Medical Image Reconstruction: From Analytical and Iterative Methods to Machine Learning (De Gruyter Textbook) - Tapa blanda

Zeng, Gengsheng Lawrence

 
9783111055039: Medical Image Reconstruction: From Analytical and Iterative Methods to Machine Learning (De Gruyter Textbook)
Tapa blanda
ISBN 10: 3111055035 ISBN 13: 9783111055039
Editorial: De Gruyter, 2023

Sinopsis

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,

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Acerca del autor

Gengsheng Lawrence Zeng, Weber State University, Odgen, USA.

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Editorial
De Gruyter
Año de publicación
2023
Idioma
Inglés
ISBN 10 
3111055035
ISBN 13 
9783111055039
Encuadernación
Tapa blanda
Número de edición
2
Número de páginas
288
Contacto del fabricante
Walter de Gruyter GmbH
info@degruyter.com

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