Papers by Keyword: Cerebrospinal Fluid

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Authors: Yin Wei Li, Wen Ming Huang, Wen Zheng Cai
Abstract: In this paper, a new image segmentation approach is proposed based on the morphological watershed transform and an improved balloon snake algorithm for reducing the incorrect segmenting rate that caused by uneven dyeing of Cerebrospinal Fluid (CSF) cells. Firstly, a marker-controlled watershed pre-segmentation was applied to resolve the over-segmentation problem of the watershed and eliminate the approximate contour of CSF cells. Secondly, due to the weak boundary of some cytoplasm, we performed a coarse segmentation by using an improved balloon snake to dilate the watershed result. Finally, a fine segmentation was performed to obtain the ultimate cytoplasm contours. The results show that the new method is more accurate and robust to weak boundary.
Authors: Jung H. Goh, Alex Mason, Mark Field, Paul Browning, Ahmed Al-Shamma'a
Abstract: Lactate is known to be an indicator of neurological impairment during aortic aneurysm surgery. It is suggested that analysis of cerebrospinal fluid (CSF) removed during such surgery could provide useful information in this regard. Medical professionals find the prospect of online detection of such analytes exciting, as current practice is time consuming and leads to multiple invasive procedures. Advancing from the current laboratory based analysis techniques to online methods could provide the basis for improved treatment regimes, better quality of care, and enhanced resource efficiency within hospitals. Accordingly, this article considers the use of a low power microwave sensor to detect varying lactate concentrations. Microwave sensors provide a rapid non-invasive method of material analysis, which is robust, cost-effective, and has huge potential for a wide range of biomedical applications.
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