Abstract #4747

3D T2 mapping with dictionary-based matching in simultaneous PET/MR: a preliminary study in prostate cancer patients

Elisa Roccia¹, Radhouene Neji^1,2, Meghana Kulkarni³, Thomas Benkert⁴, James Stirling³, Sami Jeljeli³, Berthold Kiefer⁴, Gary Cook³, Vicky Goh³, and Isabel Dregely¹

¹Biomedical Engineering Department, School of Biomedical Engineering and Imaging Sciences, King's College London, London, United Kingdom, ²Siemens Healthcare Limited, Frimley, United Kingdom, ³Cancer Imaging Department, School of Biomedical Engineering and Imaging Sciences, King's College London, London, United Kingdom, ⁴Siemens Healthcare GmbH, Erlangen, Germany

In this work we aim to show the clinical feasibility of quantitative 3D T₂mapping for tissue characterization and with the potential for prostate cancer detection. We implemented a 3D T₂-prepared multi-shot gradient echo sequence and a dictionary matching approach for quantitative T₂ analysis. We tested it in three biopsy-proven prostate cancer patients who underwent a simultaneous ¹⁸F-Choline PET/MR scan. Quantitative T₂ matched literature values and we observed reduced T₂ in lesions compared to normal peripheral zone tissue even in only moderately differentiated cancers (Gleason 3+4). Lesion location matched uptake of simultaneously acquired ¹⁸F-Choline PET.

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