Keywords: CEST / APT / NOE, CEST & MT
Motivation: As an exciting ‘label-free' molecular imaging technique, CEST workflow is always time-consuming, because of the seconds-long TR and multiple frequency repetitions in acquisition, the iteration in reconstruction, and the pixel-by-pixel in B0 correction and quantification.
Goal(s): To achieve rapid and high-quality sampling, reconstruction and quantification of CEST-MRI.
Approach: We constructed a data-driven CEST framework, by joint optimization of k-space sampling, reconstruction and quantification.
Results: Retrospective experiments on human brain demonstrated the feasibility of combination with acceleration techniques including parallel imaging, compress sensing or deep learning, allowing 6X under-sampling rate and reconstruction of high-quality contrast maps in one second.
Impact: A data-driven CEST framework enabled joint optimization of k-space sampling,reconstruction and quantification. Retrospective experiments demonstrated that the the framework allows 6X under-sampling rate and reconstruction of high-quality contrast maps in one second. This one-stop workflow may facilitate more clinical needs.
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