Keywords: Segmentation, Segmentation, Bone, Knee MRI, Pipeline, AI
Motivation: [18F]NaF PET imaging is a promising technique to study the role of bone metabolism in joint diseases such as osteoarthritis. To ease the corresponding burden of segmentations and data analysis, we developed an automated pipeline.
Goal(s): We developed a new automated pipeline for knee bone segmentations. We validated the creation of subchondral bone masks for applications to [18F]NaF PET imaging by measuring changes in PET measures.
Approach: We developed an automated segmentation pipeline for bone segmentations and validated the results for PET imaging.
Results: DOSMA automated segmentations perform highly for bones and show applicability for quantitative musculoskeletal analysis.
Impact: Our automated bone segmentation and PET data analysis pipeline enables a streamlined way of automating PET-MRI processing, including registration, segmentation, quantitative mapping, and visualization of outcome measures.
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