Abstract #4593
Independent component analysis based identification and pharmaco-kinetic-modeling of prostate tumor DCE-MRI concentration data
Ashish A Rao 1 , Dattesh D Shanbhag 2 , Venkata V Chebrolu 2 , Sandeep N Gupta 3 , and Rakesh Mullick 4
1
Biomedical Signal Analysis Laboratory, GE
Global Research, Bangalore, Karnataka, India,
2
Medical
Image Analysis Laboratory, GE Global Research,
Bangalore, Karnataka, India,
3
Clinical
Systems and Signal Processing, GE Global Research,
Niskayuna, NY, United States,
4
Diagnostics
and Biomedical Technologies, GE Global Research,
Bangalore, Karnataka, India
We describe ICA analysis on DCE-MRI concentration data
in prostate and its utility in separating the blood
volume and permeability components and removing
artifacts, thereby improving fidelity of pK maps. The
method can also be used for appropriate pK model
selection and gain a better understanding of tumor
response to therapy.
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