Medical Imaging News
The latest Medical Imaging coverage curated for game developers.
arXiv cs.GR details an edge-centric brain transformer that models rs-fMRI connectivity as connections, not just regions. The framework uses edge time-series, a line graph, and a structure-aware transformer to improve …
arXiv cs.GR details LINGO, a 3D Gaussian Splatting pipeline for sparse-view X-ray novel view synthesis and CT reconstruction. The method uses latent mask-space initialization and dynamic gradient scaling to cut …
Deep-learning depth estimation for endoscopic surgery is getting a broad technical map, with a new survey organizing the field around data, methods, and clinical use. For developers working in medical …
A new CBCT reconstruction method uses Gaussian splatting plus polychromatic X-ray modeling to suppress metal artifacts and beam hardening. The system jointly optimizes reconstruction and spectral characteristics, avoiding manual metal …
A new cone-beam CT reconstruction method uses splat-based Gaussian representations plus a compact polychromatic attenuation model to cut metal artifacts without a metal mask. The approach targets the hard case …
A hybrid deep-learning plus iterative-optimization pipeline reconstructs patient-specific pelvic organ meshes from MRI with better geometric fidelity than prior ML-only approaches. The paper reports lower Chamfer Distance, higher Dice scores, …
A cheap haptics-focused metric can expose problems that Dice and Hausdorff miss: SC-MFJ found a 147x gap in force jerk between raw binary pancreas masks and simple Gaussian smoothing. For …
Researchers have introduced a new volumetric alignment method, KTPolyRigid, aimed at keeping articulated anatomy anatomically consistent while reducing folding artifacts. Tested on 53 fetal MRI volumes, it pairs a differentiable …
A new unsupervised method called AMID has been introduced for establishing Stochastic Object Models (SOMs) from noisy medical imaging data. This approach is particularly relevant for graphics programmers and artists …
A new method for 3D reconstruction of pulmonary segments using neural implicit functions could significantly enhance surgical planning for lung cancer treatment. This approach addresses computational limitations of traditional methods, …
The introduction of near real-time adaptive image-to-mesh conversion techniques could significantly enhance workflows for graphics programmers and technical artists. By integrating multiple tools into a single pipeline, developers can create …