PET Quantification-Preserving Registration for Longitudinal Whole-Body PSMA PET/CT
We adapt the diffeomorphic coarse-to-fine LapIRN architecture for longitudinal whole-body PSMA PET/CT registration in the Learn2Reg 2026 PSMAReg challenge.
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Key points
- The method combines affine pre-registration, multi-modal deformable registration, and test-time instance optimization.
- We further introduce PET biomarker preservation losses for metabolic tumor volume (MTV) and total lesion glycolysis (TLG), including Jacobian-based constraints, and a per-structure rigidity regularization for skeletal structures.
- The submitted configuration achieved 81.0% DSC and 6.17 mm HD95, with MTV and TLG errors of 3.3% and 3.3%, respectively, on our evaluation protocol.
Sources (1)
- [1]PET Quantification-Preserving Registration for Longitudinal Whole-Body PSMA PET/CTarXiv (AI, ML, NLP, CV, robotics, multi-agent) · Oct 15, 07:54 AM
We adapt the diffeomorphic coarse-to-fine LapIRN architecture for longitudinal whole-body PSMA PET/CT registration in the Learn2Reg 2026 PSMAReg challenge.
The method combines affine pre-registration, multi-modal deformable registration, and test-time instance optimization.
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