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New PET registration method enhances cancer volume and glycolysis tracking

Researchers have developed a new method for registering longitudinal whole-body PSMA PET/CT scans, adapting the LapIRN architecture for the Learn2Reg 2026 PSMAReg challenge. Their approach incorporates affine pre-registration, multi-modal deformable registration, and test-time instance optimization. Key innovations include PET biomarker preservation losses for metabolic tumor volume (MTV) and total lesion glycolysis (TLG), along with Jacobian-based constraints and structure-specific rigidity regularization, achieving competitive results in segmentation accuracy and biomarker error. AI

IMPACT Enhances precision in tracking cancer progression and treatment response through improved imaging analysis.

RANK_REASON The cluster contains a research paper detailing a novel method for medical image registration. [lever_c_demoted from research: ic=1 ai=0.7]

Read on arXiv cs.CV →

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New PET registration method enhances cancer volume and glycolysis tracking

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The cluster contains a research paper detailing a novel method for medical image registration. [lever_c_demoted from research: ic=1 ai=0.7]
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COVERAGE [1]

  1. arXiv cs.CV TIER_1 English(EN) · Fryderyk K\"ogl, Anna Reithmeir, Daniel M. Lang, Emily Chan, Rickmer Braren, Julia A. Schnabel ·

    PET Quantification-Preserving Registration for Longitudinal Whole-Body PSMA PET/CT

    arXiv:2610.21451v1 Announce Type: new Abstract: 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 registra…