Abstract #2606
Q-space signal reconstruction from sparse samples
Yogesh Rathi 1 , Oleg Michailovich 2 , Frederik Laun 3 , and Carl-Fredrik Westin 4
1
Psychiatry, Harvard Medical School, Boston,
MA, United States,
2
University
of Waterloo, Ontario, Canada,
3
German
Cancer Research Center, Germany, Germany,
4
Harvard
Medical School, MA, United States
We propose a novel method for reconstructing the
diffusion signal in the q-space from very sparsely
sampled data spread in over multiple b-values. Our
preliminary results on a physical phantom shows that
at-least 60 measurements are needed for good
reconstruction quality of the data.
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.
