Keywords: Quantitative Imaging, Quantitative Imaging, quality assurance, T1 Mapping, T2 Mapping, ADC, Cellularity
Motivation: Anatomy-based adaptive radiotherapy (ART) is limited in underestimating tumor extent, unable to identify radio-resistant subregion and early treatment responses. Functional adaptation integrating biological insights throughout the MRI-guided radiation therapy (MRgRT) workflow will help achieve optimal plan adaptation.
Goal(s): Clinical implementation of integrating DWI and DCE into the MRgRT workflow from MR simulation to treatment on MR-LINAC systems.
Approach: Quantitative MRI (qMRI) protocol optimization and quality assurance, post-processing and image analysis via a script in the TPS API to provide biological information of intratumoral heterogeneity, and online adaptation with guidance of DWI.
Results: We established a qMRI-guided ART framework in radiation oncology department.
Impact: Our project accelerates the integration of qMRI-based biomarkers into clinical workflows involving MRI simulation and MR-LINAC treatment, establishing a framework for MR-guided Biology ART in clinical settings to achieve personalized radiotherapy.
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