Abstract #3677
A Novel Profile/View Ordering (NINJA-STAR) for High-Resolution 3D Volumetric T1 Mapping
Sui-Cheng Wang 1,2 , Amit R. Patel 2 , Akiko Tanaka 3 , Hui Wang 4 , Xiang Zhu 5 , Dianwen Zhang 6 , Takeyoshi Ota 3 , Roberto M. Lang 2 , and Keigo Kawaji 2
1
Biomedical Engineering, Northwestern
University, Evanston, Illinois, United States,
2
Medicine,
Section of Cardiology, The University of Chicago,
Chicago, Illinois, United States,
3
Surgery,
The University of Chicago, Chicago, Illinois, United
States,
4
Philips
Medical Systems, Cleveland, Ohio, United States,
5
College
of Information and Electrical Engineering, and College
of Economics & Management, China Agricultural
University, Beijing, China,
6
Imaging
Technology group, Beckman Institute for Advanced Science
and Technology, University of Illinois at
Urbana-Champaign, Urbana, Illinois, United States
Myocardial T1 mapping, which is used to detect diffuse
fibrosis and quantify extracellular volumes, often
employs 8-10 mm 2D slice acquisitions. However, this
approach may be unsuited for accurate quantification of
small tissues samples. 3D T1 mapping is desirable, and a
FAN-type view ordering has recently been shown to
improve through-plane resolution over multiple
breath-holds. In this study, we propose a new view order
method called NINJA-STAR (or NJS), which allows
efficiently acquisition of 3D MRI k-space in a reduced
number of breath-holds, and examine this approach in
both phantom experiments and in-vivo.
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.
