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Real-time Volumetric Imaging for Minimally-Invasive Thoracic Interventions: A Deformable Phantom Study
medRxiv · · Preprint · Open access
Lin, Biju + 6 more
Abstract ↗AI summary
The abstract is read at the publisher; the summary is JClub's.
VoxelMap reconstructs real-time volumetric respiratory motion from 2D C-arm projections for two deformable lung phantoms, achieving SSIM >0.92 and inference under 15 ms.
- Why it matters: Continuous volumetric guidance during minimally invasive thoracic procedures is limited by slow 3D imaging, creating a need for fast, reliable motion estimation from fluoroscopy.
- What they did: The method was trained on 4D CBCT and evaluated on withheld respiratory phases for PixelPrint4D and Casper phantoms using SSIM/PSNR, measured inference time, and deep ensembles for uncertainty.
- The result: SSIM exceeded 0.92 in all experiments (Casper 0.969–0.973; PixelPrint4D 0.927–0.943), inference was <15 ms, and ensemble uncertainty correlated positively with prediction error in both phantoms.
The findingWhy it mattersWhat they didThe result
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