Abstract #3199
Simultaneous T 1 and T 2 quantitation of the Human Brain at 7 Tesla by MR Fingerprinting
Yun Jiang 1 , Huihui Ye 2,3 , Berkin Bilgic 2 , Dan Ma 1 , Thomas Witzel 2 , Stephen F. Cauley 2 , Elfar Adalsteinsson 2,4 , Kawin Setsompop 2 , Mark A. Griswold 1,5 , and Lawrence L. Wald 2,4
1
Department of Biomedical Engineering, Case
Western Reserve University, Cleveland, Ohio, United
States,
2
Department
of Radiology, Massachusetts General Hospital, Athinoula
A. Martinos Center for Biomedical Imaging, Charlestown,
Massachusetts, United States,
3
Department
of Biomedical Engineering, Zhejiang University,
Hangzhou, Zhejiang, United States,
4
Department
of Electrical Engineering and Computer Science;
Harvard-MIT Division of Health Sciences, MIT, Cambridge,
Massachusetts, United States,
5
Department
of Radiology, Case Western Reserve University, Ohio,
United States
The MRF method has been shown to be extremely efficient
in the quantitation of relaxation parameters. In this
study we used an MRF method based on the Fast-Imaging
with Steady-state free Precession (FISP) type sequence
to quantify T1, T2 and proton density at 7 T. A voxel
specific dictionary was calculated based on B1+
inhomogeneity estimated via an AFI scan. A
template-matching algorithm was used to extract T1 and
T2 values by matching a dictionary entry to the acquired
signal evolution. With additional B1 measurement time,
MRF method is able to quantify T1 and T2 values within
one minute per slice.
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.
Click here for more information on becoming a member.