124,710 research outputs found

    Pocket Brain, an interactive, web-based ultrasound atlas of normal and abnormal fetal brain development

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    The teaching of ultrasound involves various modalities, including direct tuition by a teacher, supervised acquisition and application of practical skills, and observation of educational normal and pathological specimens. Some aspects can be achieved by self-study, using multimedia material and ultrasound simulators. Imaging data are well suited to transformation into digital learning objects. Using appropriately converted obstetric and gynecological ultrasound volume data, we have shown previously that such digital objects can be used with regular computer equipment, via a freely available storage and interactive display format, QuickTime Virtual reality. Mobile devices, including smartphones, are ubiquitous in medicine, but a recent literature review found only a limited number of publications regarding the use of reference applications by physicians or medical students6. Until recently, due to the lack of a universal standard, interactive imaging content was not available for widespread use on stationary and mobile devices. Here, we extend the existing uses of virtual reality imaging for ultrasound to a web-based, cross-platform reference application, using a new standard format (hypertext markup language level, revision 5 (HTML5)), compatible with current mobile devices, to display interactive volume imaging data. Using ultrasound volume datasets from clinical cases with known outcomes, acquired from normal and abnormal mid-trimester fetal brains, as described previously4, we created ‘Pocket Brain’, an interactive onlinemultimedia atlas of fetal brain anatomy and pathology for stationary andmobile devices

    Virtual reality ultrasound imaging of the normal and abnormal fetal central nervous system.

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    OBJECTIVES: In fetal ultrasound imaging, teaching and experience are of paramount importance to improve prenatal detection rates of fetal abnormalities. Yet both aspects depend on exposure to normal and, in particular, abnormal 'specimens'. We aimed to generate a number of simple virtual reality (VR) objects of the fetal central nervous system for use as educational tools. METHODS: We applied a recently proposed algorithm for the generation of fetal VR object movies to the normal and abnormal fetal brain and spine. Interactive VR object movies were generated from ultrasound volume data from normal fetuses and fetuses with typical brain or spine anomalies. Pathognomonic still images from all object movies were selected and annotated to enable recognition of these features in the object movies. RESULTS: Forty-six virtual reality object movies from 22 fetuses (two with normal and 20 with abnormal brains) were generated in an interactive display format (QuickTime) and key images were annotated. The resulting .mov files are available for download from the website of this journal. CONCLUSIONS: VR object movies can be generated from educational ultrasound volume datasets, and may prove useful for teaching and learning normal and abnormal fetal anatomy

    Simple virtual reality display of fetal volume ultrasound

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    Three-dimensional (3D) ultrasound volume acquisition, analysis and display of fetal structures have enhanced their visualization and greatly improved the general understanding of their anatomy and pathology. The dynamic display of volume data generally depends on proprietary software, usually supplied with the ultrasound system, and on the operator's ability to maneuver the dataset digitally. We have used relatively simple tools and an established storage, display and manipulation format to generate non-linear virtual reality object movies of prenatal images (including moving sequences and 3D-rendered views) that can be navigated easily and interactively on any current computer. This approach permits a viewing or learning experience that is superior to watching a linear movie passively

    Going Beyond Counting First Authors in Author Co-citation Analysis

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    The present study examines one of the fundamental aspects of author co-citation analysis (ACA) - the way co-citation counts are defined. Co-citation counting provides the data on which all subsequent statistical analyses and mappings are based, and we compare ACA results based on two different types of co-citation counting - the traditional type that only counts the first one among a cited work's authors on the one hand and a non-traditional type that takes into account the first 5 authors of a cited work on the other hand. Results indicate that the picture produced through this non-traditional author co-citation counting contains more coherent author groups and is therefore considerably clearer. However, this picture represents fewer specialties in the research field being studied than that produced through the traditional first-author co-citation counting when the same number of top-ranked authors is selected and analyzed. Reasons for these effects are discussed

    Acrania, exenxcephaly, anencephaly and encephalocele

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    An overview on the principles of diagnosis and management of selected fetal anomalie

    Dispelling the Myths Behind First-author Citation Counts

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    We conducted a full-scale evaluative citation analysis study of scholars in the XML research field to explore just how different from each other author rankings resulting from different citation counting methods actually are, and to demonstrate the capability of emerging data and tools on the Web in supporting more realistic citation counting methods. Our results contest some common arguments for the continued use of first-author citation counts in the evaluation of scholars, such as high correlations between author rankings by first-author citation counts and other citation counting methods, and high costs of using more realistic citation counting methods that are not well-supported by the ISI databases. It is argued that increasingly available digital full text research papers make it possible for citation analysis studies to go beyond what the ISI databases have directly supported and to employ more sophisticated methods
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