Medical Image Processing Concepts and Applications G.R. Sinha • Bhagwati Charan Patel
the BOOK 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 emphasised 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 colour 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 to 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 are offered a course on digital image processing.
key points • 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.
The Authors G.R. SINHA, Ph.D. (Electronics and Telecommunication), is Professor in Electronics and Telecommunication and Associate Director, Faculty of Engineering and Technology, Shri Shankaracharya Group of Institutions, Shri Shankaracharya Technical Campus, Bhilai, Chhattisgarh. He is Dean of Faculty and Executive Council Member, Swami Vivekanand Technical University, Bhilai, Chhattisgarh. He has published 121 research papers in various national and international journals and conferences. He has been a Senior Member of IEEE as well as member of signal processing society of IEEE, IACSIT and SIE Singapore and also of many national professional bodies like IETE, ISTE, CSI, ISCA and IEI. Recently, he has been selected for ISTE’s ‘Rajarambapu Patil National Award 2013 for Promising Engineering Teacher’ for his creative work done in the field of technical education to be conferred upon in 43rd National Annual Conventions 2013. His research interests include digital image processing and its applications in biometric security, forensic science, pattern recognition, early detection of breast cancer, content retrieval of underwater imaging, vehicle license plate recognition and multimodal biometrics. BHAGWATI CHARAN PATEL, M.Tech. (Information Technology), is Associate Professor in Information Technology, Faculty of Engineering and Technology, Shri Shankaracharya Group of Institutions, Shri Shankaracharya Technical Campus, Bhilai, Chhattisgarh. He has published 27 research papers in various national and international journals and conferences. His research interests include medical imaging, detection of breast cancer and content retrieval of medical imaging.
contents Preface Acknowledgements 1. Introduction 2. Biomedical Image Processing 3. Noise Reduction Filters for Medical Images 4. Feature Extraction and Statistical Measurement 5. Medical Image Restoration 6. Biomedical Image Segmentation 7. Soft Computing Techniques 8. Content-Based Medical Image Retrieval Appendix A SSGI Databases Appendix B Morphological Operations Used in Medical Image Processing Bibliography Index 2014 / 268 pp. / 17.8 × 23.5 cm / ISBN-978-81-203-4902-5 / ` 495.00
Rimjhim House, 111, Patparganj Industrial Estate, Delhi-110092 Phones: 43031100, 30901100 • Fax: 011-43031144 E-Mail:
[email protected] • Website: www.phindia.com
