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papersTODAY 04:00 UTC

Calibrated Uncertainty Maps for Radiative Gaussian Splatting in Sparse-View CT

Researchers examine whether uncertainty maps reliably indicate where a sparse-view CT reconstruction is erroneous, and find a discrepancy between whole-volume scoring and localization of errors within the imaged object. They derive analytic, clamp-aware moments to produce calibrated uncertainty estimates for radiative Gaussian splatting reconstructions. The work suggests standard variance-based uncertainty is not equivalent to an error map in this setting.

calibrated-uncertainty computed tomography medical-image-reconstruction radiative-gaussian-splatting sparse-view-ct uncertainty-quantification

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arXiv cs.LGWhen Variance Is Not an Error Map: Calibrated Uncertainty for Radiative Gaussian Splatting in Sparse-View CT ↗TODAY 04:00 UTC