Medical Image Reconstruction [recurso electrónico] : A Conceptual Tutorial / by Gengsheng Lawrence Zeng.
Tipo de material: TextoEditor: Berlin, Heidelberg : Springer Berlin Heidelberg, 2010Descripción: XIII, 198 p. online resourceTipo de contenido: text Tipo de medio: computer Tipo de portador: online resourceISBN: 9783642053689Tema(s): Engineering | Radiology, Medical | Engineering mathematics | Biomedical engineering | Engineering | Biomedical Engineering | Imaging / Radiology | Appl.Mathematics/Computational Methods of Engineering | Signal, Image and Speech ProcessingFormatos físicos adicionales: Printed edition:: Sin títuloClasificación CDD: 610.28 Clasificación LoC:R856-857Recursos en línea: Libro electrónicoTipo de ítem | Biblioteca actual | Colección | Signatura | Copia número | Estado | Fecha de vencimiento | Código de barras |
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Libro Electrónico | Biblioteca Electrónica | Colección de Libros Electrónicos | R856 -857 (Browse shelf(Abre debajo)) | 1 | No para préstamo | 373769-2001 |
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Basic Principles of Tomography -- Parallel-Beam Image Reconstruction -- Fan-Beam Image Reconstruction -- Transmission and Emission Tomography -- 3D Image Reconstruction -- Iterative Reconstruction -- MRI Reconstruction.
"Medical Image Reconstruction: A Conceptual Tutorial" introduces the classical and modern image reconstruction technologies, such as two-dimensional (2D) parallel-beam and fan-beam imaging, three-dimensional (3D) parallel ray, parallel plane, and cone-beam imaging. This book presents both analytical and iterative methods of these technologies and their applications in X-ray CT (computed tomography), SPECT (single photon emission computed tomography), PET (positron emission tomography), and MRI (magnetic resonance imaging). Contemporary research results in exact region-of-interest (ROI) reconstruction with truncated projections, Katsevich's cone-beam filtered backprojection algorithm, and reconstruction with highly undersampled data with l0-minimization are also included. This book is written for engineers and researchers in the field of biomedical engineering specializing in medical imaging and image processing with image reconstruction. Gengsheng Lawrence Zeng is an expert in the development of medical image reconstruction algorithms and is a professor at the Department of Radiology, University of Utah, Salt Lake City, Utah, USA.
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