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Zhi-Pei Liang - Principles of Magnetic Resonance Imaging - 9780780347236 - V9780780347236
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Principles of Magnetic Resonance Imaging

€ 203.41
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Description for Principles of Magnetic Resonance Imaging Hardcover. Series: IEEE Press Series on Biomedical Engineering. Num Pages: 416 pages, bibliography. BIC Classification: TJF; UYS; UYT. Category: (P) Professional & Vocational; (UP) Postgraduate, Research & Scholarly; (UU) Undergraduate. Dimension: 231 x 162 x 35. Weight in Grams: 804.
Principles of Magnetic Resonance Imaging

Biomedical/Electrical Engineering

Principles of Magnetic Resonance Imaging
A Signal Processing Perspective

A volume in the IEEE Press Series in Biomedical Engineering
Metin Akay. Series Editor

Since its inception in 1971. MRI has developed into a premier tool for anatomical and runaional imaging. Prin??ples ofMagne??c Resonance Imaging provides a clear and comprehensive treatment of MR image formation principles from a signal processing perspective. You will find discussion of these essential topics:

  • Mathematical fundamentals
  • Signal generation and detection principles
  • Signal characteristics
  • Signal localization principles
  • Image reconstruction techniques
  • Image contrast mechanisms
  • Image resolution. noise, and artifacts
  • Fast-scan imaging
  • Constrained reconstruction
  • Spatial information encoding
... Read more

Product Details

Publisher
I.E.E.E.Press United States
Number of pages
416
Format
Hardback
Publication date
1999
Series
IEEE Press Series on Biomedical Engineering
Condition
New
Number of Pages
432
Place of Publication
, United States
ISBN
9780780347236
SKU
V9780780347236
Shipping Time
Usually ships in 7 to 11 working days
Ref
99-50

About Zhi-Pei Liang
ABOUT THE AUTHORS Zhi-Pei Liang is a faculty member in the Department ot Electrical and Computer Engineering (ECE) and the Beckman Institute for Advanced Science and Technology at the University of Illinois at Urbana-Champaign (UIUC). Dr. Liang has contributed to the theory and applications of image reconstruction, constrained imaging, and image analysis. He received the Sylvia Sorkin Greenfield ... Read more

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