Tricuspid Valve Extraction in Transesophageal Echocardiography

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.

[1]  Otto Kamp,et al.  Three-dimensional echocardiography in mitral valve disease. , 2005, European journal of echocardiography : the journal of the Working Group on Echocardiography of the European Society of Cardiology.

[2]  Fatimah Khalid,et al.  Cardiac Components Categorization and Coronary Artery Enhancement in CT Angiography , 2014, 2014 International Conference on Computer Assisted System in Health.

[3]  Koichi Toda,et al.  Tricuspid annular dynamics before and after tricuspid annuloplasty- three-dimensional transesophageal echocardiography. , 2015, Circulation journal : official journal of the Japanese Circulation Society.

[4]  Fatimah Khalid,et al.  Hybrid Pixel-Based Method for Cardiac Ultrasound Fusion Based on Integration of PCA and DWT , 2015, Comput. Math. Methods Medicine.

[5]  Joao L. A. Carvalho,et al.  Semi-automatic algorithm for construction of the left ventricular area variation curve over a complete cardiac cycle , 2010, Biomedical engineering online.

[6]  Ramlan Mahmod,et al.  A new human heart vessel identification, segmentation and 3D reconstruction mechanism , 2014, Journal of Cardiothoracic Surgery.

[7]  Aqeel A. Al-Surmi,et al.  3D multimodal cardiac data reconstruction using angiography and computerized tomographic angiography registration , 2015, Journal of Cardiothoracic Surgery.

[8]  C. Tei,et al.  The Tricuspid Valve Annulus: Study of Size and Motion in Normal Subjects and in Patients with Tricuspid Regurgitation , 1982, Circulation.

[9]  Shankar M. Krishnan,et al.  Automatic detection of region of interest and center point of left ventricle using watershed segmentation , 2005, 2005 IEEE International Symposium on Circuits and Systems.

[10]  Patrizio Lancellotti,et al.  Multiplane Two‐Dimensional versus Real Time Three‐Dimensional Transesophageal Echocardiography in Ischemic Mitral Regurgitation , 2011, Echocardiography.

[11]  Fatimah Khalid,et al.  A Review of Ultrasound and Computed Tomography Registration Approaches , 2014, 2014 International Conference on Computer Assisted System in Health.

[12]  Ramlan Mahmod,et al.  THREE DIMENSIONAL RECONSTRUCTION OF HUMAN HEART SURFACE FROM SINGLE IMAGE- VIEW UNDER DIFFERENT ILLUMINATION CONDITIONS , 2013 .

[13]  Daniel DeMenthon,et al.  Patient-Specific Modeling and Analysis of the Mitral Valve Using 3D-TEE , 2010, IPCAI.

[14]  Radford Juang,et al.  Automatic segmentation of the left-ventricular cavity and atrium in 3D ultrasound using graph cuts and the radial symmetry transform , 2011, 2011 IEEE International Symposium on Biomedical Imaging: From Nano to Macro.

[15]  Juliana Fernandes Camapum,et al.  Improved segmentation of echocardiographic images using fusion of images from different cardiac cycles , 2009, 2009 Annual International Conference of the IEEE Engineering in Medicine and Biology Society.

[16]  Rahmita Wirza,et al.  Coronary Artery Segmentation in Angiograms with Pattern Recognition Techniques -- A Survey , 2013, 2013 International Conference on Advanced Computer Science Applications and Technologies.

[17]  Fatimah Khalid,et al.  Echocardiography Image Segmentation: A Survey , 2013, 2013 International Conference on Advanced Computer Science Applications and Technologies.

[18]  Giuseppe Saracino,et al.  Three-Dimensional Geometry of the Tricuspid Annulus in Healthy Subjects and in Patients With Functional Tricuspid Regurgitation: A Real-Time, 3-Dimensional Echocardiographic Study , 2006, Circulation.

[19]  Razvan Ioan Ionasec,et al.  Four-dimensional modelling of the mitral valve by real-time 3D transoesophageal echocardiography: proof of concept. , 2015, Interactive cardiovascular and thoracic surgery.

[20]  Sébastien Ourselin,et al.  A Multi-image Graph Cut Approach for Cardiac Image Segmentation and Uncertainty Estimation , 2011, STACOM.

[21]  Girish Dwivedi,et al.  Reference values for mitral and tricuspid annular dimensions using two-dimensional echocardiography , 2014, Echo research and practice.

[22]  A. Maslow,et al.  Assessment of the tricuspid valve: a comparison of four transesophageal echocardiographic windows. , 2004, Journal of cardiothoracic and vascular anesthesia.

[23]  T. Naqvi,et al.  Advances in 3D echocardiography for mitral valve , 2011, Expert review of cardiovascular therapy.

[24]  Denisa Muraru,et al.  Dynamic changes in tricuspid annular diameter measurement in relation to the echocardiographic view and timing during the cardiac cycle. , 2015, Journal of the American Society of Echocardiography : official publication of the American Society of Echocardiography.

[25]  R. Wirza,et al.  Single Image Reconstruction of Human Heart Surface with Specular Reflection Remover , 2012, 2012 International Conference on Advanced Computer Science Applications and Technologies (ACSAT).

[26]  Fatimah Khalid,et al.  A Fast and accurate method for Automatic coronary arterial Tree Extraction in angiograms , 2014, J. Comput. Sci..

[27]  Denisa Muraru,et al.  Assessment of Tricuspid Valve Morphology and Function , 2010 .

[28]  J. Sethian,et al.  Fronts propagating with curvature-dependent speed: algorithms based on Hamilton-Jacobi formulations , 1988 .

[29]  Karen Parker,et al.  Dynamics of the tricuspid valve annulus in normal and dilated right hearts: a three-dimensional transoesophageal echocardiography study. , 2012, European heart journal cardiovascular Imaging.

[30]  Woo-Hyung Lee,et al.  3D geometry of a normal tricuspid annulus during systole: a comparison study with the mitral annulus using real-time 3D echocardiography. , 2007, European journal of echocardiography : the journal of the Working Group on Echocardiography of the European Society of Cardiology.

[31]  Robert C Gorman,et al.  Tricuspid annular geometry: a three-dimensional transesophageal echocardiographic study. , 2013, Journal of cardiothoracic and vascular anesthesia.

[32]  Radford Juang,et al.  Recovering Endocardial Walls from 3D TEE , 2011, FIMH.

[33]  Robert D. Howe,et al.  Modeling Mitral Valve Leaflets from Three-Dimensional Ultrasound , 2011, FIMH.

[34]  Jyrki Lötjönen,et al.  Measurement of hippocampal atrophy using 4D graph-cut segmentation: Application to ADNI , 2010, NeuroImage.

[35]  Rahmita Wirza O. K. Rahmat,et al.  3 Dimensional Reconstruction of Tricuspid Valve Using Transesophagel Echocardiography Images , 2014, 2014 International Conference on Computer Assisted System in Health.

[36]  Ronald M. Summers,et al.  Multi-organ Segmentation from Multi-phase Abdominal CT via 4D Graphs Using Enhancement, Shape and Location Optimization , 2010, MICCAI.

[37]  Xin Yang,et al.  Region competition based active contour for medical object extraction , 2008, Comput. Medical Imaging Graph..

[38]  P. Burlina,et al.  Computational hemodynamic modeling based on transesophageal echocardiographic imaging , 2009, 2009 Annual International Conference of the IEEE Engineering in Medicine and Biology Society.