Medical imaging informatics is a rapidly growing field that combines the principles of medical imaging and informatics to improve the acquisition, management, and interpretation of medical images. This chapter introduces the basic concepts of medical imaging informatics, including image processing, feature engineering, and machine learning. It also discusses the recent advancements in computer vision and deep learning technologies and how they are used to develop new quantitative image markers and prediction models for disease detection, diagnosis, and prognosis prediction. By covering the basic knowledge of medical imaging informatics, this chapter provides a foundation for understanding the role of informatics in medicine and its potential impact on patient care.

翻译：医学影像信息学是一个快速发展的领域，它结合了医学影像与信息学的原理，以改进医学图像的获取、管理和解读。本章介绍了医学影像信息学的基本概念，包括图像处理、特征工程和机器学习。同时，本章讨论了计算机视觉和深度学习技术的最新进展，以及如何利用这些技术开发新的定量图像标记和预测模型，用于疾病检测、诊断和预后预测。通过涵盖医学影像信息学的基础知识，本章为理解信息学在医学中的作用及其对患者护理的潜在影响奠定了基础。