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Abstract #1312

Reconstruction of motion affected prostate MRSI data using navigators and compressed sensing

Rashmi Reddy1, Ryan Kalmoe2, Greg Metzger2, and Sairam Geethanath1,3

1Dayananda Sagar Institutions, Bangalore, Karnataka, India, 2Center for Magnetic Resonance Research and Department of Radiology, University of Minnesota, Minneapolis, MN, United States, 3Department of Radiology, Columbia University Medical Centre, New York, NY, United States

This work focuses on reconstruction of 2D prostate in vitro and in vivo MRSI data. Motion affected phase encodes are tracked using a free induction decay navigator. The proposed work utilizes Compressed Sensing (CS) reconstruction technique to compensate for the loss of motion affected information. Comparison between data without motion considered as ground truth (GT) is performed with data with motion and CS reconstructed data. Qualitative and quantitative performance measures indicate improvement in spectral quality with the application of the navigator led CS MRSI reconstruction. Current and future work involves the application of this method on an increased sample size.

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