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Abstract #1095

A convex source separation and reconstruction methodology for filtering dynamic contrast enhancement MRI data

Sudhanya Chatterjee1, Dattesh D Shanbhag1, Venkata Veerendranadh Chebrolu1, Uday Patil1, Sandeep N Gupta2, Moonjung Hwang 3, Jeong Hee Yoon4, Jeong Min Lee4, and Rakesh Mullick1

1GE Global Research, Bangalore, India, 2GE Global Research, Niskayuna, NY, United States, 3GE Healthcare, Seoul, Korea, Republic of, 4Seoul National University Hospital, Seoul, Korea, Republic of

Main aim of this research is to investigate a source separation based approach to remove noise from true signal, while maintaining original tissue enhancement signature. It is based on the hypothesis that there exists overlapping temporal information in the DCE-MRI data, which if identified, can be used for filtering noise out of the true concentration data. We demonstrate the utility of source separation and subsequent weight estimation methodology to filter “noise” from DCE concentration data and impact on the pK model parameters in liver DCE-MRI.

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