Textbook in PDF format

This book will provide readers with a good overview of some of most recent advances in the field of Photon Counting CT technology for X-ray medical imaging, especially as it pertains to new detectors. There will be a good mixture of general chapters in both technology and applications in CT medical imaging. The book will have an in-depth review of the research topics from world-leading specialists in the field. The conversion of the X-ray signal into analogue/digital value will be covered in some chapters. The authors also provide a review of CMOS chips for X-ray image sensors, methods of material discrimination and image reconstruction techniques. Covers a broad range of topics, including an introduction to novel spectral Computed Tomography;Includes in-depth analysis on how to optimize X-ray detection;Discusses analysis of electronics for X-ray detection. Editors Biography Clinical Applications Medical Photon-Counting CT: Status and Clinical ApplicationsReview Coronary Artery Calcifications Assessment with Photon-counting Detector Computed Tomography MARS for Orthopaedic Pathology MARS for Molecular Imaging and Preclinical Studies Quantitative Breast Lesion Characterization with Spectral Mammography: A Feasibility Study Quantitative Breast Imaging with Low-Dose Spectral Mammography Image Reconstruction and Material Discrimination An Overview of CT Reconstruction with Applications to Photon Counting Detectors On the Choice of Base Materials for Alvarez–Macovski and DIRA Dual-energy Reconstruction Algorithms in CT Spectral Imaging in Photon-Counting CT with Data Acquired in Interleaved/Gapped Spectral Channels One-Step Basis Image Reconstruction in Spectral CT Based on MAP-EM Algorithm and Polar Coordinate Transformation Quantitative Analysis Methodology of X-Ray Attenuation for Medical Diagnostic Imaging: Algorithm to Derive Effective Atomic Number, Soft Tissue and Bone Images K-Edge Imaging in Spectral Photon-Counting Computed Tomography: A Benchtop System Study Image Domain Performance Evaluation of a Photon-counting ASIC Using a Multilayer Perceptron Network Index