Multiorgan Quantitative T1 Mapping: Advances in Thoraco-Abdominal Tissue Characterization

This session explores the current applications of quantitative T1 mapping for tissue characterization in thoraco-abdominal organs. We will examine how this MRI technique enables non-invasive assessment of tissue properties through T1 relaxation time measurements, including mechanisms underlying T1 changes in different pathological states. The session addresses standardization of acquisition protocols, analysis methods, and clinical validation studies in the heart, liver, pancreas and kidneys. Special attention will be given to the biological basis of T1 alterations in different tissue types, from fibrosis to inflammatory changes. Through perspectives from physics, radiology, and clinical practice, we aim to critically assess both the established applications and emerging opportunities of T1 mapping as a quantitative imaging biomarker.


Session duration: 60m
Intended audience: Physicists, Radiologists

Moderators: Monika Dezortová Ph.D. (Confirmed: No)
First Speaker: Matt Robson (Confirmed: Yes)
Second Speaker: Ilona Dekkers (Confirmed: No)
Third Speaker: TBD (Confirmed: No)



Session description

This session will explore quantitative T1 mapping for thoracoabdominal tissue characterization. The technique enables non-invasive assessment of tissue properties in the heart, liver, pancreas and kidneys, with a focus on biological mechanisms, standardization, validation, and clinical implementation.

The program will be the following:

  • Introduction by Monika Dezortová (5 min): overview of the session goals and relevance of T1 mapping in thoracoabdominal tissue characterization
  • Presentation by Matt Robson (15 min): technical foundations and standardization of T1 mapping protocols across multiple organs
  • Presentation by Ilona Dekkers (15 min): radiological perspective on T1 mapping analysis and biological mechanisms in different tissue types
  • Presentation by [Clinician TBD] (15 min): established clinical applications and emerging uses in disease monitoring and treatment response
  • Questions and Answers (10 min)