Quantitative Magnetic Resonance Imaging

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Title: Quantitative Magnetic Resonance Imaging
Description: Quantitative Magnetic Resonance Imaging is a'go-to'reference for methods and applications of quantitative magnetic resonance imaging, with specific sections on Relaxometry, Perfusion, and Diffusion.Each section will start with an explanation of the basic techniques for mapping the tissue property in question, including a description of the challenges that arise when using these basic approaches. For properties which can be measured in multiple ways, each of these basic methods will be described in separate chapters. Following the basics, a chapter in each section presents more advanced and recently proposed techniques for quantitative tissue property mapping, with a concluding chapter on clinical applications. The reader will learn: - The basic physics behind tissue property mapping - How to implement basic pulse sequences for the quantitative measurement of tissue properties - The strengths and limitations to the basic and more rapid methods for mapping the magnetic relaxation properties T1, T2, and T2• - The pros and cons for different approaches to mapping perfusion - The methods of Diffusion-weighted imaging and how this approach can be used to generate diffusion tensor - maps and more complex representations of diffusion - How flow, magneto-electric tissue property, fat fraction, exchange, elastography, and temperature mapping are performed - How fast imaging approaches including parallel imaging, compressed sensing, and Magnetic Resonance - Fingerprinting can be used to accelerate or improve tissue property mapping schemes - How tissue property mapping is used clinically in different organs - Structured to cater for MRI researchers and graduate students with a wide variety of backgrounds - Explains basic methods for quantitatively measuring tissue properties with MRI - including T1, T2, perfusion, diffusion, fat and iron fraction, elastography, flow, susceptibility - enabling the implementation of pulse sequences to perform measurements - Shows the limitations of the techniques and explains the challenges to the clinical adoption of these traditional methods, presenting the latest research in rapid quantitative imaging which has the possibility to tackle these challenges - Each section contains a chapter explaining the basics of novel ideas for quantitative mapping, such as compressed sensing and Magnetic Resonance Fingerprinting-based approaches
Authors: Nicole Seiberlich, Vikas Gulani, Adrienne Campbell-Washburn, Steven Sourbron, Mariya Ivanova Doneva, Fernando Calamante, Houchun Harry Hu
Resource Type: eBook.
Subjects: Quantitative magnetic resonance, Magnetic resonance imaging, Electronic books
Categories: COMPUTERS / Artificial Intelligence / Computer Vision & Pattern Recognition
Database: eBook Collection (EBSCOhost)
FullText Links:
  – Type: ebook-pdf
  – Type: ebook-epub
Text:
  Availability: 0
Header DbId: nlebk
DbLabel: eBook Collection (EBSCOhost)
An: 2431991
RelevancyScore: 1097
AccessLevel: 6
PubType: eBook
PubTypeId: ebook
PreciseRelevancyScore: 1096.64697265625
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  Label: Title
  Group: Ti
  Data: Quantitative Magnetic Resonance Imaging
– Name: Abstract
  Label: Description
  Group: Ab
  Data: Quantitative Magnetic Resonance Imaging is a'go-to'reference for methods and applications of quantitative magnetic resonance imaging, with specific sections on Relaxometry, Perfusion, and Diffusion.Each section will start with an explanation of the basic techniques for mapping the tissue property in question, including a description of the challenges that arise when using these basic approaches. For properties which can be measured in multiple ways, each of these basic methods will be described in separate chapters. Following the basics, a chapter in each section presents more advanced and recently proposed techniques for quantitative tissue property mapping, with a concluding chapter on clinical applications. The reader will learn: - The basic physics behind tissue property mapping - How to implement basic pulse sequences for the quantitative measurement of tissue properties - The strengths and limitations to the basic and more rapid methods for mapping the magnetic relaxation properties T1, T2, and T2• - The pros and cons for different approaches to mapping perfusion - The methods of Diffusion-weighted imaging and how this approach can be used to generate diffusion tensor - maps and more complex representations of diffusion - How flow, magneto-electric tissue property, fat fraction, exchange, elastography, and temperature mapping are performed - How fast imaging approaches including parallel imaging, compressed sensing, and Magnetic Resonance - Fingerprinting can be used to accelerate or improve tissue property mapping schemes - How tissue property mapping is used clinically in different organs - Structured to cater for MRI researchers and graduate students with a wide variety of backgrounds - Explains basic methods for quantitatively measuring tissue properties with MRI - including T1, T2, perfusion, diffusion, fat and iron fraction, elastography, flow, susceptibility - enabling the implementation of pulse sequences to perform measurements - Shows the limitations of the techniques and explains the challenges to the clinical adoption of these traditional methods, presenting the latest research in rapid quantitative imaging which has the possibility to tackle these challenges - Each section contains a chapter explaining the basics of novel ideas for quantitative mapping, such as compressed sensing and Magnetic Resonance Fingerprinting-based approaches
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  Data: <searchLink fieldCode="AR" term="%22Nicole+Seiberlich%22">Nicole Seiberlich</searchLink><br /><searchLink fieldCode="AR" term="%22Vikas+Gulani%22">Vikas Gulani</searchLink><br /><searchLink fieldCode="AR" term="%22Adrienne+Campbell-Washburn%22">Adrienne Campbell-Washburn</searchLink><br /><searchLink fieldCode="AR" term="%22Steven+Sourbron%22">Steven Sourbron</searchLink><br /><searchLink fieldCode="AR" term="%22Mariya+Ivanova+Doneva%22">Mariya Ivanova Doneva</searchLink><br /><searchLink fieldCode="AR" term="%22Fernando+Calamante%22">Fernando Calamante</searchLink><br /><searchLink fieldCode="AR" term="%22Houchun+Harry+Hu%22">Houchun Harry Hu</searchLink>
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  Data: eBook.
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  Data: <searchLink fieldCode="DE" term="%22Quantitative+magnetic+resonance%22">Quantitative magnetic resonance</searchLink><br /><searchLink fieldCode="DE" term="%22Magnetic+resonance+imaging%22">Magnetic resonance imaging</searchLink><br /><searchLink fieldCode="DE" term="%22Electronic+books%22">Electronic books</searchLink>
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RecordInfo BibRecord:
  BibEntity:
    Classifications:
      – Code: 616.07548
        Scheme: ddc
        Type: prePub
    Languages:
      – Code: eng
        Text: English
    Subjects:
      – SubjectFull: Quantitative magnetic resonance
        Type: general
      – SubjectFull: Magnetic resonance imaging
        Type: general
      – SubjectFull: Electronic books
        Type: general
    Titles:
      – TitleFull: Quantitative Magnetic Resonance Imaging
        Type: main
  BibRelationships:
    HasContributorRelationships:
      – PersonEntity:
          Name:
            NameFull: Nicole Seiberlich
      – PersonEntity:
          Name:
            NameFull: Vikas Gulani
      – PersonEntity:
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            NameFull: Adrienne Campbell-Washburn
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            NameFull: Steven Sourbron
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            NameFull: Mariya Ivanova Doneva
      – PersonEntity:
          Name:
            NameFull: Fernando Calamante
      – PersonEntity:
          Name:
            NameFull: Houchun Harry Hu
      – PersonEntity:
          Name:
            NameFull: Nicole Seiberlich
      – PersonEntity:
          Name:
            NameFull: Vikas Gulani
      – PersonEntity:
          Name:
            NameFull: Adrienne Campbell-Washburn
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            NameFull: Steven Sourbron
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          Name:
            NameFull: Mariya Ivanova Doneva
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          Name:
            NameFull: Fernando Calamante
      – PersonEntity:
          Name:
            NameFull: Houchun Harry Hu
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      – BibEntity:
          Dates:
            – D: 01
              M: 01
              Type: published
              Y: 2020
            – D: 11
              M: 12
              Type: profile
              Y: 2020
          Identifiers:
            – Type: isbn-print
              Value: 9780128170571
            – Type: isbn-electronic
              Value: 9780128170588
          Numbering:
            – Type: volume
              Value: 00001
          Titles:
            – TitleFull: Quantitative Magnetic Resonance Imaging
              Type: main
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