15,571 research outputs found

    Clinical outcome following DIAM implantation for symptomatic lumbar internal disk disruption: a 3-year retrospective analysis [Corrigendum]

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    Lu K, Liliang PC, Wang HK, Chen JS, Chen TY, Huang R, Chen HJ. J Pain Res. 2016;9:917–924. Page 917, author affiliation list, the authors have requested for the affiliations to be listed as shown below. Kang Lu1Po-Chou Liliang1Hao-Kuang Wang1Jui-Sheng Chen1Te-Yuan Chen1Ruyi Huang2Han-Jung Chen1,3 1Department of Neurosurgery, E-Da Hospital, I-Shou University, 2Department of Family Medicine, E-Da Hospital, I-Shou University, 3Department of Neurosurgery, E-Da Cancer Hospital, College of Medicine, I-Shou University, Kaohsiung, TaiwanRead the original articl

    A Survey of Cardiac 4D PC‐MRI Data Processing

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    Cardiac four‐dimensional phase‐contrast magnetic resonance imaging (4D PC‐MRI) acquisitions have gained increasing clinical interest in recent years. They allow to non‐invasively obtain extensive information about patient‐specific hemodynamics, and thus have a great potential to improve the diagnosis, prognosis and therapy planning of cardiovascular diseases. A dataset contains time‐resolved, three‐dimensional blood flow directions and strengths, making comprehensive qualitative and quantitative data analysis possible. Quantitative measures, such as stroke volumes, help to assess the cardiac function and to monitor disease progression. Qualitative analysis allows to investigate abnormal flow characteristics, such as vortices, which are correlated to different pathologies. Processing the data comprises complex image processing methods, as well as flow analysis and visualization. In this work, we mainly focus on the aorta. We provide an overview of data measurement and pre‐processing, as well as current visualization and quantification methods. This allows other researchers to quickly catch up with the topic and take on new challenges to further investigate the potential of 4D PC‐MRI data.Cardiac 4D PC‐MRI acquisitions have gained increasing clinical interest in recent years.Computer Graphics ForumArticles366starsta

    A PC parallel port button box provides millisecond response time accuracy under Linux

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    For psychologists, it is sometimes necessary to measure people's reaction times to the nearest millisecond. This article describes how to use the PC parallel port to receive signals from a button box to achieve millisecond response time accuracy. The workings of the parallel port, the corresponding port addresses, and a simple Linux program for controlling the port are described. A test of the speed and reliability of button box signal detection is reported. If the reader is moderately familiar with Linux, this article should provide sufficient instruction for him or her to build and test his or her own parallel port button box. This article also describes how the parallel port could be used to control an external apparatus
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