title: Automated routing of DICOM CT, MR, and CR images: solving the pitfalls of vendor-specific DICOM implementations.
abstract: This paper details our experience in developing and implementing an automated DICOM Image Router. This workstation serves as a gateway between image acquisition devices and image display and storage devices. Images are checked for demographic input errors and data format inconsistencies between the source and destination devices. Based on the configured rules, and image may be held for manual correction and/or distributed to multiple locations. Distribution is based on easily configured environmental variables and rules files which may be changed as needed. For example, CT images are typically sent to the archive and to a radiologist's display workstation. If the patient came from the Emergency Department, a copy of the images are sent to a clinician display workstation located in the Emergency Department. If the patient has suffered trauma to the head, a copy of the images are sent to a display workstation in the Neurosurgery Department for possible consultation. The software was developed on a UNIX-based platform and utilizes a Fast Ethernet network. To date, images from a variety of devices have been acquired: General Electric HiSpeed CT/I scanner, General Electric Signa MRI scanner, Philips Thoravision Digital Chest unit, and Fuji AC-3CS Computed Radiography (CR) unit. Each device has presented new challenges in providing a uniform look to patient demographics in the PACS archive. The workstation also provides a buffer in the event of network outages, storing images for later transmission when the network and/or a workstation recover.
authors.affiliation: University of Alabama Hospitals, Birmingham, USA.
authors.forename: K L
authors.initials: KL
authors.lastname: Junck
authors.forename: M
authors.initials: M
authors.lastname: McEachern
authors.forename: S
authors.initials: S
authors.lastname: Grandhi
authors.forename: G
authors.initials: G
authors.lastname: Lewey
mesh_terms: D003952:Diagnostic Imaging / Q000379:methods*; D006801:Humans; D008122:Local Area Networks; D008279:Magnetic Resonance Imaging; D011859:Radiography; D011873:Radiology Information Systems; D014057:Tomography, X-Ray Computed; D014584:User-Computer Interface