rdf-syntax-grammar
mods:
  schema location: http://www.loc.gov/mods/v3 http://www.loc.gov/standards/mods/v3/mods-3-2.xsd
  title info:
    title: Quantification of Biophysical Parameters in Medical Imaging
  name:
    name part: Sack, Ingolf.
    role:
      role term: editor.
    role:
      role term: edt
    role:
      role term: http://id.loc.gov/vocabulary/relators/edt
  name:
    name part: Schaeffter, Tobias.
    role:
      role term: editor.
    role:
      role term: edt
    role:
      role term: http://id.loc.gov/vocabulary/relators/edt
  name:
    name part: SpringerLink (Online service)
  type of resource: text
  origin info:
    place:
      place term: gw
    date issued: 2018
    edition: 1st ed. 2018.
    issuance: monographic
  language:
    language term: eng
  physical description:
    form: electronic
    form: electronic resource
    reformatting quality: access
    form: remote
    extent: VIII, 497 p. 178 illus., 130 illus. in color. online resource.
  abstract: 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.
  table of contents: 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.
  note: edited by Ingolf Sack, Tobias Schaeffter.
  subject:
    topic: Radiology
  subject:
    topic: Biomedical engineering
  subject:
    topic: Biophysics
  subject:
    topic: Biological physics
  subject:
    topic: Imaging / Radiology
  subject:
    topic: Biomedical Engineering/Biotechnology
  subject:
    topic: Biological and Medical Physics, Biophysics
  classification: R895-920
  classification: 616.0757
  related item:
    title info:
      title: Springer eBooks
  identifier: 9783319659244
  identifier: https://doi.org/10.1007/978-3-319-65924-4
  record info:
    record creation date: 180221
    record change date: 20191029021505.0
    record identifier: 978-3-319-65924-4