Keywords: Spectroscopy, Spectroscopy
Motivation: Effective monitoring of tumor progression and therapeutic efficacy should benefit from new in vivo imaging capability to resolve cell-specific contributions at tissue level.
Goal(s): To develop a new MRSI-based approach to resolve tumor cell-specific components at individual imaging voxels leveraging the spectral dimensions.
Approach: We proposed a multiscale experimental and computational MRSI framework that learns cell-specific spectroscopic signatures from glioma cell lines and resolves intravoxel nontumor and tumor-specific components in vivo using the learned signatures.
Results: Results from cellular mixtures and glioma-bearing mice demonstrated the potential of our method. Time-dependent, spatially-resolved tumor cell maps can be obtained, showing tumor growth in vivo.
Impact: The proposed approach marks a potential new paradigm to map cellular complexity at tissue level leveraging additional imaging dimensions and machine learning. It holds the promise to provide new tools for tumor grading, progression monitoring and treatment assessment.
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.
Keywords