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Comparison of ROI averaging and Spectral Localization by Imaging (SLIM) Using High Resolution 3D Echo Planar Spectroscopic Imaging (EPSI)

Author:Sean Ellis  Peter Adany  Phil Lee  In-Young Choi  

Institution:University of Kansas Medical Center  University of Kansas  

Session Type:Digital Poster  

Session Date:Tuesday, 14 May 2019  

Session Time:09:15  

Session Name:MRSI Acquisition & Reconstruction  

Program Number:2489  

Presentation Time:09:15   

Room Number:Exhibition Hall  

Computer Number:Computer 16  

Deep Learning with a Novel Surface Feature for Fully Automatic Quantification of Lesion Hyperintensities in Multiple Sclerosis

Author:Peter Adany  In-Young Choi  Scott Belliston  Jong Chul Ye  Sharon Lynch  Phil Lee  

Institution:Korea Advanced Institute of Science & Technology  University of Kansas Medical Center  

Session Type:Digital Poster  

Session Date:Thursday, 16 May 2019  

Session Time:13:45  

Session Name:Machine Learning for Prediction & Image Analysis  

Program Number:4892  

Presentation Time:13:45   

Room Number:Exhibition Hall  

Computer Number:Computer 174  

Effects of T2 relaxations on diffusion heterogeneity in the presence of tumor malignancy-related microstructural changes

Author:Chu-Yu Lee  In-Young Choi  Phil Lee  

Institution:University of Kansas Medical Center  

Session Type:Digital Poster  

Session Date:Wednesday, 15 May 2019  

Session Time:09:15  

Session Name:Microstructural Modelling & Mapping  

Program Number:3554  

Presentation Time:09:15   

Room Number:Exhibition Hall  

Computer Number:Computer 46  

Validation of B0-adjusted and sensitivity-encoded spectral localization by imaging (BASE-SLIM) using High Resolution 3D EPSI

Author:Peter Adany  In-Young Choi  Sean Ellis  Phil Lee  

Institution:University of Kansas Medical Center  

Session Type:Digital Poster  

Session Date:Tuesday, 14 May 2019  

Session Time:09:15  

Session Name:MRSI Acquisition & Reconstruction  

Program Number:2490  

Presentation Time:09:15   

Room Number:Exhibition Hall  

Computer Number:Computer 17