Spectral imaging is an umbrella term for energy-resolved x-ray imaging in medicine. The technique makes use of the energy dependence of x-ray attenuation to either increase the contrast-to-noise ratio, or to provide quantitative image data and reduce image artefacts by so-called material decomposition. Spectral imaging is not new, but has gained interest in recent years because of rapidly increasing availability of spectral and dual-energy CT and the dawn of energy-resolved photon-counting detectors. This review examines the current technological status of spectral and dual-energy imaging and a number of practical applications of the technology.
On imaging capabilities of the Imaging and Medical beamline at the Australian Synchrotron
University of Melbourne（墨尔本大学）；University of Canterbury（坎特伯雷大学）；Monash University（蒙纳士大学）；University of New England（新英格兰大学）；Australian Synchrotron, Australian Nuclear Science and Technology Organisation（澳大利亚同步辐射加速器，澳大利亚核科学和技术组织）；Instruments & Data Tools Pty Ltd（仪器与数据工具私人有限公司）
Learning Personalized Representation for Inverse Problems in Medical Imaging Using Deep Neural Network
Gordon Center for Medical Imaging（戈登医学影像中心）；Massachusetts General Hospital（麻省总医院）；Martinos Center for Biomedical Imaging（马蒂诺斯生物医学影像中心）；University of California, Davis（加州大学戴维斯分校）
Physics-Inspired Generative Models in Medical Imaging: A Review
KTH Royal Institute of Technology（瑞典皇家理工学院）；Karolinska University Hospital（卡罗林斯卡大学医院）；University of Regensburg（雷根斯堡大学）；Fraunhofer Institute for Digital Medicine MEVIS（弗劳恩霍夫数字医学MEVIS研究所）；Rensselaer Polytechnic Institute（伦斯勒理工学院）
Computing support for advanced medical data analysis and imaging
National Centre for Nuclear Research（国家核研究中心）；Institute of Physics, Jagiellonian University（雅盖隆大学物理研究所）；Faculty of Chemistry, Jagiellonian University（雅盖隆大学化学学院）
