Deep Learning for Advanced X-ray Detection and Imaging Applications
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Beschreibung
This book provides a comprehensive overview of the latest advances in applying Artificial Intelligence (AI) to advanced X-ray imaging, with a particular focus on its medical applications. Readers will discover why AI is set to revolutionize traditional signal processing and image reconstruction with vastly improved performance. The authors illustrate how Machine Learning (ML) and Deep Learning (DL) significantly advance X-ray detection analysis, image reconstruction, and other crucial steps. This book also reveals how these technologies enable photon counting detector-based X-ray Computed Tomography (CT), which has the potential not only to improve current CT images but also enable new clinical applications, such as providing higher spatial resolution, better soft tissue contrast, K-edge imaging, and simultaneous multi-contrast agent imaging.
- Explores the latest advances in applying Artificial Intelligence to advanced X-ray imaging;
- Provides reviews on innovative techniques for signal formation and image reconstruction process;
- Showcases the application of deep learning algorithms in Photon-Counting CT.
This book provides a comprehensive overview of the latest advances in applying Artificial Intelligence (AI) to advanced X-ray imaging, with a particular focus on its medical applications. Readers will discover why AI is set to revolutionize traditional signal processing and image reconstruction with vastly improved performance. The authors illustrate how Machine Learning (ML) and Deep Learning (DL) significantly advance X-ray detection analysis, image reconstruction, and other crucial steps. This book also reveals how these technologies enable photon counting detector-based X-ray Computed Tomography (CT), which has the potential not only to improve current CT images but also enable new clinical applications, such as providing higher spatial resolution, better soft tissue contrast, K-edge imaging, and simultaneous multi-contrast agent imaging.
Discusses some of the most recent advances in the field of Artificial Intelligence use for advanced X-ray imaging Includes an introduction to novel techniques for Spectral Computed Tomography Demonstrates use of deep learning algorithms and analysis of image reconstruction software for X-ray detection
Autor*in
Krzysztof (Kris) Iniewski
Themen in »Deep Learning for Advanced X-ray Detection and Imaging Applications«
X-ray Image Classification Using Deep Learning X-ray image reconstruction and analysis Photon counting detector Deep Learning CT reconstruction Deep Learning Spectral CT