Deep High-Resolution Network for Low-Dose X-Ray CT Denoising
نویسندگان
چکیده
منابع مشابه
A Cascaded Convolutional Nerual Network for X-ray Low-dose CT Image Denoising
Image denoising techniques are essential to reducing noise levels and enhancing diagnosis reliability in low-dose computed tomography (CT). Machine learning based denoising methods have shown great potential in removing the complex and spatial-variant noises in CT images. However, some residue artifacts would appear in the denoised image due to complexity of noises. A cascaded training network ...
متن کاملA deep convolutional neural network using directional wavelets for low-dose X-ray CT reconstruction.
PURPOSE Due to the potential risk of inducing cancer, radiation exposure by X-ray CT devices should be reduced for routine patient scanning. However, in low-dose X-ray CT, severe artifacts typically occur due to photon starvation, beam hardening, and other causes, all of which decrease the reliability of the diagnosis. Thus, a high-quality reconstruction method from low-dose X-ray CT data has b...
متن کاملWavelet Domain Residual Network (WavResNet) for Low-Dose X-ray CT Reconstruction
Model based iterative reconstruction (MBIR) algorithms for low-dose X-ray CT are computationally complex because of the repeated use of the forward and backward projection. Inspired by this success of deep learning in computer vision applications, we recently proposed a deep convolutional neural network (CNN) for low-dose X-ray CT and won the second place in 2016 AAPM Low-Dose CT Grand Challeng...
متن کاملDeformable complex network for refining low-resolution X-ray structures
In macromolecular X-ray crystallography, building more accurate atomic models based on lower resolution experimental diffraction data remains a great challenge. Previous studies have used a deformable elastic network (DEN) model to aid in low-resolution structural refinement. In this study, the development of a new refinement algorithm called the deformable complex network (DCN) is reported tha...
متن کاملHigh-resolution, low-dose phase contrast X-ray tomography for 3D diagnosis of human breast cancers.
Mammography is the primary imaging tool for screening and diagnosis of human breast cancers, but ~10-20% of palpable tumors are not detectable on mammograms and only about 40% of biopsied lesions are malignant. Here we report a high-resolution, low-dose phase contrast X-ray tomographic method for 3D diagnosis of human breast cancers. By combining phase contrast X-ray imaging with an image recon...
متن کاملذخیره در منابع من
با ذخیره ی این منبع در منابع من، دسترسی به آن را برای استفاده های بعدی آسان تر کنید
ژورنال
عنوان ژورنال: Journal of artificial intelligence for medical sciences
سال: 2021
ISSN: ['2666-1470']
DOI: https://doi.org/10.2991/jaims.d.210428.001