Unraveling the Power of AI in Medical Imaging: A Deep Dive Into Image Processing

Unraveling the Power of AI in Medical Imaging: A Deep Dive Into Image Processing

Copyright: © 2024 |Pages: 28
DOI: 10.4018/979-8-3693-5261-8.ch017
OnDemand:
(Individual Chapters)
Available
$37.50
No Current Special Offers
TOTAL SAVINGS: $37.50

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.
Chapter Preview
Top

1. Introduction

The introduction serves as the gateway to the entire paper, setting the stage for the reader by providing context, outlining the problem, and emphasizing the significance of the topic.

Opening Hook: Begin with a compelling anecdote, a thought-provoking question, or a surprising statistic related to the field of medical imaging. This captivates the reader's attention and underscores the real-world relevance of the topic. For example:

Imagine a world without medical imaging—a world where doctors are left in the dark, unable to peer inside the human body without invasive procedures, and where disease detection and treatment planning are based solely on guesswork. This is the world that medical imaging has transformed.

Background Information: Provide a concise historical overview of medical imaging. Highlight significant milestones, such as the discovery of X-rays by Wilhelm Roentgen in 1895, and the subsequent development of various imaging modalities, including CT scans, MRI, and ultrasound.

Role of Medical Imaging: Explain the pivotal role that medical imaging plays in contemporary healthcare. Elaborate on how it has become an indispensable tool for diagnosis, treatment, and monitoring of various medical conditions.

Challenges and Opportunities: Acknowledge the challenges faced in the field of medical imaging, such as high costs, radiation exposure, and the need for skilled radiologists. Discuss the opportunities for improvement, which will be addressed in the paper through the lens of image processing.

Importance of Image Processing: Introduce the main focus of the paper—image processing. Explain that while medical imaging has already revolutionized healthcare, image processing takes it a step further by enhancing the quality of medical images, enabling more accurate diagnosis, and improving treatment outcomes.

Complete Chapter List

Search this Book:
Reset