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. Numerous research have been conducted on mitral valve, but only a few on the geometry or annular dynamics of the tricuspid valve. Accurateness in measuring and reconstructing 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 measuring and modelling tricuspid valve and as for experiment, 3DTEE image was used using level set technique discussed in this paper. Our findings will be focusing more on those techniques applied on 3D echocardiography images from different angels and positions.
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References
Tei, C., Pilgrim, J.P., Shah, P., Ormiston, J., Wong, M.: The tricuspid valve annulus: study of size and motion in normal subjects and in patients with tricuspid regurgitation. Circulation 66(3), 665–671 (1982)
Maslow, A.D., Schwartz, C., Singh, A.K.: Assessment of the tricuspid valve: a comparison of four transesophageal echocardiographic windows. J. Cardiothorac. Vasc. Anesth. 18(6), 719–724 (2004)
Fattouch, K., Castrovinci, S., Murana, G., Novo, G., Caccamo, G., Bertolino, E.C., Sampognaro, R., Novo, S., Ruvolo, G., Lancellotti, P.: Multiplane two-dimensional versus real time three-dimensional transesophageal echocardiography in ischemic mitral regurgitation. Echocardiography 28(10), 1125–1132 (2011)
Gabriel, V., Kamp, O., Visser, C.A.: Three-dimensional echocardiography in mitral valve disease. Eur. J. Echocardiogr. 6(6), 443–454 (2005)
Noack, T., Mukherjee, C., Kiefer, P., Emrich, F., Vollroth, M., Ionasec, R.I., Voigt, I., Houle, H., Ender, J., Misfeld, M.: Four-dimensional modelling of the mitral valve by real-time 3D transoesophageal echocardiography: proof of concept. Interact. CardioVasc. Thorac. Surg. 20(2), 200–208 (2015)
Qamruddin, S., Naqvi, T.Z.: Advances in 3D echocardiography for mitral valve, 2011
Muraru, D., Badano, L.P.: ‘Assessment of tricuspid valve morphology and function’: ‘Textbook of real-time three dimensional echocardiography’, pp. 173–182. Springer, Berlin (2011)
Osher, S., & Sethian, J. A.:Fronts propagating with curvature-dependent speed: algorithms based on Hamilton-Jacobi formulations. J. Comput. phys. 79(1), 12–49 (1988)
Shang, Y., Yang, X., Zhu, L., Deklerck, R., Nyssen, E.: Region competition based active contour for medical object extraction. Comput. Med. Imaging Gr. 32(2), 109–117 (2008)
Burlina, P., Sprouse, C., DeMenthon, D., Jorstad, A., Juang, R., Contijoch, F, Abraham, T., Yuh, D., McVeigh, E.: Patient-specific modeling and analysis of the mitral valve using 3D-TEE. In: Book Patient-Specific Modeling and Analysis of the Mitral Valve Using 3D-TEE’, pp. 135–146 (2010)
Sprouse, C., Yuh, D., Abraham, T., Burlina, P.: Computational hemodynamic modeling based on transesophageal echocardiographic imaging. In: Book computational hemodynamic modeling based on transesophageal echocardiographic imaging (2009)
Burlina, P., Mukherjee, R., Juang, R., Sprouse, C.: Recovering endocardial walls from 3D TEE. In: Book Recovering Endocardial Walls from 3D TEE’ (2011)
Wolz, R., Heckemann, R.A., Aljabar, P., Hajnal, J.V., Hammers, A., Lötjönen, J., Rueckert, D., and Initiative, A.s.D.N.: Measurement of hippocampal atrophy using 4D graph-cut segmentation: application to ADNI. NeuroImage, 52(1), 109–118 (2010)
Schneider, R.J., Burke, W.C., Marx, G.R., del Nido, P.J., Howe, R.D.: Modeling mitral valve leaflets from three-dimensional ultrasound. In: Book Modeling Mitral Valve Leaflets from Three-Dimensional Ultrasound (2011)
Linguraru, M.G., Pura, J.A., Chowdhury, A.S., Summers, R.M.: Multi organ segmentation from multi-phase abdominal CT via 4D graphs using enhancement, shape and location optimization. Lect. Notes Comput. Sci. 6363, 89–96 (2010)
Shi, W., Zhuang, X., Wolz, R., Simon, D., Tung, K., Wang, H., Ourselin, S., Edwards, P., Razavi, R., Rueckert, D.: A multi-image graph cut approach for cardiac image segmentation and uncertainty estimation. Lect. Notes Comput. Sci. 7085, 178–187 (2012)
Juang, R., McVeigh, E.R., Hoffmann, B., Yuh, D., Burlina, P.: Automatic segmentation of the left-ventricular cavity and atrium in 3D ultrasound using graph cuts and the radial symmetry transform. In: Book Automatic segmentation of the left-ventricular cavity and atrium in 3D ultrasound using graph cuts and the radial symmetry transform, pp. 606–609 (2011)
Mahmood, F., Kim, H., Chaudary, B., Bergman, R., Matyal, R., Gerstle, J., Gorman, J.H., Gorman, R.C., Khabbaz, K.R.: Tricuspid annular geometry: a three-dimensional transesophageal echocardiographic study. J. Cardiothorac. Vasc. Anesth. 27(4), 639–646 (2013)
Cheng, J., Foo, S.W., Krishnan, S.M.: Automatic detection of region of interest and center point of left ventricle using watershed segmentation. In: Book Automatic detection of region of interest and center point of left ventricle using watershed segmentation, pp. 149–151 (2005)
Amorim, J.C., dos Reis, M.D.C., de Carvalho, J.L.A., da Rocha, A.F., Camapum, J.F.: Improved segmentation of echocardiographic images using fusion of images from different cardiac cycles. In: Book Improved segmentation of echocardiographic images using fusion of images from different cardiac cycles, pp. 511–514 (2009)
Melo Jr, S.A., Macchiavello, B., Andrade, M.M., Carvalho, J.L., Carvalho, H.S., Vasconcelos, D.F., Berger, P.A., da Rocha, A.F., Nascimento, F.A.O.: Semi-automatic algorithm for construction of the left ventricular area variation curve over a complete cardiac cycle. BioMed. Eng. OnLine, 9, 1–17 (2010)
Fukuda, S., Saracino, G., Matsumura, Y., Daimon, M., Tran, H., Greenberg, N.L., Hozumi, T., Yoshikawa, J., Thomas, J.D., Shiota, T.: Three-dimensional geometry of the tricuspid annulus in healthy subjects and in patients with functional tricuspid regurgitation a real-time, 3-dimensional echocardiographic study. Circulation, 114(1 suppl), I-492–I-498 (2006)
Kwan, J., Kim, G.-C., Jeon, M.-J., Kim, D.-H., Shiota, T., Thomas, J.D., Park, K.-S., Lee, W.-H.: 3D geometry of a normal tricuspid annulus during systole: a comparison study with the mitral annulus using real-time 3D echocardiography (2007)
Ring, L., Rana, B.S., Kydd, A., Boyd, J., Parker, K., Rusk, R.A.: Dynamics of the tricuspid valve annulus in normal and dilated right hearts: a three-dimensional transoesophageal echocardiography study. Eur. Heart J.-Cardiovasc. Imaging, jes040 (2012)
Dwivedi, G., Mahadevan, G., Jimenez, D., Frenneaux, M., Steeds, R.P.: Reference values for mitral and tricuspid annular dimensions using two-dimensional echocardiography. Echo Res. Pract. 1(2), 43–50 (2014)
Miglioranza, M.H., Mihăilă, S., Muraru, D., Cucchini, U., Iliceto, S., Badano, L.P.: Dynamic changes in tricuspid annular diameter measurement in relation to the echocardiographic view and timing during the cardiac cycle. J. Am. Soc. Echocardiogr. 28(2), 226–235 (2015)
Nishi, H., Toda, K., Miyagawa, S., Yoshikawa, Y., Fukushima, S., Kawamura, M., Yoshioka, D., Saito, T., Ueno, T., Kuratani, T.: Tricuspid annular dynamics before and after tricuspid annuloplasty. Circulation J. 79, 873–879 (2015)
Nasir, N. R. M., Kadiman, S., Rahmat, R. W. O., Dimon, M. Z., & Sulaiman, P. S. (2014, December). 3 Dimensional Reconstruction of Tricuspid Valve Using Transesophagel Echocardiography Images. In Computer Assisted System in Health (CASH), International Conference on 90–95, IEEE (2014)
Naziffa Raha Md Nasir, Rahmita Wirza, P. Suhaiza Sulaiman, Suhaini Kadiman, M. Zamrin Dimon.:Image Segmentation Techniques Using Echocardiography Images, The 3rd International Conference on Computer Science and Computational Mathematics, ICCSCM2014, Langkawi, Malaysia (2014)
Aqeel Al-Surmi, Rahmita Wirza, Ramlan Mahmod, M. Zamrin Dimon.: A new human heart vessel identification, segmentation and 3D reconstruction mechanism. J. cardiothor. surg. 9(1):161 (2014)
Aqeel Al-Surmi, Rahmita Wirza, M. Zamrin Dimon, Ramlan Mahmod, Fatima Khalid.: Three dimensional reconstruction of human heart surface from single image-view under different illumination conditions. Am. J. Appl. Sci. 10(7):669 (2013)
Moosavi Tayebi, R., Suhaiza Binti Sulaiman, P., Wirza, R., Zamrin Dimon, M., Kadiman, S., Khalid, F., and Mazaheri, S.: A fast and accurate method for automatic coronary arterial tree extraction in angiograms. J. Comput. Sc. 10(10):2060–2076 (2014)
Mazaheri S., Sulaiman P., Wirza R., Dimon Z., Khalid F., and Moosavi Tayebi R., “Hybrid Pixel-based Method for Cardiac Ultrasound Fusion Based on Integration of PCA and DWT”, in Computational and Mathematical Methods in Medicine Journal, (MMMI14) (2014)
Moosavi Tayebi, R., Wirza, R., Suhaiza Binti Sulaiman, P., Zamrin Dimon, M., Khalid, F., and Mazaheri, S.:Using Wavelet for X-ray Angiography Enhancement, in Proceeding of International Conference on Agricultural, Ecological and Medical Sciences (AEMS) (2015)
Rahmita Wirza, Aqeel Al-Surmi, Ramlan Mahmod, Fatima Khalid, M. Zamrin Dimon; Single Image Reconstruction of Human Heart Surface with Specular Reflection Remover; Advanced Computer Science Applications and Technologies (ACSAT) (2012)
Moosavi Tayebi, R., Wirza, R., Suhaiza Binti Sulaiman, P., Zamrin Dimon, M., Khalid, F., Al-Surmi, A., and Mazaheri, S.:3D Multimodal Cardiac Data Reconstruction using Angiography and Computerized Tomographic Angiography Registration, published in J. cardiothor. surg. (2015)
Moosavi Tayebi, R., Wirza, R., Suhaiza Binti Sulaiman, P., Zamrin Dimon, M., Khalid, F., Al-Surmi, A., and Mazaheri, S.: Cardiac Components Categorization and Coronary Artery Enhancement in CT Angiography, in Scopus Proceeding of International Conference on Computer Assisted System in Health (CASH) (2014)
Mazaheri s., Suhaiza P., Wirza R. and Moosavi Tayebi R.:Echocardiography Image Segmentation: A Survey, 2nd International Conference on Advanced Computer Science Applications and Technologies–ACSAT2013, Sarawak, Malaysia (2013)
Moosavi Tayebi, R., Suhaiza Binti Sulaiman, P., Wirza, R., Zamrin Dimon, M., Kadiman, S., Nurliyana Binti Abdullah, L., and Mazaheri, S.: Coronary artery segmentation in angiograms with pattern recognition techniques–A survey, in IEEE Proceeding of International Conference on Advanced Computer Science Applications and Technologies, 321–326 (2013)
Mazaheri s., Suhaiza P., Wirza R. and Moosavi Tayebi R.: A Review of Ultrasound and Computed Tomography Registration Approaches, The International Conference on Computer Assisted System in Health, CASH2014, Putrajaya, Malaysia (2014)
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Nasir, N.R.M., Rahmat, R.W.O.K., Sulaiman, P.S., Kadiman, S., Dimon, M.Z. (2016). Tricuspid Valve Extraction in Transesophageal Echocardiography. In: Sulaiman, H., Othman, M., Othman, M., Rahim, Y., Pee, N. (eds) Advanced Computer and Communication Engineering Technology. Lecture Notes in Electrical Engineering, vol 362. Springer, Cham. https://doi.org/10.1007/978-3-319-24584-3_101
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