Unraveling the Power of AI in Medical Imaging

Abstract

Medical imaging has emerged as a cornerstone of modern healthcare, enabling non-invasive visualization of the human body's internal structures and functions. This chapter explores the integral role that image processing plays in advancing the field of medical imaging. Beginning with an overview of medical imaging modalities and the fundamentals of image processing, the authors delve into the intricacies of image acquisition, preprocessing, and enhancement. Image registration, segmentation, and feature extraction are discussed in the context of their profound impact on disease localization and treatment planning. They scrutinize the development and significance of computer-aided diagnosis (CAD) systems, the paradigm shift brought by 3D and 4D imaging, and the integration of machine learning and deep learning algorithms in medical image analysis. They also address the challenges and limitations, along with ethical and regulatory considerations. The exploration of this evolving landscape is a testament to the remarkable strides made in healthcare, with image processing at the heart of these advances.

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