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Medical Image Reconstruction From Analytical And Iterative Methods To Machine Learning 2nd Edition Gengsheng Lawrence Zeng

  • SKU: BELL-50785554
Medical Image Reconstruction From Analytical And Iterative Methods To Machine Learning 2nd Edition Gengsheng Lawrence Zeng
$ 31.00 $ 45.00 (-31%)

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Medical Image Reconstruction From Analytical And Iterative Methods To Machine Learning 2nd Edition Gengsheng Lawrence Zeng instant download after payment.

Publisher: De Gruyter
File Extension: PDF
File size: 29.56 MB
Pages: 287
Author: Gengsheng Lawrence Zeng
ISBN: 9783111055039, 9783111055404, 3111055035, 311105540X
Language: English
Year: 2023
Edition: 2

Product desciption

Medical Image Reconstruction From Analytical And Iterative Methods To Machine Learning 2nd Edition Gengsheng Lawrence Zeng by Gengsheng Lawrence Zeng 9783111055039, 9783111055404, 3111055035, 311105540X instant download after payment.

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,


  • Presents analytical and iterative methods for medical images reconstruction.

  • Discusses algorithms and applications in X-ray CT, SPECT, PET and MRI.

  • New chapter on Machine Learning.
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