DeepAI AI Chat
Log In Sign Up

TED-net: Convolution-free T2T Vision Transformer-based Encoder-decoder Dilation network for Low-dose CT Denoising

by   Dayang Wang, et al.

Low dose computed tomography is a mainstream for clinical applications. How-ever, compared to normal dose CT, in the low dose CT (LDCT) images, there are stronger noise and more artifacts which are obstacles for practical applications. In the last few years, convolution-based end-to-end deep learning methods have been widely used for LDCT image denoising. Recently, transformer has shown superior performance over convolution with more feature interactions. Yet its ap-plications in LDCT denoising have not been fully cultivated. Here, we propose a convolution-free T2T vision transformer-based Encoder-decoder Dilation net-work (TED-net) to enrich the family of LDCT denoising algorithms. The model is free of convolution blocks and consists of a symmetric encoder-decoder block with sole transformer. Our model is evaluated on the AAPM-Mayo clinic LDCT Grand Challenge dataset, and results show outperformance over the state-of-the-art denoising methods.


page 6

page 7


CTformer: Convolution-free Token2Token Dilated Vision Transformer for Low-dose CT Denoising

Low-dose computed tomography (LDCT) denoising is an important problem in...

Masked Autoencoders for Low dose CT denoising

Low-dose computed tomography (LDCT) reduces the X-ray radiation but comp...

Eformer: Edge Enhancement based Transformer for Medical Image Denoising

In this work, we present Eformer - Edge enhancement based transformer, a...

LIT-Former: Linking In-plane and Through-plane Transformers for Simultaneous CT Image Denoising and Deblurring

This paper studies 3D low-dose computed tomography (CT) imaging. Althoug...

Task-Oriented Low-Dose CT Image Denoising

The extensive use of medical CT has raised a public concern over the rad...

3D U-NetR: Low Dose Computed Tomography Reconstruction via Deep Learning and 3 Dimensional Convolutions

In this paper, we introduced a novel deep learning based reconstruction ...

Quadratic Autoencoder for Low-Dose CT Denoising

Recently, deep learning has transformed many fields including medical im...