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Abstract #2265

Neurite Density and Diffusion Kurtosis Characterization of Brain Tumors with Accelerated DSI

Ek T Tan 1 , Robert J Young 2 , Xiaofeng Liu 1 , Marcel Prastawa 1 , Kyung K Peck 2,3 , Jennifer B Rubel 2 , Jonathan I Sperl 4 , and Luca Marinelli 1

1 GE Global Research, Niskayuna, NY, United States, 2 Radiology, MSKCC, New York, NY, United States, 3 Medical Physics, MSKCC, New York, NY, United States, 4 GE Global Research, Garching, Munich, Germany

Recent diffusion models such as neurite orientation dispersion and density imaging (NODDI) provide new means to characterize brain tumor tissue, but may require long scan times as multiple b-values and diffusion directionalities are also required. A compressed-sensing (CS)-accelerated diffusion spectrum imaging (DSI) approach was used to provide the data for modeling with NODDI and diffusion kurtosis for whole-brain imaging within 15 minutes. Fifteen subjects with primary brain tumors were imaged with CS-DSI with a conventional 3T scanner and 8-channel brain coil. The results suggest that the NODDI and kurtosis maps may provide improved segmentation and classification of tumor types.

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