Stories
» Go to news mainSystems and methods for reconstruction of dynamic magnetic resonance imaging data
New paper from Dr. James Rioux and Dr. Steven Beyea. See full text.
Abstract
Systems and methods are provided for performing automated reconstruction of a dynamic MRI dataset that is acquired without a fixed temporal resolution. On one or more image quality metrics (IQMs) are obtained by pro cessing a subset of the acquired dataset. In one example implementation, at each stage of an iterative process, one or more IQMs of the image subset is computed, and the parameters controlling the reconstruction and / or the strategy for data combination are adjusted to provide an improved or optimal image reconstruction. Once the IQM of the image subset satisfies acceptance criteria based on an estimate of the overall temporal fidelity of the reconstruction, the full reconstruction can be performed, and the estimate of the overall temporal fidelity can be reported based on the IQM at the final iteration.
Recent News
- Program Administrator Award of Excellence
- Dr. Siân Iles interviewed on CBC's Information Morning
- Dr. Steven Beyea and Dr. Adela Cora featured in the latest Beyond Research podcast from ResearchNS
- Dr. Andreu Costa recognized as a CARJ 2023 Outstanding Reviewer!
- Department Faculty awarded EJNMMI Physics Best Paper 2023
- Dr. Hodgson wins world entrepreneurship contest
- Congratulations to the 2023 David Fraser Radiology Research Foundation Summer Studentship recipients!
- Congratulations, Dr. Brewer! The Charles Lo Prize in Radiology Research
Comments
comments powered by Disqus