Medical Image Reconstruction: from analytical and iterative methods to machine learning
Gespeichert in:
| 1. Verfasser: | |
|---|---|
| Format: | Elektronisch E-Book |
| Sprache: | English |
| Veröffentlicht: |
Berlin, Heidelberg
Springer Berlin Heidelberg
2023
|
| Ausgabe: | 2nd edition |
| Schlagworte: | |
| Online-Zugang: | FAB01 FAW01 FCO01 FHA01 FHI01 FKE01 FLA01 UPA01 Volltext |
| Beschreibung: | "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. |
| Beschreibung: | 1 Online-Ressource (XIV, 273 Seiten) |
| ISBN: | 9783111055404 |
| DOI: | 10.1515/9783111055404 |
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Datensatz im Suchindex
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| author | Zeng, Gengsheng Lawrence |
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| contents | Basic Principles of Tomography -- Parallel-Beam Image Reconstruction -- Fan-Beam Image Reconstruction -- Transmission and Emission Tomography -- 3D Image Reconstruction -- Iterative Reconstruction -- MRI Reconstruction |
| ctrlnum | (OCoLC)1389185177 (DE-599)BVBBV049032284 |
| dewey-full | 610.28 |
| dewey-hundreds | 600 - Technology (Applied sciences) |
| dewey-ones | 610 - Medicine and health |
| dewey-raw | 610.28 |
| dewey-search | 610.28 |
| dewey-sort | 3610.28 |
| dewey-tens | 610 - Medicine and health |
| discipline | Informatik Medizin |
| discipline_str_mv | Informatik Medizin |
| doi_str_mv | 10.1515/9783111055404 |
| edition | 2nd edition |
| format | Electronic eBook |
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| illustrated | Not Illustrated |
| index_date | 2024-07-03T22:16:59Z |
| indexdate | 2024-07-10T09:53:19Z |
| institution | BVB |
| isbn | 9783111055404 |
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| spelling | Zeng, Gengsheng Lawrence Verfasser (DE-588)140930612 aut Medical Image Reconstruction from analytical and iterative methods to machine learning by Gengsheng Lawrence Zeng 2nd edition Berlin, Heidelberg Springer Berlin Heidelberg 2023 1 Online-Ressource (XIV, 273 Seiten) txt rdacontent c rdamedia cr rdacarrier "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. Basic Principles of Tomography -- Parallel-Beam Image Reconstruction -- Fan-Beam Image Reconstruction -- Transmission and Emission Tomography -- 3D Image Reconstruction -- Iterative Reconstruction -- MRI Reconstruction Engineering Radiology, Medical Engineering mathematics Biomedical engineering Biomedical Engineering Imaging / Radiology Appl.Mathematics/Computational Methods of Engineering Signal, Image and Speech Processing Ingenieurwissenschaften Bildrekonstruktion (DE-588)4145435-2 gnd rswk-swf Tomografie (DE-588)4078351-0 gnd rswk-swf Tomografie (DE-588)4078351-0 s Bildrekonstruktion (DE-588)4145435-2 s 1\p DE-604 Erscheint auch als Druck-Ausgabe 978-3-642-05367-2 https://doi.org/10.1515/9783111055404 Verlag URL des Erstveröffentlichers Volltext 1\p cgwrk 20201028 DE-101 https://d-nb.info/provenance/plan#cgwrk |
| spellingShingle | Zeng, Gengsheng Lawrence Medical Image Reconstruction from analytical and iterative methods to machine learning Basic Principles of Tomography -- Parallel-Beam Image Reconstruction -- Fan-Beam Image Reconstruction -- Transmission and Emission Tomography -- 3D Image Reconstruction -- Iterative Reconstruction -- MRI Reconstruction Engineering Radiology, Medical Engineering mathematics Biomedical engineering Biomedical Engineering Imaging / Radiology Appl.Mathematics/Computational Methods of Engineering Signal, Image and Speech Processing Ingenieurwissenschaften Bildrekonstruktion (DE-588)4145435-2 gnd Tomografie (DE-588)4078351-0 gnd |
| subject_GND | (DE-588)4145435-2 (DE-588)4078351-0 |
| title | Medical Image Reconstruction from analytical and iterative methods to machine learning |
| title_auth | Medical Image Reconstruction from analytical and iterative methods to machine learning |
| title_exact_search | Medical Image Reconstruction from analytical and iterative methods to machine learning |
| title_exact_search_txtP | Medical Image Reconstruction from analytical and iterative methods to machine learning |
| title_full | Medical Image Reconstruction from analytical and iterative methods to machine learning by Gengsheng Lawrence Zeng |
| title_fullStr | Medical Image Reconstruction from analytical and iterative methods to machine learning by Gengsheng Lawrence Zeng |
| title_full_unstemmed | Medical Image Reconstruction from analytical and iterative methods to machine learning by Gengsheng Lawrence Zeng |
| title_short | Medical Image Reconstruction |
| title_sort | medical image reconstruction from analytical and iterative methods to machine learning |
| title_sub | from analytical and iterative methods to machine learning |
| topic | Engineering Radiology, Medical Engineering mathematics Biomedical engineering Biomedical Engineering Imaging / Radiology Appl.Mathematics/Computational Methods of Engineering Signal, Image and Speech Processing Ingenieurwissenschaften Bildrekonstruktion (DE-588)4145435-2 gnd Tomografie (DE-588)4078351-0 gnd |
| topic_facet | Engineering Radiology, Medical Engineering mathematics Biomedical engineering Biomedical Engineering Imaging / Radiology Appl.Mathematics/Computational Methods of Engineering Signal, Image and Speech Processing Ingenieurwissenschaften Bildrekonstruktion Tomografie |
| url | https://doi.org/10.1515/9783111055404 |
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