Image Viewer using Digital Imaging and Communications in Medicine (DICOM)
03 Dec 2010-Vol. 1324, Iss: 1, pp 261-266
TL;DR: Main objective is to develop a DICOM image viewer that stores the patient’s information and the image details in the DICom file format.
Abstract: Digital Imaging and Communications in Medicine is a standard for handling, storing, printing, and transmitting information in medical imaging. The National Electrical Manufacturers Association holds the copyright to this standard. It was developed by the DICOM Standards committee. The other image viewers cannot collectively store the image details as well as the patient’s information. So the image may get separated from the details, but DICOM file format stores the patient’s information and the image details. Main objective is to develop a DICOM image viewer. The image viewer will open .dcm i.e. DICOM image file and also will have additional features such as zoom in, zoom out, black and white inverter, magnifier, blur, B/W inverter, horizontal and vertical flipping, sharpening, contrast, brightness and .gif converter are incorporated.
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TL;DR: The proposed approaches provide useful strategies for data collection and confounder assessment for general retrospective record-linkage studies, particular those using hospital databases on radiological procedures for the assessment of exposure to ionizing or non-ionizing radiation.
Abstract: Computed tomography (CT) scans are indispensable in modern medicine; however, the spectacular rise in global use coupled with relatively high doses of ionizing radiation per examination have raised radiation protection concerns. Children are of particular concern because they are more sensitive to radiation-induced cancer compared with adults and have a long lifespan to express harmful effects which may offset clinical benefits of performing a scan. This paper describes the design and methodology of a nationwide study, the Dutch Pediatric CT Study, regarding risk of leukemia and brain tumors in children after radiation exposure from CT scans. It is a retrospective record-linkage cohort study with an expected number of 100,000 children who received at least one electronically archived CT scan covering the calendar period since the introduction of digital archiving until 2012. Information on all archived CT scans of these children will be obtained, including date of examination, scanned body part and radiologist's report, as well as the machine settings required for organ dose estimation. We will obtain cancer incidence by record linkage with external databases. In this article, we describe several approaches to the collection of data on archived CT scans, the estimation of radiation doses and the assessment of confounding. The proposed approaches provide useful strategies for data collection and confounder assessment for general retrospective record-linkage studies, particular those using hospital databases on radiological procedures for the assessment of exposure to ionizing or non-ionizing radiation.
35 citations
Cites methods from "Image Viewer using Digital Imaging ..."
...The PACS system includes DICOM objects which consist of the images and a header, a standardized format for recording machine type and technical parameters during the imaging procedure [14]....
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TL;DR: A software is described that is used to test systems that are involved in sharing medical images within the EHR to test the Cross Enterprise Document Sharing for imaging (XDS-I) integration profile.
Abstract: With the deployments of Electronic Health Records (EHR), interoperability testing in healthcare is becoming crucial. EHR enables access to prior diagnostic information in order to assist in health decisions. It is a virtual system that results from the cooperation of several heterogeneous distributed systems. Interoperability between peers is therefore essential. Achieving interoperability requires various types of testing. Implementations need to be tested using software that simulates communication partners, and that provides test data and test plans. In this paper we describe a software that is used to test systems that are involved in sharing medical images within the EHR. Our software is used as part of the Integrating the Healthcare Enterprise (IHE) testing process to test the Cross Enterprise Document Sharing for imaging (XDS-I) integration profile. We describe its architecture and functionalities; we also expose the challenges encountered and discuss the elected design solutions. EHR is being deployed in several countries. The EHR infrastructure will be continuously evolving to embrace advances in the information technology domain. Our software is built on a web framework to allow for an easy evolution with web technology. The testing software is publicly available; it can be used by system implementers to test their implementations. It can also be used by site integrators to verify and test the interoperability of systems, or by developers to understand specifications ambiguities, or to resolve implementations difficulties.
29 citations
TL;DR: This article reviews some important aspects of developing a telehealth program, and provides two examples of currently operating successful model programs.
22 citations
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Proceedings Article•
01 Sep 2008TL;DR: DICOM (Digital Imaging and Communication in Medicine) makes medical image exchange more easy and independent of the imaging equipment manufacturer and supports other information useful to describe the image.
Abstract: Digital technology has in the last few decades entered almost every aspect of medicine. There has been a huge development in noninvasive medical imaging equipment. Because there are many medical equipment manufacturers, a standard for storage and exchange of medical images needed to be developed. DICOM (Digital Imaging and Communication in Medicine) makes medical image exchange more easy and independent of the imaging equipment manufacturer. Besides the image data, DICOM file format supports other information useful to describe the image. This makes DICOM easy to use and the data exchange fast and safe while avoiding possible confusion caused by multiple files for the same study.
116 citations