Browse All

Current Filters

CLEAR FILTER x

TITLE

Automatic, Non-Regularized Nonlinear Dipole Inversion for Fast and Robust Quantitative Susceptibility Mapping

A Deep Learning Approach to QSM Background Field Removal: Simulating Realistic Training Data Using a Reference Scan Ground Truth and Deformations

Author:Oriana Arsenov  Karin Shmueli  Anita Karsa  

Session Type:Digital Poster  

Session Date:Tuesday, 18 May 2021  

Topic:Current Trends in MRI Contrast Mechanisms  

Session Name:Contrast Mechanisms: Miscellaneous  

Program Number:1839  

Room Session:Concurrent 3  

Institution:University College London  

Development of a Deep Learning MRI Phase Unwrapping Technique Using an Exact Unwrap-Rewrap Training Model

Author:Rita Kharboush  Anita Karsa  Barbara Dymerska  Karin Shmueli  

Session Type:Digital Poster  

Session Date:Tuesday, 18 May 2021  

Topic:Machine Learning for Image Analysis  

Session Name:Machine Learning for Image Analysis  

Program Number:2411  

Room Session:Concurrent 1  

Institution:University College London  

The Effect of Oblique Image Slices on the Accuracy of Quantitative Susceptibility Mapping and a Robust Tilt Correction Method

Investigating the Effect of Flow Compensation Schemes and Processing Pipelines on the Accuracy of Venous Quantitative Susceptibility Mapping

Investigating the Effect of Positive Airways Pressure on Venous Oxygenation in Sickle Cell Anemia with Quantitative Susceptibility Mapping

Investigating the Magnetic Susceptibility of Silent Cerebral Infarcts in Sickle Cell Anaemia Using Two Different Gradient Echo Acquisitions

New Approaches for Simultaneous Noise Suppression and Edge Preservation to Achieve Accurate Quantitative Conductivity Mapping in Noisy Images

Author:Anita Karsa  Karin Shmueli  

Session Type:Digital Poster  

Session Date:Thursday, 20 May 2021  

Topic:Emerging Quantitative Contrasts: QSM, ETPM & MRE  

Session Name:Electrical Tissue Properties Mapping  

Program Number:3774  

Room Session:Concurrent 2  

Institution:University College London  

Optimal Kernel Radii for Calculating the Derivatives of Noisy B1 Phase for Accurate Phase-Based Quantitative Conductivity Mapping

Author:Anita Karsa  Patrick Fuchs  Karin Shmueli  

Session Type:Digital Poster  

Session Date:Thursday, 20 May 2021  

Topic:Emerging Quantitative Contrasts: QSM, ETPM & MRE  

Session Name:Electrical Tissue Properties Mapping  

Program Number:3775  

Room Session:Concurrent 2  

Institution:University College London  

Quantitative Susceptibility Mapping (QSM) is Sensitive to Hippocampal and Subcortical Gray Matter Changes in Temporal Lobe Epilepsy

Total Deep Variation Regularization for Improved Iterative Quantitative Susceptibility Mapping (TDV-QSM)