Equivariant Multiscale Learned Invertible Reconstruction for Cone Beam CT: From Simulated to Real Data
Published:Dec 24, 2025 13:59
•1 min read
•ArXiv
Analysis
This article presents a research paper on a novel method for cone beam CT reconstruction. The method utilizes equivariant multiscale learned invertible reconstruction, suggesting an approach that is robust to variations and can handle data at different scales. The paper's focus on both simulated and real data implies a rigorous evaluation of the proposed method's performance and generalizability.
Key Takeaways
- •Focus on cone beam CT reconstruction.
- •Utilizes equivariant multiscale learned invertible reconstruction.
- •Evaluated on both simulated and real data.
Reference
“The title suggests a focus on a specific type of CT reconstruction using advanced techniques.”