Keywords: AI Diffusion Models, DWI/DTI/DKI
Motivation: Diffusion-weighted magnetic resonance imaging (DW-MRI) is essential for rectal cancer imaging.
Goal(s): This study evaluated the image quality, rectal contours, lesion visibility of low-field multiple sensitivity diffusion-weighted imaging enhanced with deep learning reconstruction , assessing their signal-to-noise ratio and contrast-to-noise ratio .
Approach: 60 patients who underwent rectal MR examination at our hospital since January 2024 and were confirmed to have rectal adenocarcinoma by pathology were included.
Results: The SNR , CNR , image quality, rectal contour, and lesion visibility of FOCUS-MUSE images with DL were superior to those without DL (p < 0.01 for SNR, CNR, image quality, rectal contour, p = 0.02 for lesion visibility).
Impact: This study shows that DLR-based FOCUS-MUSE DWI enhances image quality, rectal contour, lesion visibility, SNR, and CNR, suggesting its potential to improve colorectal cancer staging accuracy.
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