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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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