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Abstract #0096

Hybrid T2 and Diffusion Weighted MRI for Prostate Cancer Detection

Shiyang Wang1, Yahui Peng1, Milica Medved1, Ambereen Yousuf1, Marko Ivancevic2, Ibrahim Karademir1, Yulei Jiang1, Tatjana Antic3, Steffen Sammet1, Aytek Oto1, Gregory S. Karczmar1

1Radiology, University of Chicago, Chicago, IL, United States; 2MR clinical science, Philips Healthcare, Cleveland, OH , United States; 3Pathology, University of Chicago, Chicago, IL, United States

A novel, hybrid MR imaging method was implemented for prostate cancer detection. The proposed hybrid imaging acquires diffusion weighted MRI (DWI) data at three echo times (TEs), and allows calculation of ADC and T2 as functions of TE and diffusion weighting factor (b-value), respectively. Preliminary results showed that both ADC and T2 calculated from the hybrid imaging data can help differentiate normal tissue regions and cancer foci. ADC at higher TE showed better differentiation than ADC at lower TE. The two dimensional 1/T2 map improved separation of cancer and normal voxels relative to a 1D comparison.