
Quantification of Biophysical Parameters in Medical Imaging
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A termék adatai:
- Kiadás sorszáma 1st ed. 2018
- Kiadó Springer
- Megjelenés dátuma 2018. március 12.
- Kötetek száma 1 pieces, Book
- ISBN 9783319659237
- Kötéstípus Keménykötés
- Terjedelem497 oldal
- Méret 235x155 mm
- Súly 8787 g
- Nyelv angol
- Illusztrációk 48 Illustrations, black & white; 130 Illustrations, color 0
Kategóriák
Rövid leírás:
This book provides a selection of essential knowledge on the image-based quantification of biophysical parameters for the purpose of clinical diagnosis. The authors regard clinical imaging scanners as physical measurement systems capable of quantifying intrinsic parameters for depiction of the constitution and biophysical properties of in vivo tissue. On the one hand, this approach supports the development of new methods of imaging highly reproducible, system-independent, and quantitative biomarkers, and these methods receive detailed attention in the book. On the other hand, the reader will also gain a deeper understanding of how physical tissue properties interact with the generation of signals in medical imaging, opening new windows on the intricate and fascinating relationship between the structure and function of living tissues. The book will be of interest to all who recognize the limitations of basing clinical diagnosis primarily on visual inspection of images and who wish to learn more about the diagnostic potential of quantitative and biophysics-based medical imaging markers and the challenges that the paucity of such markers poses for next-generation imaging technologies.
TöbbHosszú leírás:
This book provides a selection of essential knowledge on the image-based quantification of biophysical parameters for the purpose of clinical diagnosis. The authors regard clinical imaging scanners as physical measurement systems capable of quantifying intrinsic parameters for depiction of the constitution and biophysical properties of in vivo tissue. On the one hand, this approach supports the development of new methods of imaging highly reproducible, system-independent, and quantitative biomarkers, and these methods receive detailed attention in the book. On the other hand, the reader will also gain a deeper understanding of how physical tissue properties interact with the generation of signals in medical imaging, opening new windows on the intricate and fascinating relationship between the structure and function of living tissues. The book will be of interest to all who recognize the limitations of basing clinical diagnosis primarily on visual inspection of images and who wish tolearn more about the diagnostic potential of quantitative and biophysics-based medical imaging markers and the challenges that the paucity of such markers poses for next-generation imaging technologies.
TöbbTartalomjegyzék:
PART I: Tissue properties: Multiscale biophysical interactions and parameters in medical imaging.- The Extracellular matrix as target for medical imaging.- Single cell physical properties and collective behavior in tumors.- Biot's theory of biphasic poroelastic media and its application to incompressible tissue.- Fluid dynamics in living systems.- PART II: Imaging technology & data analysis: Mathematical Methods in Medical Image Processing.- Computed Tomography: Acquisition and Reconstruction.- Ultrasound elastography methods.- PET measured water perfusion.- Innovative radiotracers for PET.- CEST-MRI.-Acceleration strategies for data sampling in MRI.- Photoacoustic tomography.- PART III: Medical applications: Tumor characterization by ultrasound perfusion measurements and elastography.- 4D flow quantification in cardiovascular MRI.- Cardiac perfusion MRI.- Noninvasive assessment of pressure-related imaging parameters in portal hypertension.-Biophysical Parameters measured by dyn
amic computed tomography in the clinic.- Quantification of functional heterogeneities in tumors by PET imaging.- Magnetic Resonance Myocardial Effective Transverse Relaxation Time at 7.0 Tesla for a Better Understanding of Myocardial (Patho)physiology. Több