Computational Methods for Molecular Imaging (Paperback, Softcover reprint of the original 1st ed. 2015)

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.

General

Imprint:	Springer International Publishing AG
Country of origin:	Switzerland
Series:	Lecture Notes in Computational Vision and Biomechanics, 22
Release date:	October 2016
First published:	2015
Editors:	Fei Gao • Kuangyu Shi • Shuo Li
Dimensions:	235 x 155 x 12mm (L x W x T)
Format:	Paperback
Pages:	205
Edition:	Softcover reprint of the original 1st ed. 2015
ISBN-13:	978-3-319-38662-1
Categories:	Books > Computing & IT > General Books > Professional & Technical > Other technologies > General Books > Medicine > Pre-clinical medicine: basic sciences > Physiology > General Books > Science & Mathematics > Physics > Applied physics & special topics > Biophysics
LSN:	3-319-38662-X
Barcode:	9783319386621

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