Computational Methods for Molecular Imaging

Nonfiction, Health & Well Being, Medical, Medical Science, Physiology, Science & Nature, Technology, Electronics
Cover of the book Computational Methods for Molecular Imaging by , Springer International Publishing
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Author: ISBN: 9783319184319
Publisher: Springer International Publishing Publication: June 11, 2015
Imprint: Springer Language: English
Author:
ISBN: 9783319184319
Publisher: Springer International Publishing
Publication: June 11, 2015
Imprint: Springer
Language: English

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.

View on Amazon View on AbeBooks View on Kobo View on B.Depository View on eBay View on Walmart

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.

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