Biomedical Image Synthesis and Simulation: Methods and Applications

ISBN-13: 9780128243497 / Angielski / Miękka / 2022

Ninon Burgos; David Svoboda

Spis treści

1. Introduction to Medical and Biomedical Image Synthesis
2. Parametric model-based approaches
3. Monte Carlo Simulations for Medical and Biomedical Applications
4. Medical Image Synthesis using Segmentation and Registration
5. Dictionary Learning for Medical Image Synthesis
6. Convolutional Neural Networks for Image Synthesis
7. Generative Adversarial Networks for Medical Image Synthesis
8. Autoencoders and Variational Autoencoders in Medical Image Analysis
9. Optimization of the MR Imaging Pipeline Using Simulation
10. Synthesis for Image Analysis Across Modalities: Application to Registration and Segmentation
11. Medical Image Harmonization Through Synthesis
12. Medical Image Super-Resolution With Deep Networks
13. Medical Image Denoising
14. Data Augmentation for Medical Image Analysis
15. Unsupervised Abnormality Detection in Medical Images with Deep Generative Methods
16. Regularising Disentangled Representations with Anatomical Temporal Consistency
17. Image Imputation in Cardiac MRI and Quality Assessment
18. Image Synthesis for Low-count PET Acquisitions: Lower Dose, Shorter Time
19. PET/MRI attenuation correction
20. Image Synthesis for MRI-only Radiotherapy Treatment Planning
21. Review of Cell Image Synthesis for Image Processing
22. Generative Models for Synthesis of Colorectal Cancer Histology Images
23. Spatiotemporal Image Generation for Embryomics Applications
24. Biomolecule Trafficking and Network Tomography-based Simulations
25. Validation and Evaluation Metrics for Medical and Biomedical Image Synthesis
26. Uncertainty Quantification in Medical Image Synthesis
27. Future trends