Abstract #4224
Rangoli Undersampling Library (RUSL) for k-space trajectory design to combine compressed sensing and parallel imaging for accelerated MRI
Amaresha Shridhar Konar 1 , Smera Lingesh 1 , Ramesh Babu 1 , and Sairam Geethanath 1
1
Medical Imaging Research Center, Dayananda
Sagar Institutions, Bangalore, karnataka, India
The current work provides a framework for undersampling
patterns for the combination of compressed sensing and
parallel imaging. The masks considered for this work are
called Rangoli. These masks have pseudo-random
distribution of points on Cartesian grid and are
smoothly connected. In this work, a variable density
spiral was plotted on rangoli and was tweaked by mapping
spiral coordinates on to the nearest rangoli coordinates
balancing consistency and smoothness error factors to
obtain the final trajectory. The images were then
evaluated based on the Point spread function (PSF) where
PSF was undersampled at different acceleration factors
and quantified by peak-signal-to-noise-ratio.
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