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: Magnetic resonance imaging
    sub title: recording, reconstruction and assessment
  name:
    name part: Dey, Nilanjan
    name part: 1984-
    role:
      role term: creator
  name:
    name part: Rajinikanth, Venkatesan.
  name:
    name part: ScienceDirect (Online service)
  type of resource: text
  genre: Electronic books.
  origin info:
    place:
      place term: enk
    date issued: 2022
    issuance: monographic
  language:
    language term: eng
  physical description:
    form: remote
    extent: 1 online resource.
  abstract: Magnetic Resonance Imaging: Recording, Reconstruction and Assessment gives a detailed overview of magnetic resonance imaging (MRI), along with its applications and challenges. The book explores the abnormalities in internal human organs using MRI techniques while also featuring case studies that illustrate measures used. In addition, it explores precautionary measures used during MRI based imaging, the selection of appropriate contrast agents, and the selection of the appropriate modality during the image registration. Sections introduce medical imaging, the use of MRI in brain, cardiac, lung and kidney detection, and also discuss both 2D and 3D imaging techniques and various MRI modalities. This volume will be of interest to researchers, engineers and medical professionals involved in the development and use of MRI systems. Discusses challenges and issues faced, as well as safety precautions to be followed Features case studies with benchmark MRIs existing in the literature Introduces computer-based assessment (Machine Learning and Deep Learning) of the MRI based on its 2D slices.
  table of contents: 1. Introduction to Image Assisted Disease Screening 2. Magnetic Resonance Imaging -- Recording and Reconstruction 3. Image Processing Schemes to Enhance Disease Information in MRI Slices 4. Segmentation of Tumor in Breast MRI Using Entropy Thresholding and Mayfly-Algorithm: A Study 5. Abnormality Detection in Heart MRI with Spotted-Hyena-Algorithm Supported Kapur/Otsu Thresholding and Level-Set Segmentation 6. CNN based Segmentation of Brain Tumor from T2-Weighted MRI Slices 7. Automated Detection of Ischemic-Stroke with Brain MRI using Machine-Learning and Deep-Learning Features
  note: Nilanjan Dey, Rajinikanth V.
  subject:
    topic: Magnetic resonance imaging
  subject:
    topic: Magnetic Resonance Imaging
  subject:
    topic: Imagerie par résonance magnétique
  subject:
    topic: Magnetic resonance imaging
  classification: RC78.7.N83
  classification: 616.07548
  related item:
    identifier: (OCoLC)1265457771
  related item:
    title info:
      title: Primers in biomedical imaging devices and systems
  identifier: 9780128234020
  identifier: 0128234024
  identifier: 9780128234013
  identifier: 9780128234020 Ingram Content Group
  identifier: 9780128234020 O'Reilly Media
  identifier: http://proxy.library.tamu.edu/login
  record info:
    record content source: YDX
    record creation date: 220217
    record change date: 20260327171626.0
    record identifier: in00005769376
    language of cataloging:
      language term: eng