Accelerated Multiband Cine Cardiac Magnetic Resonance Imaging using Deep Learning

CNN-based Off-resonance Correction in Cardiac Spiral MRI

Deep subspace transfer learning for SMS image reconstruction from single-slice training: Application to CMR Multitasking

Dictionary Generation and Matching with Conditional Invertible Neural Networks for Cardiac MR Fingerprinting

Late feature fusion and GAN-based augmentation for generalizable cardiac MRI segmentation

Prospective Evaluation of Machine Learning Prescription of Cardiac MRI Planes in Children with Congenital Heart Disease

Author:Cheng Hong  Naeim Bahrami  Vipul Sheth  Shreyas Vasanawala  

Session Type:Digital Poster  

Session Date:Tuesday, 10 May 2022  

Topic:Module 18: Cardiac  

Session Name:Cardiac Anatomy & Tissue Characterization V  

Program Number:1764  

Room Session:Exhibition Hall:S8 & S9  

Institution:GE Healthcare  Stanford University  

Rapid Free-breathing 3D SPirAl Respiratory and Cardiac Self-gated (SPARCS) Cine Acquisition Using an Undersampled Stack-of-Spirals

Real-Time Spiral bSSFP Functional Cardiac MRI on a 0.55T Scanner Using a Deep Image Prior Reconstruction with GROG

Author:Jesse Hamilton  Nicole Seiberlich  

Session Type:Digital Poster  

Session Date:Tuesday, 10 May 2022  

Topic:Module 18: Cardiac  

Session Name:Cardiac Anatomy & Tissue Characterization V  

Program Number:1761  

Room Session:Exhibition Hall:S8 & S9  

Institution:University of Michigan  

Self-calibrated through-time spiral GRAPPA for real-time, free-breathing evaluation of left ventricular function

sim2real: Cardiac MR image simulation-to-real translation via unsupervised GANs

Whole-Heart Free-Breathing 3D Cardiac Cine with Fast Respiratory Motion Compensated Reconstruction

Author:Jakob Meineke  Christophe Schülke  Kay Nehrke  Jochen Keupp  

Session Type:Digital Poster  

Session Date:Tuesday, 10 May 2022  

Topic:Module 18: Cardiac  

Session Name:Cardiac Anatomy & Tissue Characterization V  

Program Number:1757  

Room Session:Exhibition Hall:S8 & S9  

Institution:Philips Research