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arXiv Computer Vision By Amritesh Banerjee, Abdul Basit, Renil Renji Joseph, Nouhaila Innan, Muhammad Shafique

VoxelSynth3D: Interpretable Volumetric Image-Domain Metal Artifact Reduction with a Paired Synthetic CLINIC-Metal Benchmark

Read the original on arXiv Computer Vision →

VoxelSynth3D is a training‑free 3D image‑domain framework that reduces metal artifacts in postoperative musculoskeletal CT by combining support masking, normalized tissue synthesis, deviation gating, and restricted edge refinement. The method preserves implant voxels while correcting surrounding tissue artifacts and was evaluated on a newly constructed Synthetic CLINIC‑Metal benchmark, showing a reduction in RMSE from 801.48 to 786.18 HU on 40 held‑out cases. Compared to a 3D Gaussian smoother, VoxelSynth3D achieved a 13.58 HU improvement and maintained clean-edge agreement beyond 5 mm from metal.

Machine-generated by The Flow from the publisher's headline and feed description — not written or checked by a human. The full article lives at arXiv Computer Vision.

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