Computer-Aided Detection and Diagnosis in Medical Imaging

Improve the Accurate Detection and Diagnosis of Cancer and Other Diseases Despite the expansion of the CAD field in recent decades, there is currently no single book dedicated to the development and use of CAD systems. Filling this need, Computer-Aided Detection and Diagnosis in Medical Imaging covers the major technical advances and methodologies shaping the development and clinical utility of CAD systems in breast imaging, chest imaging, abdominal imaging, and other emerging applications. After a historical overview of CAD, the book is divided into four sections. The first section presents CAD technologies in breast imaging, which is the most advanced area of CAD application. The second section discusses CAD technologies in chest and abdominal imaging. The third section explores emerging CAD technologies in a wide range of imaging modalities designed to address a variety of diseases. The final section describes the current use of CAD systems in clinical practice as well as how CAD will play an important role in quantitative image biomarkers and imaging genomics research. This book brings together existing and emerging CAD approaches at a level understandable to students, CAD system developers, basic scientists, and physician scientists. Newcomers to CAD research will learn about fundamental aspects in the process of CAD system development. Developers of CAD systems will gain insight on designing new or improved CAD systems. Experienced researchers will get up-to-date information on the latest CAD technologies.

Historical Overview Kunio Doi Computer-Aided Detection and Diagnosis in Breast ImagingDetection and Diagnosis of Breast Masses in Mammography Nico KarssemeijerDetection and Diagnosis of Microcalcifications in Mammography Hao Jing, Issam El Naqa, and Yongyi YangDetection and Diagnosis of Breast Mass in Digital Tomosynthesis Heang-Ping ChanAssessment of Breast Density Sir Michael Brady, Ralph Highnam, and Nico KarssemeijerCase-Based CAD Systems in Breast Imaging Georgia D. Tourassi and Maciej A. MazurowskiMultimodality CAD Systems for Breast Cancer Karen Drukker and Charlene A. Sennett Computer-Aided Detection and Diagnosis in Chest and Abdominal ImagingDetection of Lung Nodules in Chest Radiography Bram van GinnekenDetection and Diagnosis of Lung Nodules in Thoracic CT Qiang LiDetection and Diagnosis of Interstitial Lung Disease Shigehiko Katsuragawa, Takayuki Ishida, Kazuto Ashizawa, and Yoshikazu UchiyamaMeasurement of Change in Size of Lung Nodules Anthony ReevesPublic Lung Image Databases Samuel G. Armato IIIDetection and Diagnosis of Colonic Polyp in CT Colonography Jerome Zhengrong Liang Emerging Computer-Aided Detection and DiagnosisDetection and Characterization of Brain Tumor Walter G. O’Dell, Robert Ambrosini, Anitha Priya Krishnan, Mathews Jacob, and Delphine DavisDetection of Cerebrovascular Diseases Yoshikazu Uchiyama and Hiroshi FujitaDetection of Pulmonary Embolism Chuan Zhou and Heang-Ping ChanDetection of Eye Diseases Chisako Muramatsu and Hiroshi FujitaDetection and Diagnosis of Prostate Cancer in MR Pieter Vos, Geert Litjens, and Henkjan HuismanDetection of Bone Metastasis in Bone Scan Junji ShiraishiIntegration of CAD and PACS Brent J. Liu, Anh Le, and H.K. Huang Assessment and Clinical Utility of Computer-Aided Detection and DiagnosisMethodologies for the Assessment of CAD Systems Yulei JiangClinical Utility of CAD Systems for Breast Cancer Jocelyn A. Rapelyea and Rachel F. BremClinical Utility of CADe for Screening Mammography: A European Perspective Maureen G.C. Gillan and Fiona J. GilbertClinical Utility of CAD Systems for Lung Cancer Matthew T. FreedmanClinical Utility of CADe Systems for Colon Cancer Farid Dahi and Abraham H. DachmanFuture Perspectives: CAD to Quantitative Image Biomarkers, Phenotypes, and Imaging Genomics Maryellen L. Giger Index

Qiang Li is a professor at the Shanghai Advanced Research Institute and an adjunct associate professor at Duke University. Dr. Li holds six patents on CAD-related technologies and has published more than 60 peer-reviewed journal papers on CAD and medical imaging applications. Robert M. Nishikawa is a professor and director of the Clinical Translational Medical Physics Laboratory in the Department of Radiology at the University of Pittsburgh. A fellow of the American Association of Physicists in Medicine and the Society of Breast Imaging, Dr. Nishikawa holds seven patents on CAD-related technologies, has won 24 awards, and has published more than 200 articles on breast imaging.