518 pages | 119 Color Illus. | 101 B/W Illus.
With the development of rapidly increasing medical imaging modalities and their applications, the need for computers and computing in image generation, processing, visualization, archival, transmission, modeling, and analysis has grown substantially. Computers are being integrated into almost every medical imaging system. Medical Image Analysis and Informatics demonstrates how quantitative analysis becomes possible by the application of computational procedures to medical images. Furthermore, it shows how quantitative and objective analysis facilitated by medical image informatics, CBIR, and CAD could lead to improved diagnosis by physicians. Whereas CAD has become a part of the clinical workflow in the detection of breast cancer with mammograms, it is not yet established in other applications. CBIR is an alternative and complementary approach for image retrieval based on measures derived from images, which could also facilitate CAD. This book shows how digital image processing techniques can assist in quantitative analysis of medical images, how pattern recognition and classification techniques can facilitate CAD, and how CAD systems can assist in achieving efficient diagnosis, in designing optimal treatment protocols, in analyzing the effects of or response to treatment, and in clinical management of various conditions. The book affirms that medical imaging, medical image analysis, medical image informatics, CBIR, and CAD are proven as well as essential techniques for health care.
"…a good addition to the shelves of the post graduate students and researchers working in the application of information and communication technology for the betterment of healthcare."
—Sudipta Mukhopadhyay, Indian Institute of Technology Kharagpur, India
"… provides chapters written by experts on a wide variety of applications of computer-aided diagnosis (CAD). Each chapter provides an excellent insight into the topic covered. Thus, the book gives readers an excellent overview of the field, unmet needs and avenues for further research."
—Aaron Fenster, Western University, London, Ontario, Canada
"This book provides excellent coverage of the state-of-the-art computer-aided diagnosis and therapy in medical imaging. The editors did an amazing job in arranging chapters to provide a status quo of these fast-developing fields. Each chapter is written by experts in the fields in a clear, readable manner without sacrificing the scientific rigor. I am confident that everyone who reads the book will gain a solid knowledge about the subject matter presented in the chapters. This is a must-read book for researchers and clinicians who are working on or interested in these rapidly developing fields of computer-aided diagnosis and therapy in medical imaging."
—Hiro Yoshida, Massachusetts General Hospital/Harvard Medical School, USA
Foreword on CAD: Its Past, Present, and Future
1 Segmentation and Characterization of White Matter Lesions in FLAIR Magnetic Resonance Imaging
2 Computer-Aided Diagnosis with Retinal Fundus Images
3 Computer-Aided Diagnosis of Retinopathy of Prematurity in Retinal Fundus Images
4 Automated OCT Segmentation for Images with DME
5 Computer-Aided Diagnosis with Dental Images
6 CAD Tool and Telemedicine for Burns
7 CAD of Cardiovascular Diseases
8 Realistic Lesion Insertion for Medical Data Augmentation
9 Diffuse Lung Diseases (Emphysema, Airway and Interstitial Lung Diseases)
10 Computerized Detection of Bilateral Asymmetry
11 Computer-Aided Diagnosis of Breast Cancer with Tomosynthesis Imaging
12 Computer-Aided Diagnosis of Spinal Abnormalities
13 CAD of GI Diseases with Capsule Endoscopy
14 Texture-Based Computer-Aided Classification of Focal Liver Diseases using Ultrasound Images
15 CAD of Dermatological Ulcers (Computational Aspects of CAD for Image Analysis of Foot and Leg Dermatological Lesions)
16 In Vivo Bone Imaging with Micro-Computed Tomography
17 Augmented Statistical Shape Modeling for Orthopedic Surgery and
18 Disease-Inspired Feature Design for Computer-Aided Diagnosis of Breast Cancer Digital Pathology Images
19 Medical Microwave Imaging and Analysis
20 Making Content-Based Medical Image Retrieval Systems for Computer-Aided Diagnosis: From Theory to Application
21 Health Informatics for Research Applications of CAD