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A 31P MRS study of Target Engagement of Terazosin in Neurodegenerative Diseases

Accelerated volumetric vocal tract MRI using model based deep learning

Author:Wahidul Alam  Sajan Lingala  

Session Type:Digital Poster  

Session Date:Tuesday, 10 May 2022  

Topic:Module 17: White Matter & Nervous System  

Session Name:Imaging Nerves, Head & Neck  

Program Number:1386  

Room Session:Exhibition Hall:S8 & S9  

Institution:University of Iowa  

Alignment and joint recovery of multi-slice free-breathing cardiac cine using manifold learning

Evaluation of Multicoil SENSE Reconstruction of Undersampled Data using a Human Observer Model of Signal Detection

Evaluation of Neural Network Reconstruction of Undersampled Data using a Human Observer Model of Signal Detection

High-resolution dynamic 3D UTE Lung MRI using motion-compensated manifold learning

High-resolution, high-contrast MRI protocol with extended delayed imaging for peritoneal mesothelioma

Improved Multi-band Multi-shot Diffusion MRI Reconstruction withJointUsage of StructuredLow-rank Constraints andExplicitPhase Mapping

Author:Erpeng Dai  Merry Mani  Jennifer McNab  

Session Type:Online Gather.town Pitches  

Session Date:Monday, 09 May 2022  

Topic:Module 14: Image Reconstruction  

Session Name:Novel Image Reconstruction Techniques II  

Program Number:3447  

Room Session:3  

Institution:Stanford University  University of Iowa  

Improving Efficiency of Ultra-short Echo Time MRI in Neonatal Lungs with a FLORET Spiral Trajectory

A K-space based learning approach to head motion correction for 4D (3D+time) radial sequences

Author:Parker Evans  Curtis Corum  John Keller  Vincent Magnotta  Mathews Jacob  

Session Type:Online Gather.town Pitches  

Session Date:Wednesday, 11 May 2022  

Topic:Module 22: Processing & Analysis  

Session Name:Processing & Analysis V  

Program Number:4487  

Room Session:1  

Institution:Champaign Imaging LLC  University of Iowa  

Manifold-Based Reconstruction

Author:Sajan Goud Lingala  

Session Type:Weekend Course  

Session Date:Sunday, 08 May 2022  

Topic:

Session Name:Image Reconstruction: Theory, Methods & Practical Considerations  

Program Number:

Room Session:N11 (Breakout A)  

Institution:University of Iowa  

    Metabolic Abnormalities in Bipolar Disorder Observed in the Putamen and Cerebellar Vermis with 7T MRS

    Motion Compensation in Pulmonary Ultra-short Echo Time MRI: Preliminary Results in Neonatal Bronchopulmonary Dysplasia

    Optimization of a Phase-Cycled bSSFP for Improved SNR-efficiency in Fluorine-19 MRI at 3T

    Protocol adaptive Stacked transfer learning (STL) U-NET with small dataset training for soft tissue segmentation in dynamic speech MRI

    Author:Subin Erattakulangara  Karthika Kelat  Sajan Lingala  

    Session Type:Digital Poster  

    Session Date:Wednesday, 11 May 2022  

    Topic:Module 22: Processing & Analysis  

    Session Name:Processing & Analysis: Segmentation I  

    Program Number:2163  

    Room Session:Exhibition Hall:S8 & S9  

    Institution:University of Iowa  

    qModeL: A Model-based Deep Learning Framework for the Recovery of Diffusion-based Microstructural Parameters from Healthy and Lesion Data

    Author:Merry Mani  Baolian Yang  Girish Bathla  Vincent Magnotta  Mathews Jacob  

    Session Type:Oral  

    Session Date:Wednesday, 11 May 2022  

    Topic:Module 16: Diffusion  

    Session Name:Beyond Conventional Diffusion Encoding  

    Program Number:0512  

    Room Session:ICC Capital Hall 1  

    Institution:GE Healthcare  University of Iowa  

    A randomized controlled trial of statins to reduce inflammation in cerebral aneurysms using vessel wall MRI

    Rapid Multi-shell Diffusion MRI Enabled by Learning Compact and Rotation Invariant q-Space Representations

    Rapid Multi-shell Diffusion MRI Enabled by Learning Compact and Rotation Invariant q-Space Representations

    Robust and Computationally Efficient Missing Point and Phase Estimation for Multi-Channel Acquisition with ZTE Sequences

    Towards Automated Scan Volume Placement for Breast MRI Using a Deep Neural Network