Keywords: Data Processing, Quantitative Imaging, denoising
Motivation: The SNR efficiency of multi-slice multi-echo (MSME) T2 mapping can be improved by denoising strategies.
Goal(s): To evaluate the performance of a recently proposed low-rank transform domain technique vs. prior-art image domain denoising techniques for MSME T2 mapping.
Approach: A reference 20-average T2 mapping data set of a piglet knee specimen was acquired at 3T. The performances of transform (T-MPPCA and T-NORDIC) and image domain (MPPCA and BM4D) denoising were compared at different SNR levels and for magnitude vs. complex image data.
Results: T-NORDIC best preserved T2 map spatial fidelity and quantitative accuracy while providing a substantial reduction in image noise.
Impact: T-NORDIC provides significant advantages for denoising of MSME T2 mapping acquisitions compared to image domain methods, including improved quantitative accuracy and spatial fidelity, providing a robust approach to improve SNR efficiency while being conservative and preserving subtle local texture.
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