DeepAI
Log In Sign Up

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

05/31/2021
by   Lu Xu, et al.
6

Low-dose CT has been a key diagnostic imaging modality to reduce the potential risk of radiation overdose to patient health. Despite recent advances, CNN-based approaches typically apply filters in a spatially invariant way and adopt similar pixel-level losses, which treat all regions of the CT image equally and can be inefficient when fine-grained structures coexist with non-uniformly distributed noises. To address this issue, we propose a Structure-preserving Kernel Prediction Network (StructKPN) that combines the kernel prediction network with a structure-aware loss function that utilizes the pixel gradient statistics and guides the model towards spatially-variant filters that enhance noise removal, prevent over-smoothing and preserve detailed structures for different regions in CT imaging. Extensive experiments demonstrated that our approach achieved superior performance on both synthetic and non-synthetic datasets, and better preserves structures that are highly desired in clinical screening and low-dose protocol optimization.

READ FULL TEXT

page 2

page 3

page 4

page 6

page 7

page 8

page 9

02/15/2018

3D Convolutional Encoder-Decoder Network for Low-Dose CT via Transfer Learning from a 2D Trained Network

Low-dose computed tomography (CT) has attracted a major attention in the...
05/11/2017

A Cascaded Convolutional Neural Network for X-ray Low-dose CT Image Denoising

Image denoising techniques are essential to reducing noise levels and en...
06/26/2018

Cycle Consistent Adversarial Denoising Network for Multiphase Coronary CT Angiography

In coronary CT angiography, a series of CT images are taken at different...
06/26/2020

Cascaded Convolutional Neural Networks with Perceptual Loss for Low Dose CT Denoising

Low Dose CT Denoising research aims to reduce the risks of radiation exp...
05/30/2020

Probabilistic self-learning framework for Low-dose CT Denoising

Despite the indispensable role of X-ray computed tomography (CT) in diag...
08/13/2020

AdaIN-Switchable CycleGAN for Efficient Unsupervised Low-Dose CT Denoising

Recently, deep learning approaches have been extensively studied for low...