MEDICAL IMAGE PROCESSING: CONCEPTS AND APPLICATION SINHA AND PA

Medical Image Processing: Concepts and Applications presents an overview of image processing for various applications in the field of medical science. Inclusion of several topics like noise reduction filters, feature extraction, image restoration, segmentation, soft computing techniques and context-based medical image retrieval, etc. makes this book a single-source information meeting the requirements of the readers. Besides, the coverage of digital image processing, human visual perception and CAD system to be used in automated diagnosis system, medical imaging modalities, various application areas of medical field, detection and classification of various disease, etc. is highly emphasized in the book. The book, divided into eight chapters, presents the topics in a clear, simple, practical and cogent fashion that provides the students with the insight into theory as well as applications to the practical problems. The research orientation of the book greatly supports the concepts of image processing to be applied for segmentation, classification and detection of affected areas in X-ray, MRI and mammographic and all other medical images. Throughout the book, an attempt has been made to address the challenges faced by radiologists, physicians and doctors in scanning, interpretation and diagnosis process. The book uses an abundance of color images to impart a high level of comprehension of concepts and helps in mastering the process of medical image processing. Special attention is made on the review of algorithms or methods of medical image formation, processing and analysis, medical imaging applications and emerging medical imaging modality. This is purely a text dedicated for the undergraduate and postgraduate students of biomedical engineering. The book is also of immense use to the students of computer science engineering and IT who offer a course on digital image processing.Key Features:Chapter-end review questions test the students knowledge of the fundamental concepts. Course outcomes help the students in capturing the key points. Several images and information regarding morphological operations given in appendices help in getting additional knowledge in the field of medical image processing.Table of Contents:PrefaceAcknowledgements Introduction Biomedical Image Processing Noise Reduction Filters for Medical Images Feature Extraction and Statistical Measurement Medical Image Restoration Biomedical Image Segmentation Soft Computing Techniques Content-Based Medical Image RetrievalAppendix A: SSGI DatabasesAppendix B: Morphological Operations Used in Medical Image ProcessingBibliographyIndex