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Cylindrical Echocardiographic Image Segmentation Based on 3D Deformable Models
[chapter]
1999
Lecture Notes in Computer Science
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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
2003
Pattern Recognition Letters
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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
2006
Medical Imaging 2006: Image Processing
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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
2015
Journal of Computer Science
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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]
2000
Lecture Notes in Computer Science
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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
2003
Medical Image Analysis
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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
2015
Journal of Biomedical Science and Engineering
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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
2006
BioMedical Engineering OnLine
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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
2014
BMC Medical Imaging
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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
2016
Medical Imaging 2016: Ultrasonic Imaging and Tomography
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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
2004
ACM Computing Surveys
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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
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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
2004
BioMedical Engineering OnLine
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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
2019
IEEE Transactions on Biomedical Engineering
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2019 pre-print arXiv:1912.10220v1 fatcat:vkwwclcvkferdfbbjpgjahaetu
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
2022
Reviews in cardiovascular medicine
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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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