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Comparing supervised and unsupervised machine learning frameworks based upon quantitative-MRI features in differentiation between non-enhancing tumor and vasogenic edema of glioma patients and validation using histopathological ground-truth

Author:Neha Vats  Anirban Sengupta  Dinil Sasi  Rakesh Gupta  R.P. Chauhan  Virendra Yadav  Sumeet Agarwal  Anup Singh  

Institution:Fortis Memorial Research Institute  IIT Delhi  NIT Kurukshetra  

Session Type:Digital Poster  

Session Date:Tuesday, 14 May 2019  

Session Time:15:45  

Session Name:Artificial Intelligence Is Taking Over Your Brain 2  

Program Number:3072  

Presentation Time:15:45   

Room Number:Exhibition Hall  

Computer Number:Computer 81  

Differentiation of Non-enhancing tumor region from Vasogenic edema in high-grade glioma using a machine learning framework based upon conventional MRI feature

Author:Anirban Sengupta  Neha Vats  Sumeet Agarwal  Rakesh Gupta  Dinil Sasi  Ayan Debnath  Anup Singh  

Institution:Fortis Memorial Research Institute  IIT Delhi  NIT Kurukshetra  University of Pennysylvania  

Session Type:Digital Poster  

Session Date:Tuesday, 14 May 2019  

Session Time:15:45  

Session Name:Artificial Intelligence Is Taking Over Your Brain 2  

Program Number:3070  

Presentation Time:15:45   

Room Number:Exhibition Hall  

Computer Number:Computer 79  

Grading of glioma using a machine learning framework based on optimized features obtained from T1 perfusion MRI and volumes of tumor components

Author:Anirban Sengupta  Sumeet Agarwal  Rakesh Gupta  Dinil Sasi  Ayan Debnath  Anup Singh  

Institution:Fortis Memorial Research Institute  IIT Delhi  University of Pennysylvania  

Session Type:Digital Poster  

Session Date:Tuesday, 14 May 2019  

Session Time:15:45  

Session Name:Artificial Intelligence Is Taking Over Your Brain 2  

Program Number:3069  

Presentation Time:15:45   

Room Number:Exhibition Hall  

Computer Number:Computer 78  

Impact of registration on multi-parametric breast MRI data and parameters: Qualitative and Quantitative Assessment

Optimization of saturation frequency offset step size for CEST asymmetry contrast  of human brain at 7T MRI

Quantitative intra-tumoral-susceptibility-signal (ITSS) vasculature volume (IVV) using QSM vs R2* approach for Glioma Grading

To evaluate the effect of different initial guess selection approaches on quantitative analysis of DCE-MRI data of brain tumor patients

­­To evaluate the role of APT-w contrast, optimized for normalization and ROIs selection, in differentiating Infective and Neo-plastic Mass Lesions