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Simulation and Synthesis in Medical Imaging

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Cover of 'Simulation and Synthesis in Medical Imaging'

Table of Contents

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    Book Overview
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    Chapter 1 Software Framework for Realistic MRI Simulations Using the Polyhedral Fourier Transform
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    Chapter 2 Covering Population Variability: Morphing of Computation Anatomical Models
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    Chapter 3 Image-Based PSF Estimation for Ultrasound Training Simulation
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    Chapter 4 Microstructure Imaging Sequence Simulation Toolbox
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    Chapter 5 From Image-Based Modeling to the Modeling of Imaging with the Virtual Population
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    Chapter 6 Numerical Simulation of Ultrasonic Backscattering During Fracture Healing Using Numerical Models Based on Scanning Acoustic Microscopy Images
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    Chapter 7 GBM Modeling with Proliferation and Migration Phenotypes: A Proposal of Initialization for Real Cases
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    Chapter 8 PURE: Panoramic Ultrasound Reconstruction by Seamless Stitching of Volumes
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    Chapter 9 Pseudo-healthy Image Synthesis for White Matter Lesion Segmentation
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    Chapter 10 Registration of Pathological Images
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    Chapter 11 Generation of Realistic 4D Synthetic CSPAMM Tagged MR Sequences for Benchmarking Cardiac Motion Tracking Algorithms
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    Chapter 12 Geometry Regularized Joint Dictionary Learning for Cross-Modality Image Synthesis in Magnetic Resonance Imaging
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    Chapter 13 Whole Image Synthesis Using a Deep Encoder-Decoder Network
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    Chapter 14 Automated Quality Assessment of Cardiac MR Images Using Convolutional Neural Networks
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    Chapter 15 Patch Based Synthesis of Whole Head MR Images: Application To EPI Distortion Correction
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    Chapter 16 MRI-TRUS Image Synthesis with Application to Image-Guided Prostate Intervention
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    Chapter 17 Automatic Generation of Synthetic Retinal Fundus Images: Vascular Network
Attention for Chapter 1: Software Framework for Realistic MRI Simulations Using the Polyhedral Fourier Transform
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Chapter title
Software Framework for Realistic MRI Simulations Using the Polyhedral Fourier Transform
Chapter number 1
Book title
Simulation and Synthesis in Medical Imaging
Published in
Lecture notes in computer science, September 2016
DOI 10.1007/978-3-319-46630-9_1
Book ISBNs
978-3-31-946629-3, 978-3-31-946630-9
Authors

Shuo Han, Daniel A. Herzka

Mendeley readers

Mendeley readers

The data shown below were compiled from readership statistics for 7 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 7 100%

Demographic breakdown

Readers by professional status Count As %
Student > Ph. D. Student 2 29%
Researcher 2 29%
Student > Doctoral Student 1 14%
Student > Master 1 14%
Lecturer 1 14%
Other 0 0%
Readers by discipline Count As %
Computer Science 3 43%
Engineering 2 29%
Medicine and Dentistry 1 14%
Unknown 1 14%