Medical Image Reconstruction
eBook - PDF

Medical Image Reconstruction

From Analytical and Iterative Methods to Machine Learning

  1. 287 pages
  2. English
  3. PDF
  4. Available on iOS & Android
eBook - PDF

Medical Image Reconstruction

From Analytical and Iterative Methods to Machine Learning

About this book

This textbook introduces the essential concepts of tomography in the field of medical imaging. The medical imaging modalities include x-ray CT (computed tomography), PET (positron emission tomography), SPECT (single photon emission tomography) and MRI. In these modalities, the measurements are not in the image domain and the conversion from the measurements to the images is referred to as the image reconstruction.

The work covers various image reconstruction methods, ranging from the classic analytical inversion methods to the optimization-based iterative image reconstruction methods. As machine learning methods have lately exhibited astonishing potentials in various areas including medical imaging the author devotes one chapter to applications of machine learning in image reconstruction.

Based on college level in mathematics, physics, and engineering the textbook supports students in understanding the concepts. It is an essential reference for graduate students and engineers with electrical engineering and biomedical background due to its didactical structure and the balanced combination of methodologies and applications,

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Yes, you can access Medical Image Reconstruction by Gengsheng Lawrence Zeng in PDF and/or ePUB format, as well as other popular books in Physical Sciences & Data Processing. We have over one million books available in our catalogue for you to explore.

Information

Publisher
De Gruyter
Year
2023
eBook ISBN
9783111055404

Table of contents

  1. Preface
  2. Contents
  3. 1 Basic principles of tomography
  4. 2 Parallel-beam image reconstruction
  5. 3 Fan-beam image reconstruction
  6. 4 Transmission and emission tomography
  7. 5 Three-dimensional image reconstruction
  8. 6 Iterative reconstruction
  9. 7 MRI reconstruction
  10. 8 Using FBP to perform iterative reconstruction
  11. 9 Machine learning
  12. Index