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Proceedings Paper

Quantitative ultrasound venous valve movement: early diagnosis of deep vein thrombosis
Author(s): Anis Azwani Muhd Suberi; Wan Nurshazwani Wan Zakaria; Razali Tomari; Nabilah Ibrahim
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Paper 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.

Paper Details

Date Published: 11 July 2016
PDF: 5 pages
Proc. SPIE 10011, First International Workshop on Pattern Recognition, 100110L (11 July 2016); doi: 10.1117/12.2242815
Show Author Affiliations
Anis Azwani Muhd Suberi, Univ. Tun Hussein Onn Malaysia (Malaysia)
Wan Nurshazwani Wan Zakaria, Univ. Tun Hussein Onn Malaysia (Malaysia)
Razali Tomari, Univ. Tun Hussein Onn Malaysia (Malaysia)
Nabilah Ibrahim, Univ. Tun Hussein Onn Malaysia (Malaysia)


Published in SPIE Proceedings Vol. 10011:
First International Workshop on Pattern Recognition
Xudong Jiang; Guojian Chen; Genci Capi; Chiharu Ishll, Editor(s)

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