System and method for three-dimensional computed tomography reconstruction from x-rays
AssigneeThe Research Foundation for The State University of New York
InventorsArie Kaufman, Gaofeng Deng
Life of this patent
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Abstract
Systems and methods for generating a 3D volumetric image from 2D X-ray images include receiving data representing at least one X-ray image of a region of interest as input data. Volume features are extracted from the X-ray image(s) and the extracted volume features are concatenated with a noise source to generate a noisy target volume. An iterative denoising process is performed on the noisy target volume by sampling the volume with a trained conditioned diffusion model. The method then reprojects the 3D volume of the region of interest. When the 2D X-ray images include pose data, the reprojecting operating reprojects the 3D volume with the pose data.
Claims18
A method of generating a 3D volumetric image from 2D X-ray images, comprising:
- input data representing at least one X-ray image of a region of interest;
- extract volume features from the at least one X-ray image data;
- concatenate the extracted volume features with a noise source to generate a noisy target volume;
- iteratively denoise the noisy target volume by sampling the volume with a trained conditioned diffusion model;
- and
- reproject a 3D volume of the region of interest.
A system for generating 3D volumetric image from 2D X-ray images, comprising:
- an image encoder receiving data representing at least one 2D X-ray image, extracting image features and generating volume-based voxel features therefrom;
- a noise source generating a noisy target volume;
- a conditional diffusion model trained on X-ray image-CT volume pair data, the diffusion model:
- receiving the voxel features from the image encoder and the noisy target volume;
- concatenating the voxel features with the noisy target volume and iteratively denoising the noisy target volume;
- and
- reprojecting the denoised volume as a 3D volume of the region of interest.
A non-transitory computer readable media programmed with instructions for a processor to perform method of generating a 3D volumetric image from 2D X-ray images, comprising:
- input data representing at least one X-ray image of a region of interest;
- extract volume features from the at least one X-ray image data;
- concatenate the extracted volume features with a noise source to generate a noisy target volume;
- iteratively denoise the noisy target volume by sampling the volume with a trained conditioned diffusion model;
- and
- reproject 3D volume of the region of interest.
Dependencies are inferred from the claim text.