Keywords: AI/ML Image Reconstruction, Pelvis
Motivation: Reduced field-of-view DWI (rDWI) can improve the image quality (IQ) and lesion conspicuity in rectal cancer (RC) while reducing signal-to-noise ratio. Deep learning reconstruction (DLR) can denoise images. The feasibility and performance of DLR in rDWI for RC remains unclear.
Goal(s): To compare the IQ and apparent diffusion coefficient (ADC) values between DLR-rDWI and noDLR-rDWI in RC.
Approach: Objective and subjective IQ analysis were performed. ADC values were calculated. Results of IQ analysis and ADC between DLR-rDWI and noDLR-rDWI were compared.
Results: The IQ of DLR-rDWI was better than noDLR-rDWI (except lesion conspicuity, P=0.157). ADC values was not affected by DLR.
Impact: DLR-rDWI could be considered for inclusion in routine rectal MRI protocols. However, whether DLR can improve lesion conspicuity in RC should be further investigated with smaller lesions. The ability of DLR-rDWI in diagnosis and prediction for RC could be studied.
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