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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