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

    Spectral Multi-Detector Computed Tomography (sMDCT) by Tang, Xiangyang;

    Data Acquisition, Image Formation, Quality Assessment and Contrast Enhancement

    Series: Series in Medical Physics and Biomedical Engineering;

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      • Publisher's listprice GBP 49.99
      • The price is estimated because at the time of ordering we do not know what conversion rates will apply to HUF / product currency when the book arrives. In case HUF is weaker, the price increases slightly, in case HUF is stronger, the price goes lower slightly.

        23 882 Ft (22 745 Ft + 5% VAT)
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    Estimated delivery time: In stock at the publisher, but not at Prospero's office. Delivery time approx. 3-5 weeks.
    Not in stock at Prospero.

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    Product details:

    • Edition number 1
    • Publisher CRC Press
    • Date of Publication 26 June 2025

    • ISBN 9781032518220
    • Binding Paperback
    • No. of pages292 pages
    • Size 234x156 mm
    • Weight 540 g
    • Language English
    • Illustrations 52 Illustrations, black & white; 56 Illustrations, color; 32 Halftones, black & white; 18 Halftones, color; 20 Line drawings, black & white; 38 Line drawings, color; 10 Tables, black & white
    • 673

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    Short description:

    X-ray computed tomography (CT) has been one of the most popular diagnostic imaging modalities for decades in the clinic for saving patients’ life 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).

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    Long description:

    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.


    Features



    • 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

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    Table of Contents:

    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.

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