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Computational Methods for Molecular Imaging

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Cover of 'Computational Methods for Molecular Imaging'

Table of Contents

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    Book Overview
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    Chapter 1 Computational Methods for Molecular Imaging
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    Chapter 2 Fuzzy Connectedness Image Co-segmentation for HybridPET/MRI and PET/CT Scans
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    Chapter 3 PET/MRI/VCT: Restoration of Virtual CT from Transmission Scan on PET/MRI Using Joint-Anisotropic Diffusion
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    Chapter 4 Large Scale Simplex Optimisation to Accelerate Kinetic Analysis
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    Chapter 5 Gradient Projection for Regularized Cryo-Electron Tomographic Reconstruction
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    Chapter 6 Joint Direct Motion Estimation/Kinetic Images Reconstruction from Gated PET Data
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    Chapter 7 The Effect of Mouth Motion on the Attenuation Correction in Neurological PET Studies
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    Chapter 8 Dual Estimation of Activity Maps and Kinetic Parameters for Dynamic PET Imaging
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    Chapter 9 Time-Activity Curve Based Sinogram Decomposition for Streak Artifacts Reduction in Dynamic PET Reconstruction
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    Chapter 10 4-D PET-MR with Volumetric Navigators and Compressed Sensing
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    Chapter 11 Robust Feature Selection to Predict Lung Tumor Recurrence
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    Chapter 12 Region-Based Data-Driven Intensity Normalization for Group Comparison of Functional Brain Images
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    Chapter 13 A Reaction-Diffusion Simulation Model of [ $$^{18}$$ 18 F]FDG PET Imaging for the Quantitative Interpretation of Tumor Glucose Metabolism
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    Chapter 14 Generation of MR-Based Attenuation Correction Map of PET Images in the Brain Employing Joint Segmentation of Skull and Soft-Tissue from Single Short-TE MR Imaging Modality
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    Chapter 15 Query by Image of Brain SPECT Database
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    Chapter 16 Age-Related Glucose Metabolism Changes in Brain
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    Chapter 17 Investigation of Single- Versus Joint-Modality PET-MR Registration for 18F-Florbetapir Quantification: Application to Alzheimer’s Disease
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Title
Computational Methods for Molecular Imaging
Published by
Springer International Publishing, June 2015
DOI 10.1007/978-3-319-18431-9
ISBNs
978-3-31-918430-2, 978-3-31-918431-9
Editors

Gao, Fei, Shi, Kuangyu, Li, Shuo

Mendeley readers

Mendeley readers

The data shown below were compiled from readership statistics for 23 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
United States 2 9%
Colombia 1 4%
France 1 4%
Unknown 19 83%

Demographic breakdown

Readers by professional status Count As %
Student > Ph. D. Student 7 30%
Researcher 6 26%
Student > Master 3 13%
Other 2 9%
Student > Bachelor 1 4%
Other 1 4%
Unknown 3 13%
Readers by discipline Count As %
Engineering 9 39%
Computer Science 3 13%
Medicine and Dentistry 3 13%
Biochemistry, Genetics and Molecular Biology 2 9%
Neuroscience 1 4%
Other 0 0%
Unknown 5 22%