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Statistics of Medical Imaging (Chapman & Hall/CRC Interdisciplinary Statistics)

By: Tianhu Lei (Author)

Out of stock

Ksh 51,950.00

Format: Hardback or Cased Book

ISBN-10: 1420088424

ISBN-13: 9781420088427

Collection / Series: Chapman & Hall/CRC Interdisciplinary Statistics

Collection Type: Publisher collection

Publisher: Taylor & Francis Ltd

Imprint: Chapman & Hall/CRC

Country of Manufacture: US

Country of Publication: GB

Publication Date: Dec 19th, 2011

Publication Status: Active

Product extent: 438 Pages

Weight: 742.00 grams

Dimensions (height x width x thickness): 23.80 x 16.30 x 2.50 cms

Product Classification / Subject(s): Biomedical engineering
Probability & statistics
Electrical engineering
Image processing

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  • Description

  • Reviews

Presents a look at medical imaging and statistics, ranging from the statistical aspects of imaging technology to the statistical analysis of images. This book provides technicians and students with the statistical principles that underlay medical imaging and offers reference material for researchers involved in the design of technology.

Statistical investigation into technology not only provides a better understanding of the intrinsic features of the technology (analysis), but also leads to an improved design of the technology (synthesis). Physical principles and mathematical procedures of medical imaging technologies have been extensively studied during past decades. However, less work has been done on the statistical aspects of these techniques. Statistics of Medical Imaging fills this gap and provides a theoretical framework for statistical investigation into medical imaging technologies.

Features

  • Describes physical principles and mathematical procedures of two medical imaging techniques: X-ray CT and MRI
  • Presents statistical properties of imaging data (measurements) at each stage in the imaging processes of X-ray CT and MRI
  • Demonstrates image reconstruction as a transform from a set of random variables (imaging data) to another set of random variables (image data)
  • Presents statistical properties of image data (pixel intensities) at three levels: a single pixel, any two pixels, and a group of pixels (a region)
  • Provides two stochastic models for X-ray CT and MR image in terms of their statistics and two model-based statistical image analysis methods
  • Evaluates statistical image analysis methods in terms of their detection, estimation, and classification performances
  • Indicates that X-ray CT, MRI, PET and SPECT belong to a category of imaging: the non-diffraction computed tomography

Rather than offering detailed descriptions of statistics of basic imaging protocols of X-ray CT and MRI, this book provides a method to conduct similar statistical investigations into more complicated imaging protocols.

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