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,
| ISBN: | 9783111055039 |
| Publication date: | 4th July 2023 |
| Author: | Gengsheng Lawrence Zeng |
| Publisher: | De Gruyter |
| Format: | Paperback |
| Pagination: | 273 pages |
| Series: | De Gruyter Textbook |
| Genres: |
Optical physics Signal processing Applied mathematics |
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,
Medical Image Reconstruction features in the following genres: Signal processing, Applied mathematics, Optical physics
Medical Image Reconstruction is available in Paperback
Medical Image Reconstruction was written by Gengsheng Lawrence Zeng and published by De Gruyter
Medical Image Reconstruction has 273 pages
Yes it is part of De Gruyter Textbook series
£67.95