Date

2025-Jan-30

Medical Imaging in a High-resource Setting

Abstract:

If we had all the hardware power, compute resources and data analysis techniques we could dream of, what could we achieve in medical imaging? What fundamental scientific or clinical questions could we answer? This session will explore advanced imaging capabilities which are currently being enabled or may soon be enabled by emerging hardware platforms, software tools, and datasets.  Speakers will share a focus on new information that can be gleaned from MRI, PET, CT, ultrasound, and other imaging or sensing modalities. They will also comment on which developments may eventually translate to, or otherwise influence, the low-resource settings to be explored in more detail in a companion session.

Organiser & chair: Daniel K. Sodickson

Session Schedule

8:00 - 8:20
Invited talk: Putting Medical Imaging in Context: Connected Scanners of the Future
Daniel Sodickson
8:20 - 8:40
Invited talk: Revealing Microstructure with MRI: New Information from Advanced Gradient Technology
Ileana Jelescu
8:40 - 9:00
Invited talk: Emerging Horizons in Ultrahigh Field MRI
Lucio Frydman
9:00 - 9:20
Invited talk: Beat Pilot Tone: Wireless Radio-Frequency Motion Sensing in MRI at Arbitrary Frequencies
Michael Lustig
9:20 - 9:40
Invited talk: Pushing the Limits of CT: New Clinical Information from Multi-Energy and Photon Counting Systems
Aaron Sodickson
9:40 - 11:00
Invited poster: MRI for Assessing Phase Aberration Corrections for Transcranial Ultrasound
Kim Pauly
9:40 - 11:00
Invited poster: Kinetic Model-Informed Generative AI for Multi-Tracer 4D PET Reconstruction
Andrew Reader
9:40 - 11:00
Contributed poster: (Self-)supervised Reconstruction for High Spatial and Temporal Resolution in DCE-MRI for Breast Cancer
Erik Gösche*
9:40 - 11:00
Contributed poster: Ultra-High-Field Diffusion-weighted MRI Reconstruction with Spatial-angular Low-rank Regularization for Rigid Motion Correction
Annika Hofmann*
9:40 - 11:00
Contributed poster: Exact Parameter Identification in PET Pharmacokinetic Modeling
Martin Holler