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Are Pixel-Wise Metrics Reliable for Computerized Tomography Reconstruction?

Tianyu Lin, Xinran Li, Chuntung Zhuang, Qi Chen, Yuanhao Cai, Kai Ding, Alan L. Yuille, Zongwei Zhou

2025Year
1Citations

Abstract

Code, dataset, and models: https://github.com/MrGiovanni/CARE NeRF R 2 -GS +CARE Ground Truth Gall bladder Spleen Celiac trunk Aorta Colon Postcava Left Kidney R 2 -GS NeRF +CARE +29.0% +30.0% +31.7% +8.7% +8.6% +20.3% +21.5% +3.7% +35.7% +22.3% +14.0% +2.5% +21.9% +31.0% +40.2% +17.2%

Figure 1: CARE Improves Structural Completeness in Sparse-View CT Reconstruction. Top: Qualitative comparison of reconstructed CT scans from NeRF and R 2 -GS, with and without our proposed CARE on clinically important structures. Bottom: Quantitative gains in structural completeness across four reconstruction methods. CARE consistently improves results, confirming its model-agnostic and plug-and-play nature.

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