COMPUTER-AIDED DETECTION AND DIAGNOSIS IN MEDICAL IMAGING

- Discusses the early development of CAD schemes, recent CAD research and applications of CAD systems, and future perspectives of CAD development and research
- Assesses the clinical use of CAD systems for breast, lung, and colon cancers
- Covers all the major medical imaging modalities, including optical imaging, x-ray projection imaging, CT, MRI, PET, and ultrasound
- Explains how CAD systems are used in the risk assessment, detection, and diagnosis of breast cancer
- Describes how to detect and diagnose lung nodules, interstitial lung disease, and colon polyps
- Reveals how novel CAD technologies are addressing a range of diseases, such as brain tumors, pulmonary embolism, eye diseases, prostate cancer, and bone diseases

Summary
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.

Editor(s) Bio
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.

Table of Contents
Historical Overview Kunio Doi
Computer-Aided Detection and Diagnosis in Breast Imaging
Detection and Diagnosis of Breast Masses in Mammography Nico Karssemeijer
Detection and Diagnosis of Microcalcifications in Mammography Hao Jing, Issam El Naqa, and Yongyi Yang
Detection and Diagnosis of Breast Mass in Digital Tomosynthesis Heang-Ping Chan
Assessment of Breast Density Sir Michael Brady, Ralph Highnam, and Nico Karssemeijer
Case-Based CAD Systems in Breast Imaging Georgia D. Tourassi and Maciej A. Mazurowski
Multimodality CAD Systems for Breast Cancer Karen Drukker and Charlene A. Sennett
Computer-Aided Detection and Diagnosis in Chest and Abdominal Imaging
Detection of Lung Nodules in Chest Radiography Bram van Ginneken
Detection and Diagnosis of Lung Nodules in Thoracic CT Qiang Li
Detection and Diagnosis of Interstitial Lung Disease Shigehiko Katsuragawa, Takayuki Ishida, Kazuto Ashizawa, and Yoshikazu Uchiyama
Measurement of Change in Size of Lung Nodules Anthony Reeves
Public Lung Image Databases Samuel G. Armato III
Detection and Diagnosis of Colonic Polyp in CT Colonography Jerome Zhengrong Liang
Emerging Computer-Aided Detection and Diagnosis
Detection and Characterization of Brain Tumor Walter G. O’Dell, Robert Ambrosini, Anitha Priya Krishnan, Mathews Jacob, and Delphine Davis
Detection of Cerebrovascular Diseases Yoshikazu Uchiyama and Hiroshi Fujita
Detection of Pulmonary Embolism Chuan Zhou and Heang-Ping Chan
Detection of Eye Diseases Chisako Muramatsu and Hiroshi Fujita
Detection and Diagnosis of Prostate Cancer in MR Pieter Vos, Geert Litjens, and Henkjan Huisman
Detection of Bone Metastasis in Bone Scan Junji Shiraishi
Integration of CAD and PACS Brent J. Liu, Anh Le, and H.K. Huang
Assessment and Clinical Utility of Computer-Aided Detection and Diagnosis
Methodologies for the Assessment of CAD Systems Yulei Jiang
Clinical Utility of CAD Systems for Breast Cancer Jocelyn A. Rapelyea and Rachel F. Brem
Clinical Utility of CADe for Screening Mammography: A European Perspective Maureen G.C. Gillan and Fiona J. Gilbert
Clinical Utility of CAD Systems for Lung Cancer Matthew T. Freedman
Clinical Utility of CADe Systems for Colon Cancer Farid Dahi and Abraham H. Dachman
Future Perspectives: CAD to Quantitative Image Biomarkers, Phenotypes, and Imaging Genomics Maryellen L. Giger