Meeting Banner
Abstract #4290

DeepCESTSig: Brain and Tumor Subregion Delineation via Chemical Exchange Saturation Transfer (CEST) MRI

Junaid R. Rajput1, Moritz S. Fabian1, Tim A. moehle1, Angelika Mennecke1, Manuel Schmidt1, Arnd Dörfler1, Andreas Maier2, and Moritz Zaiss1
1Institute of Neuroradiology, Universitätsklinikum Erlangen, Erlangen, Germany, 2Pattern Recognition Lab, Friedrich-Alexander-University Erlangen-Nürnberg, Erlangen, Germany

Synopsis

Keywords: Analysis/Processing, CEST / APT / NOE, Segmentation, CEST, Signature

Motivation: The segmentation of brain tissues - white matter, gray matter, cerebrospinal fluid - and tumor regions based on metabolic maps is crucial for the diagnosis, treatment planning and monitoring of neurological diseases.

Goal(s): Segmentation of white matter, gray matter, cerebrospinal fluid and tumor regions in the human brain using CEST-MRI signatures.

Approach: A voxel-wise deep learning network that performs segmentation using the B1B0-corrected acquired CEST spectrum and CEST maps

Results: In validation studies, the network has reliably differentiated between white matter, gray matter, CSF and tumor regions in different patient datasets and proven its robustness and consistency in various clinical use cases

Impact: Segmentation based on CEST signatures improves the delineation of brain tissue and identification of tumors, enabling better clinical decision-making. The approach improves neuroimaging techniques by using biochemical contrasts and can improve the results in the diagnosis of malignant brain areas.

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