11 July 2016 Quantitative ultrasound venous valve movement: early diagnosis of deep vein thrombosis
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Proceedings Volume 10011, First International Workshop on Pattern Recognition; 100110L (2016) https://doi.org/10.1117/12.2242815
Event: First International Workshop on Pattern Recognition, 2016, Tokyo, Japan
Abstract
The purpose of this paper is to provide an in-depth analysis of computer aided system for the early diagnosis of Deep Vein Thrombosis (DVT). Normally, patients are diagnosed with DVT through ultrasound examination after they have a serious complication. Thus, this study proposes a new approach to reduce the risk of recurrent DVT by tracking the venous valve movement behaviour. Inspired by image processing technology, several image processing methods namely, image enhancement, segmentation and morphological have been implemented to improve the image quality for further tracking procedure. In segmentation, Otsu thresholding provides a significant result in segmenting valve structure. Subsequently, morphological dilation method is able to enhance the region shape of the valve distinctly and precisely. Lastly, image subtraction method is presented and evaluated to track the valve movement. Based on the experimental results the normal range of valve velocity lies within the range of blood flow velocity (Vb) and occasionally may result in higher values.
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Anis Azwani Muhd Suberi, Wan Nurshazwani Wan Zakaria, Razali Tomari, Nabilah Ibrahim, "Quantitative ultrasound venous valve movement: early diagnosis of deep vein thrombosis ", Proc. SPIE 10011, First International Workshop on Pattern Recognition, 100110L (11 July 2016); doi: 10.1117/12.2242815; https://doi.org/10.1117/12.2242815
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