Fast processing of digital imaging and communications in medicine (DICOM) metadata using multiseries DICOM format. [PDF]
Ismail M, Philbin J.
europepmc +5 more sources
Impact of digital imaging and communications in medicine workflow on the integration of patient demographics and ophthalmic test data. [PDF]
Pandit RR, Boland MV.
europepmc +5 more sources
Lightweight digital imaging and communications in medicine image encryption for IoT system
Diagnosis in healthcare systems relies heavily on the use of medical images. Images such as X-rays, ultrasounds, computed tomography (CT) scans, magnetic resonance imaging (MRIs), and other scans of the brain and other internal organs of patients include private and personal information.
Muntaha Abdulzahra Hatem +2 more
semanticscholar +5 more sources
Comprehensive Study of Compression and Texture Integration for Digital Imaging and Communications in Medicine Data Analysis [PDF]
In response to the COVID-19 pandemic and its strain on healthcare resources, this study presents a comprehensive review of various techniques that can be used to integrate image compression techniques and statistical texture analysis to optimize the ...
Amit Kumar Shakya, Anurag Vidyarthi
doaj +3 more sources
Enterprise-class digital imaging and communications in medicine (DICOM) image infrastructure [PDF]
Most current picture archiving and communication systems (PACS) are designed for a single department or a single modality. Few PACS installations have been deployed that support the needs of the hospital or the entire Integrated Delivery Network (IDN).
Gary York, Joe Wortmann, Razvan Atanasiu
semanticscholar +5 more sources
The role of digital imaging and communications in medicine in an evolving healthcare computing environment: The model is the Message [PDF]
The decision to use Digital Imaging and Communications in Medicine (DICOM), Health Level 7 (HL7), a common object broker such as the Common Object Request Brokering Architecture (CORBA) or ActiveX (Microsoft Corp, Redmond, WA) or any other protocol for the transfer of DICOM data depends on the requirements of a particular implementation.
W D Bidgood +5 more
semanticscholar +5 more sources
Digital Imaging and Communications in Medicine (DICOM): A Practical Introduction and Survival Guide [PDF]
O.S. Pianykh Berlin, Germany: Springer-Verlag, 2008, 383 pages, $119 The goals of DICOM are to achieve compatibility and improve workflow efficiency between imaging systems and other information systems in health care.
Donald J. Peck
semanticscholar +4 more sources
Distributing Digital Imaging and Communications in Medicine data and optimizing access over satellite networks [PDF]
To improve radiology access to full uncompressed Digital Imaging and Communications in Medicine (DICOM) data sets, we evaluated satellite access to a DICOM server. Radiologists' home computers were connected by satellite to a Medweb DICOM server (Medweb, San Francisco, CA). A 10.2-kb data set containing a 19-image head computed tomography (CT) scan was
Randy D. Ernst +4 more
semanticscholar +5 more sources
Integrating Digital Imaging and Communications In Medicine (DICOM)-structured reporting into the hospital environment [PDF]
The Digital Imaging and Communications in Medicine (DICOM) Standards Committee has balloted and accepted a new class of objects dealing with the generation, distribution, and management of reports. The structured reporting (SR) objects bridge the traditional separation between imaging and information systems.
Dezso Csipo +2 more
semanticscholar +5 more sources
The use of Digital Imaging and Communications in Medicine (DICOM) in the integration of imaging into the electronic patient record at the Department of Veterans Affairs [PDF]
The US Department of Veterans Affairs (VA) is using the Digital Imaging and Communications in Medicine (DICOM) standard to integrate image data objects from multiple systems for use across the health care enterprise. DICOM uses a structured representation of image data and a communication mechanism that allows the VA to easily acquire images from ...
Peter M. Kuzmak, Ruth E. Dayhoff
semanticscholar +5 more sources

