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.