Deep Tomographic Image Reconstruction: Yesterday, Today, and Tomorrow—Editorial for the 2nd Special Issue “Machine Learning for Image Reconstruction”
Ge Wang, Mathews Jacob, Xuanqin Mou, Yongyi Shi, Yonina C. Eldar
Abstract
As a follow-up to the first IEEE Transactions on Medical Imaging (TMI) special issue on the theme of deep tomographic reconstruction, the second special issue is assembled to reflect the status and momentum of this rapidly emerging field. In this editorial, we provide a brief background illustrating the motivation for the development of network-based, data-driven, and learning-oriented reconstruction methods, summarize the included papers, and report our verification of the shared deep learning codes. Finally, we discuss several important research topics to facilitate further investigation and collaboration.
Topics & Concepts
YesterdayDeep learningComputer scienceField (mathematics)Iterative reconstructionArtificial intelligenceTomographic reconstructionTheme (computing)Data scienceMedical imagingWorld Wide WebAstronomyPhysicsMathematicsPure mathematicsMedical Imaging Techniques and ApplicationsAdvanced MRI Techniques and ApplicationsAdvanced X-ray and CT Imaging