclerosis Imaging Network
  • Cancer Care Ontario Cancer Imaging Network of Ontario (CCO-CINO)
  • Cardiac Arrhythmia Network of Canada (CANet)
  • Centre for Imaging Technology Commercialization (CIMTEC)
  • Development & Translation of MRI Technology for Neuro-Interventional Applications
  • Development of Novel Therapies for Bone and Joint Diseases
  • Effective Systems for Procedure Specific Healthcare Simulation (Simulation)
  • Focused Ultrasound Devices for Noninvasive Surgery and Drug Delivery (FUSD)
  • Heart Failure: Prevention through Early Detection Using New Imaging Methods
  • Hyperpolarized 13C MRI of Placental Metabolic Abnormalities Resulting from the Western Diet (HIH-NICHD)
  • Image-Guided Device Interventions for Cardiovascular Disease
  • Machine Learning in Medical Imaging Consortium (MaLMIC)
  • Medical Imaging Trial Network of Canada (MITNEC)
  • Next-Generation Innovations in Ultrasonics (N-Genius)
  • Ontario Consortium for Adaptive Interventions in Radiation Oncology (OCAIRO) 
  • Ontario Consortium for Small Animal Imaging (OCSAI)
  • Ontario Consortium in Imaging for Cardiovascular Therapeutics (OCICT) 
  • Ontario Institute for Cancer Research Imaging Pipeline Platform (OICR-IPP)
  • Ontario Institute for Cancer Research Imaging Program (OICR-IP)
  • Ontario Institute for Cancer Research Imaging Translation Platform (OICR-ITP)
  • Ontario Institute for Cancer Research One Millimetre Cancer Challenge Program (OICR-1mmCC)
  • Ontario Institute for Cancer Research Smarter Imaging Program (OICR-SIP)
  • Ontario Network for Advanced Medical Imaging Detectors (ONAMID)
  • Ontario Network of Excellence for Translation of Hyperpolarized MRI Technologies
  • Ontario Preclinical Imaging Consortium (OPIC)
  • Western University’s Bone and Joint Institute