Deep Learning based Spectral CT Imaging 来自 钛学术 喜欢 0 阅读量: 137 公开/公告号: 10.48550/arXiv.2008.13570 公开/公告日期: 2020/08/28 发明人:W Wu,D Hu,LV Broeke,APH Butler,G Wang 摘要: Spectral computed tomography (CT) has attracted much attention in radiation dose reduction, metal ...
review state-of-the-art deep-learning-empowered computational spectral imaging methods.They are further divided into amplitude-coded,phase-coded,and wavelength-coded methods,based on different light properties used for encoding.To boost future researches,we've also organized publicly available spectral ...
deep learningdual‐energy CTdual‐source CTPurpose: Data completion is commonly employed in dual-source, dual-energy computed tomography (CT) when physical or hardware constraints limit the field of view (FoV) covered by one of two imaging chains. Practically, dual-energy data completion is ...
of-the-art deep-learning-empowered computational spectral imaging methods. They are further divided into amplitude-coded, phase-coded, and wavelength-coded methods, based on different light properties used for encoding. To boost future researches, we’ve also organized publicly available spectral ...
Deep learningNeuroimagingThe purpose of this pilot study was to evaluate if a deep learning network can be used for brain segmentation of grey and white matter using spectral computed tomography (CT) images. Spectral CT has the advantage of a lower noise level and an increased soft tissue ...
Deep Learning-based Image Fusion: A Survey. Contribute to Linfeng-Tang/Image-Fusion development by creating an account on GitHub.
Deep learning (DL)-based source imaging alleviates these challenges of current ESI approaches. They aim at capturing the correct mapping relationship between signal and source spaces through learning from a large amount of training data, instead of explicitly speculating the features of underlying source...
To meet the growing cardiovascular needs of healthcare providers, Canon Medical Systems USA, Inc. is breaking ground once again with the introduction of Deep Learning Spectral CT for cardiovascular imaging. The Aquilion ONE/PRISM Edition now offers one-beat spectral cardiac CT imaging. Thanks to th...
Multi-modality is widely used in medical imaging, because it can provide multiinformation about a target (tumor, organ or tissue). Segmentation using multimodality consists of fusing multi-information to improve the segmentation. Recently, deep learning-based approaches have presented the state-of-the...
We investigated the effect of deep learning-based image reconstruction (DLIR) compared to iterative reconstruction on image quality in CT pulmonary angiography (CTPA) for suspected pulmonary embolism (PE). For 220 patients with suspected PE, CTPA studies were reconstructed using filtered back projection...