UID:
almafu_9961219724702883
Umfang:
1 online resource (XIV, 273 p.)
Ausgabe:
2nd edition
ISBN:
9783111055404
Serie:
De Gruyter Textbook
Inhalt:
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.
Anmerkung:
Frontmatter --
,
Preface --
,
Contents --
,
1 Basic principles of tomography --
,
2 Parallel-beam image reconstruction --
,
3 Fan-beam image reconstruction --
,
4 Transmission and emission tomography --
,
5 Three-dimensional image reconstruction --
,
6 Iterative reconstruction --
,
7 MRI reconstruction --
,
8 Using FBP to perform iterative reconstruction --
,
9 Machine learning --
,
Index
,
Issued also in print.
,
In English.
Weitere Ausg.:
ISBN 9783111055701
Weitere Ausg.:
ISBN 9783111055039
Sprache:
Englisch
DOI:
10.1515/9783111055404
URL:
https://doi.org/10.1515/9783111055404
URL:
https://www.degruyter.com/isbn/9783111055404
URL:
https://doi.org/10.1515/9783111055404
URL:
https://www.degruyter.com/isbn/9783111055404
