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: Multi-Modality Imaging
    sub title: Applications and Computational Techniques
  name:
    name part: Abreu de Souza, Mauren.
    role:
      role term: editor.
    role:
      role term: edt
    role:
      role term: http://id.loc.gov/vocabulary/relators/edt
  name:
    name part: Remigio Gamba, Humberto.
    role:
      role term: editor.
    role:
      role term: edt
    role:
      role term: http://id.loc.gov/vocabulary/relators/edt
  name:
    name part: Pedrini, Helio.
    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: XIV, 256 p. 110 illus., 93 illus. in color. online resource.
  abstract: This book presents different approaches on multi-modality imaging with a focus on biomedical applications. Medical imaging can be divided into two categories: functional (related to physiological body measurements) and anatomical (structural) imaging modalities. In particular, this book covers imaging combinations coming from the usual popular modalities (such as the anatomical modalities, e.g. X-ray, CT and MRI), and it also includes some promising and new imaging modalities that are still being developed and improved (such as infrared thermography (IRT) and photoplethysmography imaging (PPGI)), implying potential approaches for innovative biomedical applications. Moreover, this book includes a variety of tools on computer vision, imaging processing, and computer graphics, which led to the generation and visualization of 3D models, making the most recent advances in this area possible. This is an ideal book for students and biomedical engineering researchers covering the biomedical imaging field.
  table of contents: Infrared Thermography -- Photoplethysmography Imaging and Common Optical Hybrid Imaging Modalities -- Multimodal Image Fusion for Cardiac Resynchronization Therapy Planning -- CFD based post-processing of CT-MRI data to determine the Mechanics of Rupture in Abdominal Aortic Aneurysms -- Human Head Modelling Simulation Applied to Electroconvulsive Therapy -- Magnetic Resonance Imaging for Brain Mapping -- The use of photon scattering interactions in the diagnosis and treatment of disease -- Digital Breast Tomosynthesis: systems, characterization and simulation -- Out-of-Core Rendering of Large Volumetric Data Sets at Multiple Levels of Detail -- Geometric and Topological Modelling of Organs and Vascular Structures from CT Data -- Index.
  note: edited by Mauren Abreu de Souza, Humberto Remigio Gamba, Helio Pedrini.
  subject:
    topic: Biomedical engineering
  subject:
    topic: Computer graphics
  subject:
    topic: Radiology
  subject:
    topic: Biomedical Engineering/Biotechnology
  subject:
    topic: Computer Graphics
  subject:
    topic: Biomedical Engineering and Bioengineering
  subject:
    topic: Imaging / Radiology
  classification: R856-R857
  classification: 610.28
  related item:
    title info:
      title: Springer eBooks
  identifier: 9783319989747
  identifier: https://doi.org/10.1007/978-3-319-98974-7
  record info:
    record creation date: 181129
    record change date: 20191021213351.0
    record identifier: 978-3-319-98974-7