Medical Image Reconstruction: From Analytical and Iterative Methods to Machine Learning - Couverture souple

Zeng, Gengsheng Lawrence

 
9783111055039: Medical Image Reconstruction: From Analytical and Iterative Methods to Machine Learning
Couverture souple
ISBN 10 : 3111055035 ISBN 13 : 9783111055039
Editeur : De Gruyter, 2023

Synopsis

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,

Les informations fournies dans la section « Synopsis » peuvent faire référence à une autre édition de ce titre.

À propos de l'auteur

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

Les informations fournies dans la section « A propos du livre » peuvent faire référence à une autre édition de ce titre.

Éditeur
De Gruyter
Date d'édition
2023
Langue
anglais
ISBN 10 
3111055035
ISBN 13 
9783111055039
Reliure
Broché
Numéro d'édition
2
Nombre de pages
287
Coordonnées du fabricant
non disponible
Personne responsable
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