Ultrasound Physics and Technology
How, Why and When
2. Auflage
Churchill Livingstone
ISBN 978-0-443-40923-3
Standardpreis
Bibliografische Daten
Buch. Softcover
2. Auflage. 2026
In englischer Sprache
Format (B x L): 19,1 x 23,5 cm
Verlag: Churchill Livingstone
ISBN: 978-0-443-40923-3
Produktbeschreibung
Easy to read, concise and highly accessible, this book is perfect for readers who do not have a physics or technology background. It covers how ultrasound produces diagnostic images, why it is used in different clinical scenarios, and when its use as a diagnostic tool is appropriate.
The book has been fully updated to incorporate the latest technology and developments, and will be an invaluable guide for all sonography practitioners and students who wish to practise ultrasound safely and effectively. - Covers all the fundamental physics and technological knowledge needed to practise ultrasound effectively, including safety aspects, quality assurance, and the latest techniques and developments
- Clear and concise explanations for those new to ultrasound physics and technology - no prior knowledge or experience necessary
- Step-by-step introduction to the topics, covered in a logical order - each chapter builds on content covered in previous chapters
- Learning outcomes and chapter summaries support learning
- Easy to read and follow - written in non-technical language for readers from a variety of training backgrounds.
- Takes a non-mathematical approach to explain the principles of ultrasound physics
- Uses a variety of examples from clinical practice used to bring learning to life
- Ideal for students but also valuable as a quick reference guide for all medical practitioners of ultrasound, from sonographers to doctors and midwives
New to this edition - Covers advancements in transducer technology
- Looks at integration of ultrasound with other imaging modalities such as CT and MRI for more accurate diagnostic evaluations.
- Covers new 3D/4D ultrasound in obstetric imaging
- Explores artificial intelligence and machine learning to automate image interpretation and optimise workflow in ultrasound technology
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