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Cylindrical Echocardiographic Image Segmentation Based on 3D Deformable Models [chapter]

J. Montagnat, H. Delingette, G. Malandain
1999 Lecture Notes in Computer Science  
This paper presents a 3D echocardiographic image segmentation procedure based on deformable surfaces.  ...  We rst propose to adapt ltering techniques to the cylindrical geometry of several 3D ultrasound image devices.  ...  images used in this paper.  ... 
doi:10.1007/10704282_18 fatcat:x4o3dq7a3jdrlag2jdlkk5ikfq

Anisotropic filtering for model-based segmentation of 4D cylindrical echocardiographic images

J Montagnat, M Sermesant, H Delingette, G Malandain, N Ayache
2003 Pattern Recognition Letters  
This paper presents a 4D (3D þ time) echocardiographic image anisotropic filtering and a 3D model-based segmentation system.  ...  Second, we adapt the usual gradient filter estimation to the cylindrical geometry of the 3D ultrasound images.  ...  Lethor, CHU Brabois. for providing the 3D ultrasound images used in this paper.  ... 
doi:10.1016/s0167-8655(02)00184-8 fatcat:qsu7h5qcmbasjhxqhikluwymum

Variational segmentation framework in prolate spheroidal coordinates for 3D real-time echocardiography

Bruno Vallet, Elsa D. Angelini, Andrew F. Laine, Joseph M. Reinhardt, Josien P. W. Pluim
2006 Medical Imaging 2006: Image Processing  
This paper presents a new formulation of a deformable model segmentation in prolate spheroidal coordinates for segmentation of 3D cardiac echocardiography data.  ...  A simple data energy term, based on gray-level information, guides the segmentation.  ...  INTRODUCTION We are interested in the class of segmentation methods based on deformable models. Physically-based deformable models, referred to as snake, are based on elasticity theory.  ... 
doi:10.1117/12.653692 dblp:conf/miip/ValletAL06 fatcat:n7b2ohgrozcezpl2kjg232fdlq

Segmentation Methods of Echocardiography Images for Left Ventricle Boundary Detection

Samaneh Mazaheri, Puteri Suhaiza Binti Sulaiman, Rahmita Wirza, Mohd Zamrin Dimon, Fatima Khalid, Rohollah Moosavi Tayebi
2015 Journal of Computer Science  
This paper surveys stateof-the-art researches on echocardiography data segmentation methods, concentrating on methods techniques developed for clinical data.  ...  We present a classification of methodologies for echocardiography image segmentation.  ...  Montagnat et al. (2003) extended a 3D+T model based segmentation method for rotational 3D echocardiographic data.  ... 
doi:10.3844/jcssp.2015.957.970 fatcat:hivb6v4ydvdxbfp5rhd4wuljo4

Automating 3D Echocardiographic Image Analysis [chapter]

Gerardo I. Sanchez-Ortiz, Jérôme Declerck, Miguel Mulet-Parada, J. Alison Noble
2000 Lecture Notes in Computer Science  
In this article we present a fully-automated 3D echocardiographic image processing protocol for assessment of left ventricular (LV) function.  ...  We exhibit and compare qualitative and quantitative results on three 3D image sequences that have been processed manually, in semi-automatic manner, and in fully automated fashion.  ...  Image Acquisition Digital 3D echocardiographic data was acquired on a HP SONOS 5500 ultrasound machine using a 3-5MHz rotating transducer, and stored as a sequence of 2D echograms (2D+T image), one for  ... 
doi:10.1007/978-3-540-40899-4_71 fatcat:uwgf5blqh5gydepoimv6omgjom

Combinative multi-scale level set framework for echocardiographic image segmentation

Ning Lin, Weichuan Yu, James S. Duncan
2003 Medical Image Analysis  
In the automatic segmentation of echocardiographic images, a priori shape knowledge has been used to compensate for poor features in ultrasound images.  ...  In this paper, we present a multi-scale level set framework for segmentation of endocardial boundaries at each frame in a multiframe echocardiographic image sequence.  ...  Different filtering methods and statistic models deformation, from echocardiographic images directly.  ... 
doi:10.1016/s1361-8415(03)00035-5 pmid:14561556 fatcat:n5ez2odvwnhj7lrwgkushkn3ly

Regional Heterogeneity in 3D Myocardial Shortening in Hypertensive Left Ventricular Hypertrophy: A Cardiovascular CMR Tagging Substudy to the Life Study

Robert W. W. Biederman, Alistair A. Young, Mark Doyle, Richard B. Devereux, Eduardo Kortright, Gilbert Perry, Jonathan N. Bella, Suzanne Oparil, David Calhoun, Gerald M. Pohost, Louis J. Dell'Italia
2015 Journal of Biomedical Science and Engineering  
Biederman et al. 214 0.001) and MR (16.8 ± 3.6 versus 21.6% ± 3.0%, P < 0.005). 3D MR MWCS was lower at the base versus apex (P = 0.002) in LVH and greater in lateral and anterior regions versus septal  ...  Neither echocardiographic fractional shortening (32 ± 6 versus 33% ± 3%), LVEF (63% versus 64%) or mean end-systolic stress (175 ± 27 versus 146 ± 28 g/cm 2 ) were significantly different, yet global MWCS  ...  Accordingly, we compared regional 3D LV deformation patterns from MR tagged images, as well as echocardiographic fractional and midwall shortening, in hypertensive patients with electrocardiographic (ECG  ... 
doi:10.4236/jbise.2015.83021 pmid:27011783 pmcid:PMC4800488 fatcat:cittoac25nfutfxswhslku2irq

Finite-element-method (FEM) model generation of time-resolved 3D echocardiographic geometry data for mitral-valve volumetry

Janko F Verhey, Nadia S Nathan, Otto Rienhoff, Ron Kikinis, Fabian Rakebrandt, Michael N D'Ambra
2006 BioMedical Engineering OnLine  
of clinical 3D echocardiographic data.  ...  ROI selection permitted the visualization and calculations required to create a sequence of volume rendered models of the MV allowing time-based visualization of regional deformation.  ...  Until now, biomechanical cardiac FEM models have been based on a simplified ellipsoidal and cylindrical geometries [25] or asymmetric modelling [2] .  ... 
doi:10.1186/1475-925x-5-17 pmid:16512925 pmcid:PMC1421418 fatcat:qxmfcjfan5c4xme6z347w2ll7y

Automatic measurement of aortic annulus diameter in 3-dimensional Transoesophageal echocardiography

Jørn Bersvendsen, Jan O Beitnes, Stig Urheim, Svend Aakhus, Eigil Samset
2014 BMC Medical Imaging  
Methods: In this paper, we describe a fully automatic segmentation method to measure the aortic annulus diameter in patients with aortic calcification, operating on 3-dimensional transesophageal echocardiographic  ...  images.  ...  We propose a two-stage approach by performing segmentation based on a stiff and deformable surface sequentially.  ... 
doi:10.1186/1471-2342-14-31 pmid:25200865 pmcid:PMC4274687 fatcat:dxkirkrcuvfc3igom32undrvpa

Robust spatio-temporal registration of 4D cardiac ultrasound sequences

Jørn Bersvendsen, Matthew Toews, Adriyana Danudibroto, William M. Wells, Stig Urheim, Raúl San José Estépar, Eigil Samset, Neb Duric, Brecht Heyde
2016 Medical Imaging 2016: Ultrasonic Imaging and Tomography  
The biventricular segmentation method presented in paper III operates on a fused image created by manual registration of two separate real-time 3D echocardiographic images.  ...  Firstly, the method has been previously demonstrated to give accurate segmentations of 3D echocardiographic images.  ...  Cross-Correlation (NCC) [7] , and similarity measures based on local orientation and phase [8] .  ... 
doi:10.1117/12.2217005 pmid:27516706 pmcid:PMC4976768 fatcat:bg656wug4fan3oact6wtgydqee

A review of vessel extraction techniques and algorithms

Cemil Kirbas, Francis Quek
2004 ACM Computing Surveys  
Segmentation methods vary depending on the imaging modality, application domain, method being automatic or semi-automatic, and other specific factors.  ...  We have divided vessel segmentation algorithms and techniques into six main categories: (1) pattern recognition techniques, (2) model-based approaches, (3) tracking-based approaches, (4) artificial intelligence-based  ...  Xu et al. [2000] published a book chapter on medical image segmentation using deformable models and another book chapter on current methods in medical image segmentation ] which includes a section on  ... 
doi:10.1145/1031120.1031121 fatcat:7zms3avnjrfd7plwcitqx3cdiq

Midwall Shortening After Coarctation Repair: The Effect of Through-plane Motion on Single-plane Indices of Left Ventricular Function

2005 Journal of the American Society of Echocardiography  
Ejection fraction, midwall fractional shortening, and myocardial deformation were calculated or measured from magnetic resonance (MR) imaging.  ...  This study aimed to examine the variance between fiber shortening derived from 3-dimensional models of myocardial deformation, and 1and 2-dimensional indices of left ventricular systolic function.  ...  As short-axis area is generalized to the entire length of the cylindric model, regional mass and shortening are assumed to be homogenous and the myocardium imaged in systole is assumed to be representative  ... 
doi:10.1016/j.echo.2005.05.004 pmid:16275520 fatcat:i7ezelsqireodgzdize5kecbiq

Feasibility of rapid and automated importation of 3D echocardiographic left ventricular (LV) geometry into a finite element (FEM) analysis model

Janko F Verhey, Nadia S Nathan
2004 BioMedical Engineering OnLine  
In this prospective study TomTec LV Analysis TEE Software was used for semi-automatic endocardial border detection, reconstruction, and volume-rendering of the clinical 3D echocardiographic data.  ...  This study demonstrates that a fully automated importation of 3D TEE data into FEM modeling is feasible and can be efficiently accomplished in the operating room.  ...  Until now, biomechanical cardiac FEM models have been based on simplified ellipsoidal and cylindrical geometries [18] .  ... 
doi:10.1186/1475-925x-3-32 pmid:15473901 pmcid:PMC524498 fatcat:z5q2wj44yvbunjvjg2sslc4o5y

Spatio-Temporal Segmentation in 3D Echocardiographic Sequences using Fractional Brownian Motion

Omar S. Al-Kadi
2019 IEEE Transactions on Biomedical Engineering  
The method is benchmarked using synthetic 3D+time echocardiographic sequences for normal and different ischemic cardiomyopathy, and results compared with state-of-the-art LV segmentation.  ...  The fBm-based segmentation algorithm is fully automatic and has the potential to be used clinically together with 3D echocardiography for improved cardiovascular disease diagnosis.  ...  Thus, cardiologists usually examine videos of the deformation of the LV wall during the echocardiographic examination.  ... 
doi:10.1109/tbme.2019.2958701 pmid:31831403 fatcat:tl7lvhcjvzdghcucn7e362zhyq

Artificial Intelligence in Echocardiography: The Time is Now

Amro Sehly, Biyanka Jaltotage, Albert He, Andrew Maiorana, Abdul Rahman Ihdayhid, Adil Rajwani, Girish Dwivedi
2022 Reviews in cardiovascular medicine  
As such, AI has firmly made its stamp on echocardiography, showing great promise in training, image acquisition, interpretation and analysis, diagnostics, prognostication and phenotype development.  ...  [45] used ML to develop a novel method for assessing mitral regurgitation, based on image processing techniques and micro-patterns of 2D echocardiographic images.  ...  Through these techniques, ML models are able to provide predictions based on unseen data [15] .  ... 
doi:10.31083/j.rcm2308256 fatcat:nets2enohnctvg3x3swgwwooum
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