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Medical Image Reconstruction: From Analytical and Iterative Methods to Machine Learning by Gengsheng Lawrence Zeng is a nonfiction available to read on EtoBox.

What is Medical Image Reconstruction: From Analytical and Iterative Methods to Machine Learning about?

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 ima

Who reads Medical Image Reconstruction: From Analytical and Iterative Methods to Machine Learning?

Author

Gengsheng Lawrence Zeng

Publisher

de Gruyter GmbH, Walter

Published

2023

Language

EN

ISBN

9783111055404

Category

nonfiction

Subjects

Engineering, Medical, Radiology