Meeting Banner
Abstract #2566

Multi-Exponential Diffusion Image Analysis (MEDIA) of the human kidney: A clinical feasibility study

Jonas Jasse1, Hans-Jörg Wittsack1, Nadine Sonntag1, Thomas Andreas Thiel1, and Alexandra Ljimani1
1Department of Diagnostic and Interventional Radiology, Düsseldorf University Hospital, Düsseldorf, Germany

Synopsis

Keywords: IVIM, Microstructure

Motivation: Multi-exponential signal analysis is utilised to identify underlying present diffusion components in diffusion-weighted MRI signals. Various techniques emerged in recent years, but a detailed in-vivo comparison of the fitting approaches employed in the kidney is still missing.

Goal(s): Thus, we comparatively applied frequently used fitting methods and novel techniques towards precise in-vivo appliance.

Approach: The study comprised 15 healthy volunteers, intended for comparison with tumour patients. Besides NLLS and NNLS techniques, the pyramidal approach was employed

Results: Results demonstrated improvements for renal in-vivo data, a distinction between cortex and medulla was also accomplished. These encouraging findings conduct further investigations and comparison with pathologies

Impact: Identifying the most reliable and stable MEDIA approaches will pave the way for novel techniques. These advancements will enhance in-vivo applications, potentially allowing to distinguish between healthy and diseased tissue, recognise pathologies and long-term replace the need for biopsies.

How to access this content:

For one year after publication, abstracts and videos are only open to registrants of this annual meeting. Registrants should use their existing login information. Non-registrant access can be purchased via the ISMRM E-Library.

After one year, current ISMRM & ISMRT members get free access to both the abstracts and videos. Non-members and non-registrants must purchase access via the ISMRM E-Library.

After two years, the meeting proceedings (abstracts) are opened to the public and require no login information. Videos remain behind password for access by members, registrants and E-Library customers.

Click here for more information on becoming a member.

Keywords