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An up-to-date guide to CT that offers a comprehensive discussion of the technology and science of computed tomography and instructions for applying that knowledge to real-world practice
Rad Tech’s Guide to Computed Tomography: Physics and Instrumentation is a comprehensive and accessible approach to learning the physics and instrumentation of CT. The text offers an intuitively organized treatment of the history of CT development, data acquisition, image reconstruction, and the relationship between image quality and radiation dose.
Using clear language, hands-on examples and useful diagrams, the book is written to demystify complex topics like Hounsfield units, attenuation coefficients, and interpolation algorithms, without compromising technical accuracy. This is an educational resource that shows readers how to perform imaging that generates diagnostically useful results that keep patients safe.
Readers will find:
Perfect for students preparing to take professional certification examinations in CT, Rad Tech’s Guide to Computed Tomography will also benefit practicing technologists interested in advancing their understanding, refining their technique, and expanding their professional skillset.
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Seitenzahl: 151
Veröffentlichungsjahr: 2026
Cover
Table of Contents
Title Page
Copyright Page
Dedication Page
Foreword
Preface
Acknowledgments
1 The Invention of the CT Scanner and the Nobel Prize
Computed Tomography: A Definition
Three Major Stages of CT Imaging
Invention of the CT Scanner: The Nobel Prize for Pioneers Godfrey Hounsfield and Alan Cormack
Evolution of CT Scanners Leading to Present‐Day Multi‐Slice CT Imaging
References
2 Essential Physics of CT
Introduction
Radiation Attenuation: Essential Physics Related to CT Imaging
Attenuation and Hounsfield Units
The CT Gray‐Scale Image
References
3 Data Acquisition: Principles and Technology
What Is Data Acquisition?
Types of Data Acquisition
Major Technical Data Acquisition Components
Detectors: Types, Principles, and Technology
References
4 Image Reconstruction Principles
Image Reconstruction: A Definition
Image Reconstruction Algorithms
Artificial Intelligence and Its Subsets: Definitions
References
5 Multi‐Slice CT: Principles and Instrumentation
What Is Multi‐Slice CT (MSCT)?
MSCT System Components
Selectable Scan Parameters
Advantages of MSCT
References
6 Image Postprocessing
Scope of Image Processing
Windowing: Effect on Image Contrast and Image Brightness
Multiplanar Image Reformatting
Advanced Image Postprocessing Techniques
References
7 Image Quality
What Is Image Quality in Computed Tomography?
Spatial Resolution
Low‐Contrast Resolution
Noise
Artifacts in a Nutshell
References
8 CT Radiation Dose Considerations
CT Dose Trends
The Basics of CT Dosimetry
Factors Affecting the Dose in CT
Dose Optimization
References
9 CT Quality Control for Technologists/Radiographers
Quality Assurance/Quality Control: Definitions
Essential Steps in QC
Tolerance Limits/Acceptance Criteria
Equipment for QC Testing
Routine QC Tests for the CT Technologist
References
Index
End User License Agreement
Chapter 1
Table 1.1 Brief biographies of the pioneers of the CT scanner.
Chapter 2
Table 2.1 The Hounsfield scale for several tissues.
Chapter 1
Figure 1.1 CT imaging produces images of transverse axial sections of the pati...
Figure 1.2 Current CT scanners have the processing capabilities to use two‐dim...
Figure 1.3 The three major stages of CT imaging, namely data acquisition, imag...
Figure 1.4 An elaboration of the three stages noted in Figure 1.3.
Figure 1.5 Essential features of the PACS‐AI platform.
Figure 1.6 CT coronary angiography. The image on the left shows a 3D model of ...
Figure 1.7 Functional testing using CT‐FFR. The image on the left shows an int...
Chapter 2
Figure 2.1 The collection of radiation attenuation readings from the patient....
Figure 2.2 Attenuation of a homogeneous beam follows an exponential curve desc...
Figure 2.3 Attenuation following a single ray of the x‐ray beam through a sing...
Figure 2.4 Attenuation through a single voxel containing water, and subsequent...
Figure 2.5 CT numbers (HUs) displayed as a digital image, where numerical valu...
Figure 2.6 Basic steps in converting a numerical image into a gray‐scale image...
Chapter 3
Figure 3.1 The evolution of CT beam geometries and detector types.
Figure 3.2 Volume data acquisition using spiral/helical beam geometry characte...
Figure 3.3 Major technical components that play a role in collecting attenuati...
Figure 3.4 The shape of the bow‐tie filter not only removes low‐energy photons...
Figure 3.5 The major system components of two classes of CT detectors: energy‐...
Figure 3.6 Schematic drawings of the side and top views of an energy‐integrati...
Figure 3.7 The signal pulses induced by absorbed x‐rays in a photon‐counting d...
Figure 3.8 Comparison of spatial resolution in the phantom images between ultr...
Figure 3.9 The major technical system components of the data acquisition syste...
Chapter 4
Figure 4.1 Data collection and conversion of attenuation values into profiles ...
Figure 4.2 Three types of algorithms and the time periods of use in CT, includ...
Figure 4.3 The basic steps of the FBP algorithm.
Figure 4.4 Flowchart showing the fundamental difference between the FBP and IR...
Figure 4.5 Flowchart illustrating the basic steps of an IR algorithm without m...
Figure 4.6 A Venn diagram illustrating AI and its subsets, ML and DL. While ML...
Figure 4.7 Typical architecture of a simple convolutional neural network, cons...
Figure 4.8 Implementation of a simple convolution neural network model to iden...
Figure 4.9 A generalized overview of the use of a neural network in CT image r...
Figure 4.10 An overview of how a CT Deep Learning Reconstruction Engine is tra...
Chapter 5
Figure 5.1 A brief summary of the development of MSCT scanners.
Figure 5.2 The major design difference between SSCT and MSCT detector arrays. ...
Figure 5.3 The path traced by the x‐ray beam as the patient moves through the ...
Figure 5.4 The major difference between two types of slip rings scanners: a lo...
Figure 5.5 The use of interpolation in MSCT.
Figure 5.6 The basic difference between the 360° and 180° linear interpolation...
Figure 5.7 The fundamental difference between two MSCT detector designs used b...
Figure 5.8 The process of binning the detector elements in MSCT determines the...
Figure 5.9 The effect of pitch on image quality and radiation dose.
Chapter 6
Figure 6.1 Image processing includes preprocessing operations and post process...
Figure 6.2 Definitions of window width (WW) and window level (WL).
Figure 6.3 The assignment of gray levels to shades of gray creating a gray‐sca...
Figure 6.4 The effect of window width (WW) on image contrast. While keeping th...
Figure 6.5 The effect of window level (WL) on the brightness of an image. Whil...
Figure 6.6 Curved multiplanar reconstructions (cMPR) of the right coronary (RC...
Figure 6.7 Four essential steps of 3D operations leading to the creation of se...
Figure 6.8 Contrast‐enhanced 3D CT images after endovascular stent graft treat...
Chapter 7
Figure 7.1 The MTF can be obtained by using the line‐pair test pattern.
Figure 7.2 Since the CT image is inherently a digital image, the spatial resol...
Figure 7.3 In CT imaging, thinner slices result in sharper images.
Figure 7.4 Two images of a contrast resolution test tool. While the image show...
Figure 7.5 Image noise shown in two images of the abdomen. It is visually clea...
Figure 7.6 Image noise in CT is illustrated on this 4 × 4 matrix.
Figure 7.7 Increasing the number of photons from an average of 200 per unit ar...
Chapter 9
Figure 9.1 The format of conducting CT QC tests as outlined by the American Co...
Figure 9.2 A conceptual overview of tolerance limits in quality control testin...
Figure 9.3 The SMPTE test pattern for use in CT QC testing of display monitors...
Figure 9.4 The four modules of the ACR CT QC phantom and associated images. Wh...
Cover Page
Table of Contents
Title Page
Copyright Page
Dedication Page
Foreword
Preface
Acknowledgments
Begin Reading
Index
Wiley End User License Agreement
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Euclid Seeram
Medical Imaging and Radiation Sciences, Monash University, Melbourne, Australia
Medical Radiation Sciences, Faculty of Health, University of Canberra, Canberra, Australia
Vision, Compassion, Awareness (VCA) Education Solutions for Health Professionals Inc., Toronto, Ontario, Canada
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This book is dedicated to my smart, caring, charming, and loving wife, Trish, with love and blessings forever.
Over the past several decades, medical imaging has transformed how clinicians diagnose and treat diseases. Among the most significant advancements in this field is the development of Computed Tomography (CT), a modality that allows for non‐invasive, highly detailed visualization of internal anatomy. From the early experiments that brought us the first CT images to the sophisticated, multi‐slice, AI‐enhanced scanners of today, the journey of CT has been nothing short of revolutionary. As this technology becomes increasingly complex and indispensable, the need for radiologic technologists to grasp the underlying science grows ever more urgent.
Rad Tech’s Guide to Computed Tomography: Physics and Instrumentation arrives at a critical moment. With the continued integration of advanced algorithms, dose optimization strategies, and quality assurance protocols, technologists are expected to do more than operate equipment. They must understand how it works, how to optimize its use, and how to ensure it performs at its highest potential for the safety and benefit of patients. This guide provides a comprehensive yet accessible approach to learning CT physics and instrumentation. The book is organized into logically progressing chapters that cover essential topics such as the historical development of CT, principles of data acquisition, image reconstruction, and the relationship between image quality and radiation dose. Particularly valuable is the inclusion of chapters dedicated to quality control, a domain often overlooked but vitally important in ensuring consistent diagnostic performance and patient radiation safety.
Each chapter is designed to support learners at various levels. Students entering the field will benefit from the clear, step‐by‐step explanations of key concepts, while seasoned technologists will find the text to be an excellent refresher and reference tool as new technologies emerge. The inclusion of updated content on artificial intelligence, iterative reconstruction, and multi‐slice CT demonstrates the book’s commitment to staying current with technological advancements and clinical realities.
The strength of this guide lies not only in its technical accuracy but also in its educational clarity. The author presents difficult concepts with admirable simplicity, using language that respects the learner’s starting point while guiding them toward deeper understanding. Concepts such as Hounsfield Units, attenuation coefficients, and interpolation algorithms are demystified through practical examples, thoughtful diagrams, and well‐structured narratives. The chapter on radiation dose, for instance, goes beyond definitions to explore the ethical and clinical implications of dose management, underscoring the vital role that technologists play in protecting patients while achieving diagnostic excellence.
It is also important to acknowledge the author behind this outstanding work. Dr. Euclid Seeram, a globally respected educator and pioneer in medical imaging, brings to this book the weight of decades of scholarship, teaching, and innovation. With over 35 published textbooks and more than 60 peer‐reviewed papers, Dr. Seeram’s contributions have shaped generations of radiologic technologists around the world. His unwavering commitment to high standards in diagnostic imaging quality and patient‐centered care has left an indelible mark on the profession. For many of us, our own journey in CT imaging began by reading his foundational texts.
In sum, this book stands out as both a scholarly and practical resource, well suited to formal classroom settings, clinical environments, or personal study. It provides the kind of foundation that empowers technologists to not only pass certification exams, but to practice with confidence and care.
I commend Dr. Seeram for creating a guide that fills an important gap in the literature on radiologic technology. With its balanced combination of rigor and readability, Rad Tech’s Guide to Computed Tomography: Physics and Instrumentation is poised to become a staple in the professional development of CT technologists for years to come.
Valentina Al Hamouche, RTR, BSc. (Hons), MSc.
CEO, VCA Education Solutions for Health Professionals Inc.
Toronto, Ontario, Canada
Computed Tomography (CT) is a sectional x‐ray imaging technique introduced in the 1970s and one that has been labeled a revolutionary evolution in the medical imaging community. Through the years, there have been significant advancements and improvements in CT physics and technology for the benefit of the patient. The evolution of CT from its beginnings to the present day has been described in the literature. Two most notable articles include one by Hsieh and Flohr entitled “Computed tomography recent history and future perspectives,” published in the Journal of Medical Imaging in 2021, and the other by McCollough and Rajiah, published in Radiology in 2023.
The major purpose of this book, Rad Tech’s Guide to Computed Tomography: Physics and Instrumentation, is to provide a comprehensive coverage of the developments and technical innovations in CT evolution. This guide is intended to serve as a useful resource for not only students preparing to write professional certification examinations in CT, but practitioners, throughout the globe.
