This book provides a unique introduction to the vast field of Medical Imaging Informatics for students and physicians by depicting the basics of the different areas in Radiology Informatics. It features short chapters on the different main areas in Medical Imaging Informatics, such as Picture Archiving and Communication Systems (PACS), radiology reporting, data sharing, and de-identification and anonymization, as well as standards like Digital Imaging and Communications in Medicine (DICOM), Integrating the Health Enterprise (IHE) and Health Level 7 (HL7,.
Written by experts in the respective fields and endorsed by the European Society of Medical Imaging Informatics (EuSoMII) the scope of the book is based on the Medical Imaging Informatics sub-sections of the European Society of Radiology (ESR) European Training Curriculum Undergraduate Level and Level I.
This volume will be an invaluable resource for residents and radiologists and is also specifically suited for undergraduate training.
Reihe
Auflage
Sprache
Verlagsort
Verlagsgruppe
Springer International Publishing
Zielgruppe
Für höhere Schule und Studium
Für Beruf und Forschung
Illustrationen
12
12 farbige Abbildungen
VII, 97 p. 12 illus. in color.
Maße
Höhe: 203 mm
Breite: 127 mm
Dicke: 6 mm
Gewicht
ISBN-13
978-3-030-71884-8 (9783030718848)
DOI
10.1007/978-3-030-71885-5
Schweitzer Klassifikation
Peter van Ooijen, MSc PhD, is an Associate Professor in Medical Imaging Informatics at the Department of Radiation Oncology at the University Medical Center Groningen, where he is also the coordinator of the Machine Learning Lab, which is part of the Data Science in Health (DASH) unit. He is a board member of EuSoMII and has been involved in Medical Imaging Informatics research for over 20 years and co-published over 175 peer-reviewed publications, of which over 150 are listed in PubMed. He is a well-received invited lecturer at various conferences and courses worldwide, and is an editorial board member of PLOS ONE and European Radiology Experimental. His research activities include projects on advanced visualization and processing of imaging data, imaging biomarkers, human-machine interaction, and deep learning. He is senior member of the IEEE, holds a University Teaching Qualification in the Netherlands and is a CPHIMS.
