Keywords: Breast, Image Reconstruction
Motivation: DWI MRI is widely used in diagnosis and treatment evaluation of breast cancer but is prone to artifacts due to the breast's superficial location and large field of view (FOV).
Goal(s): To investigate the feasibility and performance of reduced-FOV FOCUS DWI and FOCUS DWI with deep learning-based reconstruction (DLR) for breast MRI in Asian patients with small breast volumes.
Approach: Both subjective and objective methods were used to compare the image quality of FOCUS DWI, FOCUS-DLR DWI and conventional DWI for breast cancer imaging.
Results: Our results demonstrated that FOCUS-DLR DWI showed improved image quality and higher image scores compared to conventional DWI.
Impact: FOCUS-DLR DWI enhances the visibility of lesion details, offering a novel approach to optimize breast MRI. This technique also holds promise for improving diffusion imaging in other regions of the human body, particularly small organs with surrounding tissue.
How to access this content:
For one year after publication, abstracts and videos are only open to registrants of this annual meeting. Registrants should use their existing login information. Non-registrant access can be purchased via the ISMRM E-Library.
After one year, current ISMRM & ISMRT members get free access to both the abstracts and videos. Non-members and non-registrants must purchase access via the ISMRM E-Library.
After two years, the meeting proceedings (abstracts) are opened to the public and require no login information. Videos remain behind password for access by members, registrants and E-Library customers.
Keywords