Abstract #4287
Singular Value Decomposition for Magnetic Resonance Fingerprinting in the Time Domain
Debra F. McGivney 1 , Dan Ma 2 , Haris Saybasili 3 , Yun Jiang 2 , and Mark A. Griswold 1,2
1
Radiology, Case Western Reserve University,
Cleveland, Ohio, United States,
2
Biomedical
Engineering, Case Western Reserve University, Cleveland,
Ohio, United States,
3
Siemens
Healthcare, Chicago, Illinois, United States
Magnetic resonance fingerprinting is a technique that
can provide quantitative maps of tissue parameters (T1,
T2, and off-resonance) through matching observed signals
to a precomputed dictionary of modeled signal
evolutions. To retrieve the parameters, the inner
product between the signal and each dictionary entry is
computed to find the entry corresponding to the maximum.
We propose to compress the size of the dictionary and
observed signals in the time domain by applying the
singular value decomposition (SVD), thereby reducing the
number of computations required while retaining the most
relevant information from the dictionary.
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.
