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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