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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