Abstract #0738
Cardiac Diffusion Tensor Imaging: Adaptive Anisotropic Gaussian Filtering to Reduce Acquisition Time
Ria Mazumder 1,2 , Bradley D. Clymer 1 , Richard D. White 2,3 , and Arunark Kolipaka 2,3
1
Department of Electrical and Computer
Engineering, The Ohio State University, Columbus, OH,
United States,
2
Department
of Radiology, The Ohio State University, Columbus, OH,
United States,
3
Department
of Internal Medicine-Division of Cardiology, The Ohio
State University, Columbus, OH, United States
The counter-directional helical structure of the heart
plays an important role in regulating cardiac mechanics
and can be quantified on the basis of the angle it
subtends known as helical angle (HA). Non-invasive
measurement of HA is possible using diffusion tensor
imaging, the accuracy of which is dependent on increased
diffusion encoding directions (DED) and high signal to
noise ratio (i.e. increase in averages). The purpose
this study is to robustly estimate HA using fewer
averages and DED (thereby, reducing the acquisition
time) by implementing a 3D adaptive anisotropic Gaussian
post-processing filter.
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.
