Medical Image Reconstruction: From Analytical and Iterative Methods to Machine Learning - De Gruyter Textbook - Gengsheng Lawrence Zeng - 書籍 - De Gruyter - 9783111055039 - 2023年7月4日
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Gengsheng Lawrence Zeng
Medical Image Reconstruction: From Analytical and Iterative Methods to Machine Learning - De Gruyter Textbook 2nd edition

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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,

メディア 書籍     Paperback Book   (ソフトカバーで背表紙を接着した本)
リリース済み 2023年7月4日
ISBN13 9783111055039
出版社 De Gruyter
ページ数 273
寸法 150 × 220 × 10 mm   ·   475 g

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