Medical Imaging Informatics

ISBN-13: 9781441903846 / Angielski / Twarda / 2010 / 470 str.

Alex A. T. Bui; Ricky K. Taira

Opis

Medical Imaging Informatics provides an overview of this growing discipline, which stems from an intersection of biomedical informatics, medical imaging, computer science and medicine. Supporting two complementary views, this volume explores the fundamental technologies and algorithms that comprise this field, as well as the application of medical imaging informatics to subsequently improve healthcare research. Clearly written in a four part structure, this introduction follows natural healthcare processes, illustrating the roles of data collection and standardization, context extraction and modeling, and medical decision making tools and applications. Medical Imaging Informatics identifies core concepts within the field, explores research challenges that drive development, and includes current state-of-the-art methods and strategies.

Recenzje

From the reviews:

"Medical Imaging Informatics ... introducing the reader to the multifaceted discipline of imaging informatics and following the process of patient care along the way. ... geared toward researchers in the field and toward radiologists with a serious interest in the future of informatics. Strengths of the text include the frequent real-world examples of the concepts discussed, which are directly related to current research and developments in imaging informatics. ... reference lists will be invaluable to researchers in the field." (A. Kyle Jones, The Journal of Nuclear Medicine, Vol. 51 (10), October, 2010)

Spis treści

Performing the Imaging Exam.- A Primer on Imaging Anatomy and Physiology.- Integrating Imaging into the Patient Record.- Information Systems & Architectures.- Medical Data Visualization: Toward Integrated Clinical Workstations.- Documenting Imaging Findings.- Characterizing Imaging Data.- Natural Language Processing of Medical Reports.- Organizing Observations: Data Models.- Toward Medical Decision Making.- Disease Models, Part I: Graphical Models.- Disease Models, Part II: Querying & Applications.- Evaluation.