Aug 19, 2024 · In this paper, we introduce an innovative method for 3D CT reconstruction utilizing biplanar X-rays. Distinct from previous research that relies ...
In this paper, we introduce an innovative method for 3D CT reconstruction utilizing biplanar X-rays. Distinct from previous research that relies on conventional ...
– We propose a new, 3D conditional diffusion model - DiffuX2CT, which is the first model that leverages diffusion models with a new tri-plane conditioning.
In this paper, we propose DiffuX2CT, which models CT reconstruction from orthogonal biplanar X-rays as a conditional diffusion process. DiffuX2CT is established ...
Sep 8, 2024 · In this paper, we introduce an innovative method for 3D CT reconstruction utilizing biplanar X-rays. Distinct from previous research that relies ...
DRR simulates radiographic images by projecting 3D volume images onto a 2D image plane using a variety of ray tracing techniques. Current DRR algorithms mainly ...
Aug 21, 2024 · This paper proposes a diffusion-based deep learning model called "Diff2CT" to reconstruct high-quality 3D CT images from biplanar X-ray inputs.
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This work proposes to reconstruct CT from two orthogonal X-rays using the generative adversarial network (GAN) framework, resulting in a high-quality CT volume ...
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Programmable scanning diffuse speckle contrast imaging of cerebral blood flow · Reconstruct Spine CT from Biplanar X-Rays via Diffusion Learning · DiffuX2CT: ...
Sep 18, 2024 · This paper proposes a new conditional diffusion model, DX2CT, that reconstructs three-dimensional (3D) CT volumes from bi or mono-planar X-ray image(s).