Digital Imaging and Communications in Medicine (DICOM) is the dominant standard for medical imaging data. DICOM-compliant devices and the data they produce are generally designed for clinical use and often do not match the needs of users in research or clinical trial settings.

To enable this feature, you will need to specify a new 'DICOM Server' (such as. On the 'Edit' button (upper left corner); Tap on 'Add new Node' in the 'DICOM.

DicomBrowser is software designed to ease the transition between clinically oriented DICOM tools and the specialized workflows of research imaging. It supports interactive loading and viewing of DICOM images and metadata across multiple studies and provides a rich and flexible system for modifying DICOM metadata. Users can make ad hoc changes in a graphical user interface, write metadata modification scripts for batch operations, use partly automated methods that guide users to modify specific attributes, or combine any of these approaches. DicomBrowser can save modified objects as local files or send them to a DICOM storage service using the C-STORE network protocol.

DicomBrowser is open-source software, available for download. Background DICOM is the dominant standard format for medical imaging data [, ]. The imaging devices that produce DICOM-formatted data, the PACS systems that store these data, the workstations used to view images, and the workflows best supported by all of these systems are strongly oriented towards clinical applications.

Research projects using medical imaging data, including clinical trials, have their own specialized needs that diverge from workflows designed for clinical settings. For example, limitations of clinical PACS systems and the need to run post-processing and analysis software often lead users to store their DICOM data on general-purpose file systems, where there is no common convention for data organization. Images acquired in a clinical setting and used in research studies often must have at least some protected health information (PHI) removed from the image metadata. Some information, such as study date, that could in principle be used to identify the subject, might be needed for data analysis; other attributes, such as patient name, can and should be removed.

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Operating procedures at some clinical imaging facilities may inject PHI into fields that are not generally considered sensitive. Images acquired in research facilities may contain some PHI and often use standard fields such as patient name in nonstandard ways. The DICOM standard includes deidentification schemes (the attribute confidentiality profiles [2, section PS 3.15]), but the variability in image metadata content and in the specific requirements of each research study creates a need for custom deidentification, pseudonymization, or, generally, metadata conditioning procedures. Kithara dos enabler download music. We set out to write software that would smooth the transition between clinically oriented DICOM and the specialized workflows of research imaging. Our goals included an easy-to-use interface for locating and identifying DICOM files, summary views of DICOM metadata from multiple studies at varying levels of the patient–study–series–instance hierarchy, and tools for modifying DICOM metadata that mix fully automated modification, guided manual input, and ad hoc, manual manipulation.