Artificial Intelligence and PET Imaging, Part 1, An Issue of PET Clinics

1st Edition, Volume 16-4 - September 30, 2021
Editors: Babak Saboury, Eliot Siegel
Language: English
Hardback ISBN:
9 7 8 - 0 - 3 2 3 - 8 3 5 6 0 - 2

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Cover image
Title page
Table of Contents
Copyright
Contributors
Forthcoming Issues
CME Accreditation Page
Preface
A Brief History of AI: How to Prevent Another Winter (A Critical Review)
Key points
Introduction
What is artificial intelligence?
History of artificial intelligence
Summary
Disclosure
Anatomy and Physiology of Artificial Intelligence in PET Imaging
Key points
Introduction
Steps of algorithm development
Building blocks of machine learning networks
The convolutional neural network
Network training
The U-Net
Other networks and models
Summary
Artificial Intelligence in PET: An Industry Perspective
Key points
Glossary
Introduction
Challenges for commercialization
Looking into the future of AI in PET
Summary
Clinics care points
Disclosure
Objective Task-Based Evaluation of Artificial Intelligence-Based Medical Imaging Methods:: Framework, Strategies, and Role of the Physician
Key points
Introduction
Framework for objective task-based assessment
Task-based evaluation of artificial intelligence methods: Role of physicians
Example evaluation studies
Discussions and summary
Summary
Artificial Intelligence and the Future of Diagnostic and Therapeutic Radiopharmaceutical Development:: In Silico Smart Molecular Design
Key points
Introduction
Approach
Structural computational modeling
Behavioral computational modeling
Applications
Summary
Clinics care points
Potential Applications of Artificial Intelligence and Machine Learning in Radiochemistry and Radiochemical Engineering
Key points
Introduction
How machine learning works
Identification of optimal site and strategy for labeling
Reaction optimization
Production and other concerns
Summary
Clinics care points
Additional resources
The Evolution of Image Reconstruction in PET: From Filtered Back-Projection to Artificial Intelligence
Key points
Introduction
Traditional PET image reconstruction
Deep learning–based PET image reconstruction
Summary
Clinics care points
Artificial Intelligence–Based Data Corrections for Attenuation and Scatter in Position Emission Tomography and Single-Photon Emission Computed Tomography
Key points
Introduction
Artificial intelligence–based methods
Artificial intelligence–based attenuation correction
Artificial intelligence scatter correction
Challenges and opportunities for artificial intelligence approaches
Summary
Clinics care points
Funding
Artificial Intelligence-Based Image Enhancement in PET Imaging: Noise Reduction and Resolution Enhancement
Key points
Introduction
Summary of existing methods
Emerging approaches and novel applications
Summary
Toward High-Throughput Artificial Intelligence-Based Segmentation in Oncological PET Imaging
Key points
Introduction
Artificial intelligence techniques for image segmentation in oncological PET imaging
Solutions to tackle limitations in annotations
Evaluation of artificial intelligence techniques
Further advancements
Summary
Clinics care points
Radiomics in PET Imaging:: A Practical Guide for Newcomers
Key points
Introduction
Checklist to design a reliable radiomic study
How to read an article reporting a radiomics study
Handcrafted radiomics
How to manage heterogeneous data
Handcrafted versus deep features
Summary
Clinics care points
Total-Body PET Kinetic Modeling and Potential Opportunities Using Deep Learning
Key points
Introduction
Total-body dynamic PET and its potential for kinetic modeling
Opportunities using deep learning for total-body kinetic modeling
Summary
Clinics care points
Technical terms
Role of Artificial Intelligence in Theranostics:: Toward Routine Personalized Radiopharmaceutical Therapies
Key points
Introduction
Image-based dosimetry in radiopharmaceutical therapies
The role of artificial intelligence in quantitative imaging
The role of artificial intelligence in image registration and segmentation
The role of artificial intelligence in time activity curve assessment and time integration of activity
The role of artificial intelligence in conversion to absorbed dose
Artificial intelligence and the future of personalized radiopharmaceutical therapy: radiomics, dosiomics, and outcome prediction
Summary
Clinics care points
Equitable Implementation of Artificial Intelligence in Medical Imaging: What Can be Learned from Implementation Science?
Key points
Introduction
The promise of artificial intelligence in medical imaging
Artificial intelligence as a complex intervention
The science of implementation
Challenges in implementing artificial intelligence
Recommendations
Summary
Authors’ contributions

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Artificial Intelligence and PET Imaging, Part 1, An Issue of PET Clinics

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Institutional subscription on ScienceDirect

Babak Saboury

Eliot Siegel