Quantification of Biophysical Parameters in Medical Imaging / edited by Ingolf Sack, Tobias Schaeffter.

Format:

Book

Author/Creator:

Sack, Ingolf.

Contributor:

Schaeffter, Tobias.

Language:

English

Subjects (All):

Radiology.

Oncology.

Biotechnology.

Biophysics.

Local Subjects:

Radiology.

Oncology.

Biotechnology.

Biophysics.

Physical Description:

1 online resource (594 pages)

Edition:

2nd ed. 2024.

Place of Publication:

Cham : Springer Nature Switzerland : Imprint: Springer, 2024.

Summary:

The second edition of this book offers six new chapters covering the latest developments in quantitative medical imaging, including artificial intelligence, MRI mapping, sonography, elastography and cardiac CT. All the other existing chapters have been updated and expanded, many with new text and figures, to reflect the rapid translation and advancement of technology in this exciting area of biomedical research. This updated edition presents fundamental knowledge on the imaging quantification of biophysical parameters for clinical diagnostic purposes. Clinical imaging scanners are considered by the authors as physical measurement systems capable of quantifying intrinsic parameters for the representation of the constitution and biophysical properties of tissues in vivo. In one respect, this approach fosters the development of new imaging methods for highly reproducible, system-independent, and quantitative biomarkers. These methods are greatly detailed in the book. Alternatively, this new edition equips the reader with a better understanding of how the physical properties of tissues interact with signal generation in medical imaging, opening up new insights into the complex and fascinating relationship between structure and function in living tissues. This updated edition is of interest to all those who recognize the limitations of clinical diagnosis based primarily on visual inspection of images, and who wish to learn more about the diagnostic potential of quantitative, biophysically-based medical imaging markers, as well as the challenges posed by the scarcity of such markers for next-generation imaging technologies. .

Contents:

1. Introduction

Part 1. Biological and Physical Fundamentals

2. The fundamentals of transport in living tissues quantified by medical imaging technologies

3. Mathematical modeling of blood flow in the cardiovascular system

4. Equations of motion for biphasic tissue

5. Physical Properties of Single Cells and Collective Behavior

6. The extracellular matrix as a target for molecular and biophysical magnetic resonance imaging

Part 2. Medical Imaging Technologies

7. Mathematical Methods in Medical Image Processing

8. Acceleration strategies for data sampling in MRI

9. Machine Learning for Quantitative MR Image Reconstruction

10. 4D flow MRI

11. New chapter with the tentative title: Quantitative multiparametric mapping MRI

12. CEST MRI

13. Innovative PET and SPECT Tracers

14. Methods and approaches in ultrasound elastography

15. Photoacoustic imaging: Principles and Applications

16. Fundamentals of X-Ray Computed Tomography: Acquisition and Reconstruction

Part 3. Applications

17. Quantification of Myocardial Effective Transverse Relaxation Time with Magnetic Resonance at 7.0 Tesla for a Better Understanding of Myocardial (Patho)physiology

18. Extracellular-matrix-specific molecular MR imaging probes for the assessment of aortic aneurysms

19. Diffusion based MRI - imaging basics and clinical applications

20. Tumor characterization by ultrasound elastography and contrast-enhanced ultrasound

21. Quantitative Bone Ultrasound

22. New chapter with the tentative title: Mechanical imaging of the abdonimal aorta

23. Sensitivity of tissue shear stiffness to pressure and perfusion in health and disease

24. Radionuclide imaging of cerebral blood flow

25. Cardiac perfusion MRI

26. Myocardial Perfusion Assessment by 3D and 4D Computed Tomography

27. Roadmap on the use of artificial intelligence for imaging of vulnerable atherosclerotic plaque in coronary arteries

28. Clinical quantitative coronary artery stenosis and coronary atherosclerosis imaging: a Consensus Statement from the Quantitative Cardiovascular Imaging Study Group.

ISBN:

3-031-61846-7