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arXiv Computer Vision By Robin Y. Park, Mark C. Eid, Rhydian Windsor, Amir Jamaludin, Ana I. L. Namburete, Jo\~ao F. Henriques, Andrew Zisserman

Rendering Novel Views of MRI Using 3D Gaussian Splatting

Read the original on arXiv Computer Vision →

The paper proposes using 3D Gaussian Splatting to reconstruct volumetric MRI data from non‑aligned scans, enabling the generation of novel view planes that are better aligned with spinal anatomy. These resampled images are then used to predict ordinal severity grades of localized stenosis, outperforming traditional Voxel Interpolation and Cubic B‑spline resampling methods. Across all stenosis conditions, the Gaussian Splatting approach yields more accurate diagnostic gradings than raw or conventionally resampled scans.

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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