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Titlebook: Emerging Radiation Detection; Technology and Appli Kris Iniewski,Harish Gadey Book 2024 The Editor(s) (if applicable) and The Author(s), un

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书目名称Emerging Radiation Detection
副标题Technology and Appli
编辑Kris Iniewski,Harish Gadey
视频video
概述Provides an overview of some of the most recent advances in the field of X-ray and Gamma-ray detection technologies.Includes coverage of the conversion of the X-ray signal into analogue/digital value.
图书封面Titlebook: Emerging Radiation Detection; Technology and Appli Kris Iniewski,Harish Gadey Book 2024 The Editor(s) (if applicable) and The Author(s), un
描述.This book provides readers an overview of emerging trends in the radiation detection field. Detailed in many of the chapters are specific aspects of radiation detectors, including comprehensive reviews of the historical development, and current state of each topic. The authors particularly cover emerging detection materials and detectors. High-Z materials like CdTe, CZT and GaAs offer the best implementation possibility of direct conversion X-ray detectors and are covered in this book. The authors discuss material challenges, detector operation physics and technology, and readout integrated circuits required to detect signals processes by high-Z sensors. Authors also contrast these emerging technologies with more established ones based on scintillator materials..
出版日期Book 2024
关键词Radiation sensors; Radiation Interactions with Matter; X-ray and Gamma-ray detector technologies; Semic
版次1
doihttps://doi.org/10.1007/978-3-031-63897-8
isbn_softcover978-3-031-63899-2
isbn_ebook978-3-031-63897-8
copyrightThe Editor(s) (if applicable) and The Author(s), under exclusive license to Springer Nature Switzerl
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Photon-Counting Computed Tomography (PCCT) for Radiation Therapy,uation, respectively, were scanned at a clinical PCCT scanner (NAEOTOM Alpha, Siemens Healthineers, Forchheim, Germany) at a tube voltage of 120 kVp with 40 mGy CTDI.. VMIs with 1 mm slice thickness and 0.38.0.38 mm. pixel size were reconstructed at energies ranging from 40 keV to 190 keV in 10 keV
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New Approaches for Metal Artifact Reduction in Computed Tomography,e thoroughly addressed in this chapter. These challenges encompass the introduction of an additional regularization step aimed at minimizing interpolation-related artifacts. Moreover, an advanced frequency split is proposed, which facilitates a better restoration of details by suppressing high-frequ
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Clinical Applications of Low-Dose Dental Cone-Beam Computed Tomography,sks in dental clinics. This chapter also discusses digital dentistry applications such as 3D jaw–teeth–face model-based postoperative prediction and cephalometric landmarking, in which sophisticated maxillofacial imaging is a crucial component.
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Machine Learning for Contaminant Detection in X-Ray Spectral Photon Counting,g, for example, chicken bones in tested poultry, this study developed efficient hardware and software solutions to accomplish that objective. The hardware platform used in this study has been described elsewhere while machine learning software used to enhance the detection performance is presented h
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