Sedigheh Dargahi (École de technologie supérieure ,Canada)
Sylvain Bouix (École de technologie supérieure ,Canada)
Project Description
The aim of this project is to mitigate susceptibility distortions in dMRI dataset by offering a deep learning solution as an alternative of traditional state-of-the-arts methods, only using a single blip-up or blip-down image.
Objective
Objective A. Simplifying dMRI acquisition protocols by utilizing just one of the blip-up or blip-down image as input for the model. This approach can reduce scan time, potentially halving the duration of dMRI acquisitions.
Objective B. Facilitating more precise analysis and promoting advancements in our understanding of brain by equipping researchers with more efficient and accurate tools.
Draft Status
Ready - team will start page creating immediately
Category
Other
Presenter Location
Online
Key Investigators
Project Description
The aim of this project is to mitigate susceptibility distortions in dMRI dataset by offering a deep learning solution as an alternative of traditional state-of-the-arts methods, only using a single blip-up or blip-down image.
Objective
Objective A. Simplifying dMRI acquisition protocols by utilizing just one of the blip-up or blip-down image as input for the model. This approach can reduce scan time, potentially halving the duration of dMRI acquisitions.
Objective B. Facilitating more precise analysis and promoting advancements in our understanding of brain by equipping researchers with more efficient and accurate tools.
Approach and Plan
No response
Progress and Next Steps
No response
Illustrations
No response
Background and References
No response