Abstract
In the past decades, echocardiography has appeared as an important modality in medical field to assess heart’s function and structures as well as for diagnosis and evaluation. Many image processing researches are done to enhance the imaging aspect and produce better quality of image. Accurateness in measuring tricuspid valve is an important issue, not only for surgical decision-making process but also in deciding the suitable surgical technique on patient such as valve implication or ring placement. In this paper, we will discuss on techniques that have been applied recently in detection of tricuspid valve’s leaflets and as for experiment, three dimensional transesophageal echocardiography images were used using pixel tracking technique and thin tissue detector. Our findings will be focusing more on those techniques applied on 3D echocardiography images from different angels and positions.
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References
Borges, N.E., Lange, R.A.: Tricuspid Valve Anatomy (2016). Cited 10 Aug 2016
American Heart Association: Transesophageal Echocardiography (TEE) (2015). Cited 10 Aug 2016
Zhi, D., Yu-Ning, D.: An Algorithm for 3D Image Segmentation. IEEE (2007)
El-Baz, A.S., et al.: Multi Modality State-of-the-Art Medical Image Segmentation and Registration Methodologies, vol. 1. Springer Science & Business Media, Heidelberg (2011). https://doi.org/10.1007/978-1-4419-8195-0
Nasir, N.R.M., et al.: 3 Dimensional reconstruction of tricuspid valve using transesophagel echocardiography images. IEEE (2014)
Nasir, N.R.M., et al.: Tricuspid valve extraction in transesophageal echocardiography. In: Advanced Computer and Communication Engineering Technology, pp. 1187–1197. Springer, Heidelberg (2016)
Burlina, P., et al.: Patient-specific modeling and analysis of the mitral valve using 3D-TEE. Springer, Heidelberg (2010)
Schneider, R.J., et al.: Modeling mitral valve leaflets from three-dimensional ultrasound. Springer, Heidelberg (2011)
Schneider, R.J., et al.: Mitral annulus segmentation from 3D ultrasound using graph cuts. IEEE Trans. Med. Imaging 29(9), 1676–1687 (2010)
Schneider, R.J., et al.: Mitral annulus segmentation from four-dimensional ultrasound using a valve state predictor and constrained optical flow. Med. Image Anal. 16(2), 497–504 (2012)
Schneider, R.J., et al.: Patient-specific mitral leaflet segmentation from 4D ultrasound. Springer, Heidelberg (2011)
Zhou, X., Yang, C., Yu, W.: Automatic mitral leaflet tracking in echocardiography by outlier detection in the low-rank representation. IEEE (2012)
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Nasir, N.R.M., Rahmat, R.W.O.K., Sulaiman, P.S., Kadiman, S., Dimon, M.Z. (2019). Identification of Leaflet Using Pixel Tracker Technique in Echocardiogram. In: Othman, M., Abd Aziz, M., Md Saat, M., Misran, M. (eds) Proceedings of the 3rd International Symposium of Information and Internet Technology (SYMINTECH 2018). SYMINTECH 2018. Lecture Notes in Electrical Engineering, vol 565. Springer, Cham. https://doi.org/10.1007/978-3-030-20717-5_11
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DOI: https://doi.org/10.1007/978-3-030-20717-5_11
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