Abstract #2898
Acquisition strategies for highly accelerated Diffusion weighted imaging
Pavan Poojar 1 , Bikkemane Jayadev Nutandev 1 , Arush Honnedevasthana Arun 1 , Antharikshanagar Bellappa Sachin Anchan 1 , Ramesh Venkatesan 2 , and Sairam Geethanath 1
1
Dayananda Sagar Institutions, Bangalore,
karnataka, India,
2
Wipro-GE
Healthcare, karnataka, India
Diffusion weighted magnetic resonance imaging data with
high isotropic resolution can be obtained at 1.5T.
However, extensive brain coverage takes longer
acquisition times. Most significant part of the brain
covers the center of the k-space forming an arbitrary
shape. Proposed method demonstrates optimal gradient
waveform design for such arbitrary k-space trajectory
using active contour technique for six data sets. Result
shows Apparent Diffusion Coefficient (ADC) maps computed
for different acceleration factors. Current and future
work involves optimizing gradient waveforms for
different anatomies and integrating this work to the
scanner.
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