Spectral, Photon Counting Computed Tomography (eBook, ePUB)
Technology and Applications
Redaktion: Taguchi, Katsuyuki; Iniewski, Krzysztof; Blevis, Ira
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Spectral, Photon Counting Computed Tomography (eBook, ePUB)
Technology and Applications
Redaktion: Taguchi, Katsuyuki; Iniewski, Krzysztof; Blevis, Ira
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The book discusses latest developments in the most prevalent imaging modality (X-ray Computed Tomography (CT)) in its latest incarnation: Spectral, Dual-Energy and Photon Counting CT. It covers detectors and electronics, image quality assessments, a simulation tool, nanoparticle contrast agents, and clinical applications for spectral CT.
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- Größe: 22.38MB
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The book discusses latest developments in the most prevalent imaging modality (X-ray Computed Tomography (CT)) in its latest incarnation: Spectral, Dual-Energy and Photon Counting CT. It covers detectors and electronics, image quality assessments, a simulation tool, nanoparticle contrast agents, and clinical applications for spectral CT.
Dieser Download kann aus rechtlichen Gründen nur mit Rechnungsadresse in A, B, BG, CY, CZ, D, DK, EW, E, FIN, F, GR, HR, H, IRL, I, LT, L, LR, M, NL, PL, P, R, S, SLO, SK ausgeliefert werden.
Produktdetails
- Produktdetails
- Verlag: Taylor & Francis
- Seitenzahl: 440
- Erscheinungstermin: 14. Juli 2020
- Englisch
- ISBN-13: 9780429941993
- Artikelnr.: 59754986
- Verlag: Taylor & Francis
- Seitenzahl: 440
- Erscheinungstermin: 14. Juli 2020
- Englisch
- ISBN-13: 9780429941993
- Artikelnr.: 59754986
- Herstellerkennzeichnung Die Herstellerinformationen sind derzeit nicht verfügbar.
Katsuyuki "Ken" Taguchi, Ph.D. is Professor in The Russell H. Morgan Department of Radiology and Radiological Science, The Johns Hopkins University School of Medicine. He has pioneered and implemented algorithms for prototypes and commercial scanners such as multi-slice CT in 1998, cardiac CT in 2000, and 256-slice CT in 2002. Due to those seminal works and his significant contribution, Dr. Taguchi has received IEEE Nuclear and Plasma Sciences Society 2008 Young Investigator Medical Imaging Science Award. Ira Blevis is Principal Scientist in Philips Healthcare developing semiconductor radiation detectors and Photon Counting CT based on them. Recent progress with the detectors led to a prototype PC scanner based on CZT which served as a basis for an EU H2020 grant awarded to develop a full size prototype for clinical use; Ira served a term as Director of the Philips Project and serves as Philips PI on the Grant. Krzysztof (Kris) Iniewski is managing R&D development activities at Redlen Technologies Inc., a compound semiconductor detector company based in British Columbia, Canada. During his 12 years at Redlen he managed development of highly integrated CZT detector products in medical imaging and security applications.
PART I Spectral, Dual-Energy CT: Clinical Perspective and Applications.
Chapter 1 Spectral Imaging Technologies and Apps and Dual-Layer Detector
Solution. Chapter 2 Clinical Applications of Dual Energy CT in
Neuroradiology. Chapter 3 Clinical Perspective on Dual Energy Computed
Tomography. PART II Spectral, Photon-Counting CT: Clinical Perspective and
Applications. Chapter 4 Imaging of the Breast with Photon- Counting
Detectors. Chapter 5 Clinical Applications of Photon-Counting Detector
Computed Tomography. Chapter 6 Clinical Perspectives of Spectral
Photon-Counting CT. Chapter 7 Spectral CT imaging using MARS Scanners.
Chapter 8 Advances in and Uses of Contrast Agents for Spectral Photon
Counting Computed Tomography. Chapter 9 Clinical Applications of Spectral
Computed Tomography: Enabling Technique for Novel Contrast Developments and
Targeting Imaging?. PART III Photon-Counting Detectors for Spectral CT.
Chapter 10 X-ray Detectors for Spectral Photon Counting CT. Chapter 11
Spectral Performance of Photon-Counting X-Ray Detectors: How Well Can We
Capture the Rainbow?. Chapter 12 Photon Counting Detectors Viewed as
Non-Linear, Shift-Variant Systems. Chapter 13 Signal Generation in
Semiconductor Detectors for Photon-Counting CT. Chapter 14 Application
Specific Integrated Circuits (ASICs) for Spectral Photon Counting. Chapter
15 ChromAIX: Energy-Resolving Photon Counting Electronics for High-Flux
Spectral CT. Chapter 16 Modelling the Imaging Performance of Photon
Counting X-Ray Detectors. Chapter 17 Design Considerations for Photon
Counting Detectors: Connecting Detector Characteristics to System
Performance. Chapter 18 Photon Counting Detector Simulator: Photon Counting
Toolkit (PcTK). PART IV Image Reconstruction for Spectral CT. Chapter 19
Image Formation in Spectral Computed Tomography. Chapter 20 Spectral
Distortion Compensation for Spectral CT. Chapter 21 Novel Regularization
Method with Knowledge of Region Types and Boundaries.
Chapter 1 Spectral Imaging Technologies and Apps and Dual-Layer Detector
Solution. Chapter 2 Clinical Applications of Dual Energy CT in
Neuroradiology. Chapter 3 Clinical Perspective on Dual Energy Computed
Tomography. PART II Spectral, Photon-Counting CT: Clinical Perspective and
Applications. Chapter 4 Imaging of the Breast with Photon- Counting
Detectors. Chapter 5 Clinical Applications of Photon-Counting Detector
Computed Tomography. Chapter 6 Clinical Perspectives of Spectral
Photon-Counting CT. Chapter 7 Spectral CT imaging using MARS Scanners.
Chapter 8 Advances in and Uses of Contrast Agents for Spectral Photon
Counting Computed Tomography. Chapter 9 Clinical Applications of Spectral
Computed Tomography: Enabling Technique for Novel Contrast Developments and
Targeting Imaging?. PART III Photon-Counting Detectors for Spectral CT.
Chapter 10 X-ray Detectors for Spectral Photon Counting CT. Chapter 11
Spectral Performance of Photon-Counting X-Ray Detectors: How Well Can We
Capture the Rainbow?. Chapter 12 Photon Counting Detectors Viewed as
Non-Linear, Shift-Variant Systems. Chapter 13 Signal Generation in
Semiconductor Detectors for Photon-Counting CT. Chapter 14 Application
Specific Integrated Circuits (ASICs) for Spectral Photon Counting. Chapter
15 ChromAIX: Energy-Resolving Photon Counting Electronics for High-Flux
Spectral CT. Chapter 16 Modelling the Imaging Performance of Photon
Counting X-Ray Detectors. Chapter 17 Design Considerations for Photon
Counting Detectors: Connecting Detector Characteristics to System
Performance. Chapter 18 Photon Counting Detector Simulator: Photon Counting
Toolkit (PcTK). PART IV Image Reconstruction for Spectral CT. Chapter 19
Image Formation in Spectral Computed Tomography. Chapter 20 Spectral
Distortion Compensation for Spectral CT. Chapter 21 Novel Regularization
Method with Knowledge of Region Types and Boundaries.
PART I Spectral, Dual-Energy CT: Clinical Perspective and Applications.
Chapter 1 Spectral Imaging Technologies and Apps and Dual-Layer Detector
Solution. Chapter 2 Clinical Applications of Dual Energy CT in
Neuroradiology. Chapter 3 Clinical Perspective on Dual Energy Computed
Tomography. PART II Spectral, Photon-Counting CT: Clinical Perspective and
Applications. Chapter 4 Imaging of the Breast with Photon- Counting
Detectors. Chapter 5 Clinical Applications of Photon-Counting Detector
Computed Tomography. Chapter 6 Clinical Perspectives of Spectral
Photon-Counting CT. Chapter 7 Spectral CT imaging using MARS Scanners.
Chapter 8 Advances in and Uses of Contrast Agents for Spectral Photon
Counting Computed Tomography. Chapter 9 Clinical Applications of Spectral
Computed Tomography: Enabling Technique for Novel Contrast Developments and
Targeting Imaging?. PART III Photon-Counting Detectors for Spectral CT.
Chapter 10 X-ray Detectors for Spectral Photon Counting CT. Chapter 11
Spectral Performance of Photon-Counting X-Ray Detectors: How Well Can We
Capture the Rainbow?. Chapter 12 Photon Counting Detectors Viewed as
Non-Linear, Shift-Variant Systems. Chapter 13 Signal Generation in
Semiconductor Detectors for Photon-Counting CT. Chapter 14 Application
Specific Integrated Circuits (ASICs) for Spectral Photon Counting. Chapter
15 ChromAIX: Energy-Resolving Photon Counting Electronics for High-Flux
Spectral CT. Chapter 16 Modelling the Imaging Performance of Photon
Counting X-Ray Detectors. Chapter 17 Design Considerations for Photon
Counting Detectors: Connecting Detector Characteristics to System
Performance. Chapter 18 Photon Counting Detector Simulator: Photon Counting
Toolkit (PcTK). PART IV Image Reconstruction for Spectral CT. Chapter 19
Image Formation in Spectral Computed Tomography. Chapter 20 Spectral
Distortion Compensation for Spectral CT. Chapter 21 Novel Regularization
Method with Knowledge of Region Types and Boundaries.
Chapter 1 Spectral Imaging Technologies and Apps and Dual-Layer Detector
Solution. Chapter 2 Clinical Applications of Dual Energy CT in
Neuroradiology. Chapter 3 Clinical Perspective on Dual Energy Computed
Tomography. PART II Spectral, Photon-Counting CT: Clinical Perspective and
Applications. Chapter 4 Imaging of the Breast with Photon- Counting
Detectors. Chapter 5 Clinical Applications of Photon-Counting Detector
Computed Tomography. Chapter 6 Clinical Perspectives of Spectral
Photon-Counting CT. Chapter 7 Spectral CT imaging using MARS Scanners.
Chapter 8 Advances in and Uses of Contrast Agents for Spectral Photon
Counting Computed Tomography. Chapter 9 Clinical Applications of Spectral
Computed Tomography: Enabling Technique for Novel Contrast Developments and
Targeting Imaging?. PART III Photon-Counting Detectors for Spectral CT.
Chapter 10 X-ray Detectors for Spectral Photon Counting CT. Chapter 11
Spectral Performance of Photon-Counting X-Ray Detectors: How Well Can We
Capture the Rainbow?. Chapter 12 Photon Counting Detectors Viewed as
Non-Linear, Shift-Variant Systems. Chapter 13 Signal Generation in
Semiconductor Detectors for Photon-Counting CT. Chapter 14 Application
Specific Integrated Circuits (ASICs) for Spectral Photon Counting. Chapter
15 ChromAIX: Energy-Resolving Photon Counting Electronics for High-Flux
Spectral CT. Chapter 16 Modelling the Imaging Performance of Photon
Counting X-Ray Detectors. Chapter 17 Design Considerations for Photon
Counting Detectors: Connecting Detector Characteristics to System
Performance. Chapter 18 Photon Counting Detector Simulator: Photon Counting
Toolkit (PcTK). PART IV Image Reconstruction for Spectral CT. Chapter 19
Image Formation in Spectral Computed Tomography. Chapter 20 Spectral
Distortion Compensation for Spectral CT. Chapter 21 Novel Regularization
Method with Knowledge of Region Types and Boundaries.