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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.