Abstract #1049

A caveat to Bayesian estimation in intravoxel incoherent motion modelling

Peter T. While¹, Igor Vidić², and Pål E. Goa²

¹Department of Radiology and Nuclear Medicine, St. Olav's University Hospital, Trondheim, Norway, ²Department of Physics, Norwegian University of Science and Technology (NTNU), Trondheim, Norway

Intravoxel incoherent motion (IVIM) modelling has the potential to provide pixel-wise maps of pseudo-diffusion parameters that offer insight into tissue microvasculature. However, standard approaches using least-squares fitting yield parameter maps that are typically heavily corrupted by noise. Bayesian modelling has been shown recently to be a promising alternative. In this work we test the robustness of one such Bayesian approach by applying it to simulated noisy data, and obtain clearer parameter maps with much lower estimation uncertainty than least-squares fitting. However, certain features are found to disappear completely, indicating that a level of caution is required when implementing such techniques.

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.