Medical Imaging: Mathematical and Physical Principles
Autor Adam W. Anderson, Charles F. Caskey, John C. Gore, Todd E. Petersonen Limba Engleză Paperback – 28 feb 2025
- Written by a top team of highly respected researchers who between them have taught medical imaging for over a hundred years!
- Focuses on the physical and mathematical principles to provide everlasting foundational knowledge
- Balanced coverage between the modalities reflecting the authors’ areas of expertise
- Provides a motivational historical overview of the field
- Closely ties the physical principles to biology
- Includes instructors support such as solutions and slides of the figures
- Provides computational exercises
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Specificații
ISBN-13: 9780323916233
ISBN-10: 0323916236
Pagini: 576
Ilustrații: 95 illustrations (15 in full color)
Dimensiuni: 191 x 234 mm
Editura: ELSEVIER SCIENCE
ISBN-10: 0323916236
Pagini: 576
Ilustrații: 95 illustrations (15 in full color)
Dimensiuni: 191 x 234 mm
Editura: ELSEVIER SCIENCE
Cuprins
1. Introduction to medical imaging2. Mathematics for imaging3. Image quality4. Reconstruction of objects from projections5. X-radiographic imaging: Image formation6. Nuclear imaging: Image formation7. Nuclear magnetic resonance imaging: Image formation8. Nuclear magnetic resonance imaging: Design of systems9. Nuclear magnetic resonance imaging: Physical properties relevant for imaging10. Nuclear magnetic resonance imaging: Physical properties relevant for imaging [2] motion11. Ultrasound imaging: Image formation12. Ultrasound imaging: Physical properties relevant for imaging13. Physiological function from imaging
Notă biografică
Adam W. Anderson, Ph.D. is Professor of Biomedical Engineering and Radiology and Radiological Sciences at Vanderbilt University and a member of the Vanderbilt University Institute of Imaging Science. Dr. Anderson received his doctorate in Physics from Yale University in 1990 and has been engaged on research in MRI for the past 30 years. He is a Fellow of the American Institute of Medical and Biological Engineering and the International Society of Magnetic Resonance in Medicine. His current research focuses on improving methods of diffusion and high field MRI for characterizing brain structure and function.