Grants and Contributions:
Title:
Full body medical image segmentation for simulation-ready finite element models
Agreement Number:
925210
Agreement Value:
$15,000.00
Agreement Date:
Mar 15, 2019 - Mar 31, 2020
Description:
We aim to develop an automated machine-learning based method to generate three-dimensional segmentations of anatomical structures from medical images in order to build patient-specific geometric models. Such a method would generate reproducible segmentations that can be used for a variety of personalized medical simulators, reducing time-to-market for these applications.
Organization:
National Research Council Canada
Expected Results:
In the short term, anticipated outcomes will be strengthened collaborations across industry, academia, and government to support research excellence. In the medium term, anticipated outcomes will be the development of new and potentially disruptive technologies with collaborators.
Location:
Montreal, Quebec, CA H3C 1K3
Reference Number:
172-2018-2019-Q4-00038
Agreement Type:
Grant
Report Type:
Grants and Contributions
Recipient Business Number:
R12194371
Recipient Type:
Academia
Recipient's Operating Name:
École de technologie supérieure
Recipient's Legal Name:
École de technologie supérieure
Federal Riding Name:
Ville-Marie--Le Sud-Ouest--Île-des-Soeurs
Federal Riding Number:
24077
Program:
Collaborative Science, Technology and Innovation Program – Ideation Fund
Program Purpose:
The Ideation Fund is intended to encourage, test and validate transformative research ideas generated by teams of NRC scientific personnel and external collaborators with complementary capabilities, acting as a demonstration phase for a continually-evolving suite of research and development (R&D) deliverables at the NRC. The fund supports exploratory research through two mechanisms: the New Beginnings Initiative and the Small Teams Initiative.
NAICS Code:
541710 - R&D in the physical, engineering and life sciences