1st Edition

Spectral Multi-Detector Computed Tomography (sMDCT) Data Acquisition, Image Formation, Quality Assessment and Contrast Enhancement

By Xiangyang Tang Copyright 2023
    292 Pages 56 Color & 52 B/W Illustrations
    by CRC Press

    292 Pages 56 Color & 52 B/W Illustrations
    by CRC Press

    X-ray computed tomography (CT) has been one of the most popular diagnostic imaging modalities for decades in the clinic for saving patients’ lives or improving their quality of life. This book is an introductory one-stop shop for technological and clinical topics in multi-detector computed tomography (MDCT).

    Starting with MDCT’s fundamentals in physics and mathematics, the book provides an in-depth introduction to its system architecture and imaging chain, signal detection via energy-integration and photon-counting mechanisms, clinical application-driven scan modes and protocols, analytic and iterative image reconstruction solutions, and spectral imaging – the latest technological advancement in MDCT. The book extends its coverage on image quality assessment under the theory of signal detection and statistical decision. In recognition of its clinical relevance for conspicuity enhancement in angiographic and parenchymal imaging applications, the book features a chapter dedicated to the fundamental (chemical, physical and physicochemical) properties and clinical administration of iodinated contrast agent. The book ends with an outlook of the contrast agents that are novel in material and delivery, and their synergy with spectral MDCT to elevate CT’s contrast resolution in cardiovascular, neurovascular and oncologic applications. This book will be an invaluable reference for researchers, engineers, radiological physicians and technologists, and graduate and senior undergraduate students.


    • Provides an accessible introduction to the subject
    • Up to date with the latest advances in emerging technologies and procedures
    • Provides a historical overview of CT technology

    Chapter 1: Introduction. Chapter 2: Fundamentals in Mathematics for MDCT. Chapter 3: Fundamentals in Physics for MDCT. Chapter 4: Image Formation via Analytic Reconstruction Algorithms. Chapter 5: Image Formation via Iterative Reconstruction Algorithms. Chapter 6: Assessment of Image Quality in MDCT under Theory of Signal Detection and Statistical Decision. Chapter 7: Spectral MDCT (I): Physics, Data Acquisition and Image Formation. Chapter 8: Spectral MDCT (II): Optimization of Image Quality for Clinical Applications. Chapter 9: Contrast Agents for MDCT: Fundamentals, State-of-the-art and Outlook. Chapter 10: Challenges and Opportunities in Photon-counting Spectral MDCT.


    Xiangyang Tang is an imaging scientist with extensive R&D experience in industry (GE Healthcare), academia (Emory University School of Medicine) and the clinic (Emory Healthcare).

    With a focus on computed tomography, Dr. Tang has been working in the field of medical imaging for more than 20 years. He is Professor of Radiology and Imaging Sciences at Emory University School of Medicine, Fellow of SPIE (International Society for Optics and Photonics) and Fellow of AAPM (American Association of Physicists in Medicine). Along with the publication of more than 200 papers in leading scientific journals and conferences, his contributions to the scientific community include serving as Associate Editor for a number of prestigious journals, in addition to working on the scientific committees of leading conferences and panels for numerous federal and foundational study sections.