Physics|assisted generative adversarial network for X|ray tomography

Physics-assisted generative adversarial network for X-ray tomography

In this work, we develop a Physics-assisted Generative Adversarial Network (PGAN), a two-step algorithm for tomographic reconstruction.

Physics-assisted Generative Adversarial Network for X-Ray ... - arXiv

X-ray tomography is capable of imaging the interior of objects in three dimensions non-invasively, with applications in biomedical imaging, ...

Physics-assisted Generative Adversarial Network for X-Ray ...

X-ray tomography is capable of imaging the interior of objects in three dimensions non-invasively, with applications in biomedical imaging, ...

Physics-assisted Generative Adversarial Network for X-Ray ... - arXiv

Abstract: X-ray tomography is capable of imaging the interior of objects in three dimensions non-invasively, with applications in biomedical ...

Physics-assisted generative adversarial network for X-ray tomography

Unlike iterative algorithms which require a distribution that is known a priori, deep reconstruction networks can learn a prior distribution through sampling ...

Physics-assisted generative adversarial network for X-ray tomography

PDF | X-ray tomography is capable of imaging the interior of objects in three dimensions non-invasively, with applications in biomedical ...

(PDF) Physics-assisted Generative Adversarial Network for X-Ray ...

PDF | X-ray tomography is capable of imaging the interior of objects in three dimensions non-invasively, with applications in biomedical ...

Generative Adversarial Network (Generative Artificial Intelligence) in ...

This review reveals that the GAN can be applied to magnetic resonance imaging, X-ray, computed tomography, ultrasound and positron emission tomography.

Physics-assisted Generative Adversarial Network for X-Ray ...

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Generative adversarial network in medical imaging: A review

... Assisted Intervention (MICCAI), SPIE Medical ... Semantic-aware generative adversarial nets for unsupervised domain adaptation in chest x-ray segmentation.

TRCT-GAN: CT reconstruction from biplane X-rays using transformer ...

In this paper, an end-to-end GAN network, named TRCT-GAN, is proposed to reconstruct chest CT volumes from biplane X-ray images.

Physics-Informed Generative Adversarial Networks for Stochastic ...

The European Physical Journal Plus, Vol. 137, No. 7 | 26 July 2022. Physics-assisted generative adversarial network for X-ray tomography. Optics Express, Vol ...

Clinical ultra-high resolution CT scans enabled by using a ... - PubMed

Recent works have proved that the convolution neural network especially the generative adversarial network ... Tomography, X-Ray Computed* / methods. Grants ...

Generative adversarial networks improve interior computed ...

In interior computed tomography (CT), the x-ray beam is collimated to a limited field-of-view (FOV) (e.g. the volume of the heart) to decrease exposure to ...

Sinogram Inpainting with Generative Adversarial Networks ... - Apollo

X-ray computed tomography is a widely used, non-destructive imaging ... Computer Assisted Design Data, Tomography, X-Ray Computed, Artifacts, Image ...

Tomographic reconstruction with a generative adversarial network

physics model, instead of on training data. ... It was also validated by reconstructing a missing-wedge X-ray ptychographic tomography (PXCT).

Restoration of X-ray phase-contrast imaging based on generative ...

To rapidly reconstruct low-dose X-ray phase contrast images, this study developed a model based on Generative Adversarial Networks (GAN), ...

Geometrical-Based Generative Adversarial Network to Enhance ...

X-ray microcomputed tomography (micro-CT) is a common tool for the study of porous media structures and properties. High-quality micro-CT ...

Generative Adversarial Networks: A Primer for Radiologists

Illustrated examples of GAN applications in radiologic image analysis for different imaging modalities and different tasks are provided. The ...

[PDF] UVTOMO-GAN: An Adversarial Learning Based Approach For ...

UVTOMO-GAN: An Adversarial Learning Based Approach For Unknown View X-Ray Tomographic Reconstruction · Mona Zehni, Zhizhen Zhao · Published in IEEE International ...