This year, we had a total of 18 accepted abstracts for ISMRM 2023, consisting of 4 power pitches, 7 posters, and 7 orals! An overview of all the abstracts is shown below:
Power pitches:
- Maarten Terpstra et al., #0823, “MERLIN: In-depth investigation on complex-valued image reconstruction in PyTorch and Tensorflow”
- Fei Xu et al., #1106, “MR-STAT For Fast Contrast Agent Uptake Quantification”
- Mathijs Kikken et al., #0612, “MR Thermometry Of RF Heating In The Human Brain At 7T Using The Harmonical Initialized Multi-Echo Model With SVD-Based Motion Correction”
- Gabrio Rizzuti et al., #0350, “Retrospective Motion Correction And Reconstruction For Clinical 3D Brain MRI Protocols With A Reference Contrast”
Posters:
- David Heesterbeek et al., #4609, “Data-Driven Discovery of mechanical models directly from k-space data: initial results with an actively forced linear elastic system”
- Max van Riel et al., #4619, “Time-Resolved MRI Kinesiology: Reconstructing Force And Velocity During Active Loading”
- Miha Fuderer et al., #2187, “The Influence Of Diffusion In Fast Multi-Parametric Relaxometry”
- Miha Fuderer et al., #2176, “Multi-Parametric Quantitative MRI Without Inversion Pulses By Optimized RF Phase Modulation”
- Stefano Mandija et al., #5166, “Brain Water-Content Based Electrical Properties Tomography In Healthy Volunteers, Tumor And Multiple Sclerosis Patients”
- Oscar van der Heide et al., #2197, “Cartesian MR-STAT Vs Spiral MR Fingerprinting: A Comparison”
- Flavio Meliadò et al., #4994, “Deep Learning Based Drift Field Correction For MR Thermometry In The Upper Leg At 7T”
Orals:
- Maarten Terpstra et al., #1168, “Feasibility of automatic patient-specific sequence optimization with deep reinforcement learning”
- Thierry Meerbothe et al., #1048, “In Silico Brain Data In ADEPT, A Database For MR-Electrical Properties Tomography Applications”
- Niek Huttinga et al., #1019, “Three-Dimensional Rigid Head Motion Correction Using The Beat Pilot Tone And Gaussian Processes”
- Hannah Liu et al., #0672, “High-Resolution Three-Dimensional MR-STAT For Musculoskeletal Applications”
- Thomas Olausson et al., #0861, “Time-Resolved Cardiac Imaging And Motion Analysis Using A Multi-Scale Dynamics Decomposition”
- Edwin Versteeg et al., #0271, “Full Brain Relaxometry At 7T In 3 Minutes By Accelerated MR-STAT Using A Low-SAR Flip Angle Train”
- Niek Huttinga et al., #1019, “Three-Dimensional Rigid Head Motion Correction Using The Beat Pilot Tone And Gaussian Processes”