Editors:
- First book to focus on this topic
- State of the art in developing subject
- With implications and information of immediate use for practitioners
- Includes supplementary material: sn.pub/extras
Part of the book series: Lecture Notes in Computational Vision and Biomechanics (LNCVB, volume 22)
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Table of contents (17 chapters)
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Front Matter
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Computational Methods
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Front Matter
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Clinical Applications
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Front Matter
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About this book
This volume contains original submissions on the development and application of molecular imaging computing. The editors invited authors to submit high-quality contributions on a wide range of topics including, but not limited to:
• Image Synthesis & Reconstruction of Emission Tomography (PET, SPECT) and other Molecular Imaging Modalities
• Molecular Imaging Enhancement
• Data Analysis of Clinical & Pre-clinical Molecular Imaging
• Multi-Modal Image Processing (PET/CT, PET/MR, SPECT/CT, etc.)
• Machine Learning and Data Mining in Molecular Imaging.
Molecular imaging is an evolving clinical and research discipline enabling the visualization, characterization and quantification of biological processes taking place at the cellular and subcellular levels within intact living subjects. Computational methods play an important role in the development of molecular imaging, from image synthesis to data analysis and from clinical diagnosis to therapy individualization.
This work will bring readers from academia and industry up to date on the most recent developments in this field.
Editors and Affiliations
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Siemens Medical Solutions, Knoxville, USA
Fei Gao
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Department of Radiotherapy and Radiooncology, Technical University of Munich, München, Germany
Kuangyu Shi
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GE Healthcare and University of Western Ontario, London, Canada
Shuo Li
Bibliographic Information
Book Title: Computational Methods for Molecular Imaging
Editors: Fei Gao, Kuangyu Shi, Shuo Li
Series Title: Lecture Notes in Computational Vision and Biomechanics
DOI: https://doi.org/10.1007/978-3-319-18431-9
Publisher: Springer Cham
eBook Packages: Engineering, Engineering (R0)
Copyright Information: Springer International Publishing Switzerland 2015
Hardcover ISBN: 978-3-319-18430-2Published: 25 June 2015
Softcover ISBN: 978-3-319-38662-1Published: 17 October 2016
eBook ISBN: 978-3-319-18431-9Published: 11 June 2015
Series ISSN: 2212-9391
Series E-ISSN: 2212-9413
Edition Number: 1
Number of Pages: VII, 205
Number of Illustrations: 18 b/w illustrations, 54 illustrations in colour
Topics: Signal, Image and Speech Processing, Human Physiology, Computer Imaging, Vision, Pattern Recognition and Graphics, Biological and Medical Physics, Biophysics