Computational Intelligence in Biomedical Imaging

Computational Intelligence in Biomedical Imaging is a comprehensive overview of the state-of-the-art computational intelligence research and technologies in biomedical images with emphasis on biomedical decision making. Biomedical imaging offers useful information on patients’ medical conditions and clues to causes of their symptoms and diseases. Biomedical images, however, provide a large number of images which physicians must interpret. Therefore, computer aids are demanded and become indispensable in physicians’ decision making. This book discusses major technical advancements and research findings in the field of computational intelligence in biomedical imaging, for example, computational intelligence in computer-aided diagnosis for breast cancer, prostate cancer, and brain disease, in lung function analysis, and in radiation therapy. The book examines technologies and studies that have reached the practical level, and those technologies that are becoming available in clinical practices in hospitals rapidly such as computational intelligence in computer-aided diagnosis, biological image analysis, and computer-aided surgery and therapy.

Kenji Suzuki received his B.S. and M.S. degrees in engineering from Meijo University, Japan, in 1991 and 1993, respectively, and his Ph.D. (by Published Work) in engineering from Nagoya University, Japan, in 2001. From 1993 to 2001, he worked at Hitachi Medical Corporation, and then Aichi Prefectural University as a faculty member. In 2001, he joined Department of Radiology at The University of Chicago, as Research Associate. Since 2006, he has been Assistant Professor of Radiology, Medical Physics, and Cancer Research Center there. Dr. Suzuki’s research interests include computer-aided diagnosis, machine learning in medical imaging, and medical image analysis. He has published more than 230 papers (including 90 peer-reviewed journal papers), 75 scientific abstracts, 9 books, and 18 book chapters, and edited 6 journal special issues. His papers were cited more than 2,500 times by other researchers, and he has an h-index of 26 as of 2012. He is inventor on 30 patents (including 11 granted patents), which were licensed to several companies and commercialized. He was awarded more than 25 grants, including NIH R01 grants. He has served as a grant reviewer for funding agencies, including National Science Foundation (NSF), US Army Medical Research and Materiel Command (USAMRMC), and American Cancer Society (ACS). He has been serving as the Editor-in-Chief and an Associate Editor of 23 leading international journals, including Medical Physics, Academic Radiology, International Journal of Biomedical Imaging, and Algorithms. He has been serving as a referee for more than 60 international journals, an organizer of 15 international conferences, and a program committee member of 90 international conferences. He has supervised/co-supervised more than 60 graduate/undergraduate students, postdocs/computer scientists, and visiting professors. He has received numerous awards, including a University of Chicago Paul C. Hodges Award, three Certificate of Merit Awards and Research Trainee Prize from RSNA, Young Investigator Award from Cancer Research Foundation, an IEEE Outstanding Member Award, Honorable Mention Poster Award at SPIE International Symposium on Medical Imaging, and Kurt Rossmann Award for Excellence in Teaching from University of Chicago. He has been a Senior Member of IEEE since 2004.