Abstract #4108
MAXIMUM ENTROPY RECONSTRUCTED ECHO PLANAR BASED SPECTROSCOPIC IMAGING AND DIFFUSION WEIGHTED IMAGING IN PROSTATE CANCER
Rajakumar Nagarajan 1 , Zohaib Iqbal 1 , Brian Burns 1 , Daniel A Margolis 1 , Manoj K Sarma 1 , Robert E Reiter 2 , Steven S Raman 1 , and M.Albert Thomas 1
1
Radiological Sciences, University of
California Los Angeles, LOS ANGELES, CA, United States,
2
Urology,
University of California Los Angeles, LOS ANGELES, CA,
United States
Detection of more metabolites in prostate cancer is
demonstrated using non-uniformly undersampled (NUS)
echo-planar J-resolved spectroscopic imaging (EP-JRESI)
data processed using maximum entropy (MaxEnt) non-linear
reconstruction method than conventional one-dimensional
(1D) MR Spectroscopic imaging (MRSI). We have quantified
metabolites changes observed in spermine, myo-inositol
and citrate in cancer locations. Based on the ADC
values, the diffusion weighted imaging (DWI) was able to
differentiate the cancer and non-cancer locations. There
were positive and negative correlations between the ADC
values and metabolite ratios in cancer locations
investigated in our study.
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