A cloud-based multimodality case file for mobile devices.
| Autor: | Balkman JD; From the Department of Radiology, Dartmouth-Hitchcock Medical Center, One Medical Center Dr, Lebanon, NH 03766 (J.D.B.); and Department of Radiology, Emory University School of Medicine, Atlanta, Ga (T.W.L.)., Loehfelm TW |
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| Jazyk: | angličtina |
| Zdroj: | Radiographics : a review publication of the Radiological Society of North America, Inc [Radiographics] 2014 Jul-Aug; Vol. 34 (4), pp. 863-72. Date of Electronic Publication: 2014 Apr 28. |
| DOI: | 10.1148/rg.344130102 |
| Abstrakt: | Recent improvements in Web and mobile technology, along with the widespread use of handheld devices in radiology education, provide unique opportunities for creating scalable, universally accessible, portable image-rich radiology case files. A cloud database and a Web-based application for radiologic images were developed to create a mobile case file with reasonable usability, download performance, and image quality for teaching purposes. A total of 75 radiology cases related to breast, thoracic, gastrointestinal, musculoskeletal, and neuroimaging subspecialties were included in the database. Breast imaging cases are the focus of this article, as they best demonstrate handheld display capabilities across a wide variety of modalities. This case subset also illustrates methods for adapting radiologic content to cloud platforms and mobile devices. Readers will gain practical knowledge about storage and retrieval of cloud-based imaging data, an awareness of techniques used to adapt scrollable and high-resolution imaging content for the Web, and an appreciation for optimizing images for handheld devices. The evaluation of this software demonstrates the feasibility of adapting images from most imaging modalities to mobile devices, even in cases of full-field digital mammograms, where high resolution is required to represent subtle pathologic features. The cloud platform allows cases to be added and modified in real time by using only a standard Web browser with no application-specific software. Challenges remain in developing efficient ways to generate, modify, and upload radiologic and supplementary teaching content to this cloud-based platform. Online supplemental material is available for this article. (©RSNA, 2014.) |
| Databáze: | MEDLINE |
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