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Structure|preserving low|dose computed tomography image ...


Structure-preserving low-dose computed tomography image ...

With the use of the AGC modeling scheme to characterize the structural information in CT images and of residual AGC-attention blocks with ...

Structure-preserving low-dose computed tomography image ...

The proposed AGC-LSRED method achieves satisfactory results in preserving fine anatomical structures and suppressing noise in LDCT images.

Structure-preserving low-dose computed tomography image ... - NCBI

In this paper, we propose an adaptive global context (AGC) modeling scheme to describe the nonlocal correlations and the regionally distinct statistics in CT ...

(PDF) Structure-preserving low-dose computed tomography image ...

Abstract. Background Low-dose computed tomography (LDCT) scans can effectively reduce the radiation damage to patients, but this is highly ...

Low-Dose CT Denoising Using A Structure-Preserving Kernel ...

Low-dose CT has been a key diagnostic imaging modality to reduce the potential risk of radiation overdose to patient health. Despite recent advances ...

Structure-aware diffusion for low-dose CT imaging - IOPscience

This paper presents a Structure-Aware Diffusion model (SAD), an end-to-end self-guided learning framework for high-fidelity CT image reconstruction.

Privacy-Preserving Encrypted Low-Dose CT Denoising - arXiv

Deep learning (DL) has made significant advancements in tomographic imaging, particularly in low-dose computed tomography (LDCT) denoising. A ...

Segmentation-guided Denoising Network for Low-dose CT Imaging

However, most of them seek an objective data distribution approximating the gold standard and neglect structural semantic preservation. Moreover, the numerical ...

U-Net Autoencoder for Edge-Preserved Denoising of Low Dose ...

Denoising and preserving edge sharpness in Low-Dose CT images is a challenging task that conventional denoising techniques may not efficiently solve. Deep ...

Low-Dose CT Denoising via Sinogram Inner-Structure Transformer

As the image quality is degraded by low dose radiation, LDCT exams require specialized reconstruction methods or denoising algorithms. However, ...

CT image denoising methods for image quality improvement and ...

It is important to optimize the settings of the examination to achieve a balance between reducing radiation dose and preserving sufficient image ...

Parallel processing model for low-dose computed tomography ...

Furthermore, encoders have similar network structure but receive different inputs, which are LDCT images from multisource datasets. Here, ...

Two stage residual CNN for texture denoising and structure ...

This paper introduces a new denoise method for low dose CT (LDCT) images, called two stage residual convolutional neural network (TS-RCNN).

PWLS-PR: low-dose computed tomography image reconstruction ...

PWLS-PR: low-dose computed tomography image reconstruction using a patch-based regularization method based on the penalized weighted least squares total ...

Texture-preserving low dose CT image denoising using Pearson ...

Request PDF | Texture-preserving low dose CT image denoising using Pearson divergence | Objective. The mean squared error (MSE), ...

A review on Deep Learning approaches for low-dose Computed ...

[82] have proposed a W-GAN model based on unpaired data to denoise Lung CT images. Noise reduction and texture preservation of this proposed GAN ...

Low-dose computed tomography image reconstruction via structure ...

... structure tensor total variation regularization for low dose CT imaging. An accelerated proximal forward-backward splitting (APFBS) ...

Low Dose CT Image Reconstruction Based on Structure Tensor ...

Low dose computed tomography (CT) has drawn much attention in the medical imaging field because of its ability to reduce the radiation dose.

Unpaired low‐dose computed tomography image denoising using a ...

... structure, which showed good performance in low-dose CT image denoising. The implementation of the powerful feature extraction capability of ...

Quality-preserving low-cost probabilistic 3D denoising with ... - bioRxiv

Computed tomography (CT) is one of the most frequently used medical imaging techniques, with over 100 million CT scans performed yearly ...