Meeting Banner
Abstract #3411

Optimized pipeline for voxel-wise detection of T1 relaxation time abnormalities

Anaïs Burrus1, Gian Franco Piredda1, Gabriele Bonanno1,2,3, Lina Bacha1,4,5, Tommaso Di Noto1,4,5, Tobias Kober1,4,5, Tom Hilbert1,4,5, Piotr Radojewski2,3, Bénédicte Maréchal1,4,5, and Veronica Ravano1,4,5
1Advanced Clinical Imaging Technology, Siemens Healthineers International AG, Lausanne, Switzerland, 2Translational Imaging Center (TIC), Swiss Institute for Translational and Entrepreneurial Medicine, Bern, Switzerland, 3Institute for Diagnostic and Interventional Neuroradiology, Inselspital, University of Bern, Bern, Switzerland, 4LTS5, Ecole Polytechnique Fédérale de Lausanne, Lausanne, Switzerland, 5Department of Medical Radiology, Lausanne University Hospital and University of Lausanne, Lausanne, Switzerland

Synopsis

Keywords: Data Processing, Relaxometry, Neuroinflammation, Quantitative Imaging

Motivation: Quantifying voxel-wise deviations in T1 relaxation times from a normative atlas enables the characterization of brain microstructural pathology with high spatial resolution. So far, registration errors and long runtimes have constrained its clinical adoption.

Goal(s): Provide accurate T1 deviation maps for clinical use, with decreased runtimes, reduced registration errors, and enhanced interpretation using noise filtering.

Approach: An existing algorithm was improved by extending the normative cohort with multi-centric data, replacing the registration method with a deep-learning model, and implementing a novel iterative noise filtering technique.

Results: This approach substantially reduced processing time, improved spatial alignment, and reduced measurement noise in T1 deviation maps.

Impact: Improved spatial alignment and a novel iterative noise filtering technique enhanced efficiency, accuracy and interpretability of a pipeline characterizing voxel-wise abnormalities of quantitative T1 relaxation times, paving the way for clinical adoption of pathology characterization with single-subject T1 deviations.

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