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Abstract #4497

Accelerated 3D T2 mapping with dictionary-based matching for prostate imaging

Elisa Roccia1, Rohini Vidya Shankar1, Radhouene Neji1,2, Gastao Cruz1, Rene Botnar1, Claudia Prieto1, Vicky Goh1,3, and Isabel Dregely1

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

Quantitative T2 mapping has potential for prostate cancer discrimination. However, current methods are typically 2D, require long scan times and may lead to inaccuracies if using an oversimpliļ¬ed exponential model. We propose rapid 3D T2 mapping based on accelerated 3D multi shot T2-prepared bSSFP acquisition combined with dictionary-based matching. The dictionary of signals was generated using a simulation framework taking into account the specifics of the acquisition, and was then matched to the acquired images to retrieve T2 values. The proposed approach was tested in healthy subjects enabling the acquisition of 3D T2 mapping of the whole prostate in 4min.

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