DeepAI
Log In Sign Up

Task-Oriented Low-Dose CT Image Denoising

03/25/2021
by   Jiajin Zhang, et al.
14

The extensive use of medical CT has raised a public concern over the radiation dose to the patient. Reducing the radiation dose leads to increased CT image noise and artifacts, which can adversely affect not only the radiologists judgement but also the performance of downstream medical image analysis tasks. Various low-dose CT denoising methods, especially the recent deep learning based approaches, have produced impressive results. However, the existing denoising methods are all downstream-task-agnostic and neglect the diverse needs of the downstream applications. In this paper, we introduce a novel Task-Oriented Denoising Network (TOD-Net) with a task-oriented loss leveraging knowledge from the downstream tasks. Comprehensive empirical analysis shows that the task-oriented loss complements other task agnostic losses by steering the denoiser to enhance the image quality in the task related regions of interest. Such enhancement in turn brings general boosts on the performance of various methods for the downstream task. The presented work may shed light on the future development of context-aware image denoising methods.

READ FULL TEXT

page 4

page 8

10/30/2020

EDCNN: Edge enhancement-based Densely Connected Network with Compound Loss for Low-Dose CT Denoising

In the past few decades, to reduce the risk of X-ray in computed tomogra...
04/18/2021

Lesion-Inspired Denoising Network: Connecting Medical Image Denoising and Lesion Detection

Deep learning has achieved notable performance in the denoising task of ...
11/18/2021

Deep neural networks-based denoising models for CT imaging and their efficacy

Most of the Deep Neural Networks (DNNs) based CT image denoising literat...
09/16/2021

Eformer: Edge Enhancement based Transformer for Medical Image Denoising

In this work, we present Eformer - Edge enhancement based transformer, a...
02/22/2017

CT Image Denoising with Perceptive Deep Neural Networks

Increasing use of CT in modern medical practice has raised concerns over...
06/08/2021

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

Low dose computed tomography is a mainstream for clinical applications. ...
05/31/2021

Low-Dose CT Denoising Using a Structure-Preserving Kernel Prediction Network

Low-dose CT has been a key diagnostic imaging modality to reduce the pot...

Code Repositories

Task-Oriented-CT-Denoising_TOD-Net

None


view repo