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Speckle Detection in Echocardiographic Images
[chapter]
2012
Echocardiography - New Techniques
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to model both fully speckle (blood pool) and partially developed speckle (tissue area). ...
Another statistical model named K distribution have been proposed to model different kinds of tissue in ultrasound envelope imaging. ...
Each chapter is designed and written to be accessible to those with a basic knowledge of echocardiography. ...
doi:10.5772/31760
fatcat:exkygjrm2nblxim7mncgmn3ej4
Lumen Border Segmentation at Intravascular Ultrasound Images Using Fuzzy Compound Approach
2017
2017 Computing in Cardiology Conference (CinC)
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FCM and RHMF and at the same time using a boundary detection algorithm based on tissue leads to finding a more accurate initial guess about the boundaries, then in the second step using approximations ...
In this paper, the segmentation of lumen boundaries at intravascular ultrasound images using fuzzy approach is investigated. ...
Moreover, in (Taki A, 2008) an algorithms is presented with the purpose of extracting lumen boundaries and MA 1 simultaneously, which first employs time-invariant different filters and then speckle is ...
doi:10.22489/cinc.2017.288-285
dblp:conf/cinc/EslamizadehADSS17
fatcat:ez2pupdlejg45huanixgwnatfe
Ultrasound image segmentation: a survey
2006
IEEE Transactions on Medical Imaging
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This paper reviews ultrasound segmentation methods, in a broad sense, focusing on techniques developed for medical -mode ultrasound images. ...
Then, we present a classification of methodology in terms of use of prior information. ...
interest moves (in a nonrigid way) and speckle decorrelates over the sequence. ...
doi:10.1109/tmi.2006.877092
pmid:16894993
fatcat:wtt6igy2ozhjtbnsizi6qtosn4
Unsupervised segmentation of ultrasound images by fusion of spatio-frequential textural features
2011
Medical Imaging 2011: Image Processing
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Instead of considering a new elaborate (texture) segmentation model specifically adapted for the ultrasound images, our technique proposes to fuse (i.e. efficiently combine) several segmentation maps associated ...
with simpler segmentation models in order to get a final reliable and accurate segmentation result. ...
Many segmentation models, specifically adapted for ultrasound imaging systems, have already been proposed in the literature (see 1 for a good review of existing segmentation methods). ...
doi:10.1117/12.871172
dblp:conf/miip/BenameurML11
fatcat:3tibc7pdgbcrroumsezruuqziy
Deep Learning in Ultrasound Elastography Imaging
[article]
2020
arXiv
pre-print
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Ultrasound elastography is a technique to characterize tissue stiffness using ultrasound imaging either by measuring tissue strain using quasi-static elastography or natural organ pulsation elastography ...
In recent years, deep learning has begun to emerge in ultrasound elastography research. ...
multitask learning model. ...
arXiv:2010.07360v2
fatcat:ddax2defkfaz5jj6wpsplb4evq
Automatic alignment of standard views in 3D echocardiograms using real-time tracking
2009
Medical Imaging 2009: Ultrasonic Imaging and Signal Processing
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The ability of using non-iterative estimators, such as the Kalman filter, for fitting deformable models to image structures would radically reduce the computationally effort required for performing a 3D ...
Furthermore, theory for the simultaneous tracking of several models have been developed. ...
The authors want to thank Brage Amundsen (NTNU) for acquiring the in-vivo recordings, and Olivier Gérard (GE Vingmed Ultrasound) for conducting the reference volume measurements. ...
doi:10.1117/12.805380
fatcat:yyzsi6dvsrhclhmqjo5axjigqi
Deep Learning in Medical Ultrasound Image Analysis: A Review
2021
IEEE Access
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DEEP LEARNING MODELS AND ULTRASOUND DATASETS A. CONVOLUTIONAL NEURAL NETWORK CNN was first proposed by LeCun et al. ...
This paper presents a review of deep learning applications in medical US image analysis, covering deep learning models, data preprocessing methods, and deep learning tasks. ...
doi:10.1109/access.2021.3071301
fatcat:ofyybqcy4zfwfinnmc25ylzffe
Real-time target tracking of soft tissues in 3D ultrasound images based on robust visual information and mechanical simulation
2017
Medical Image Analysis
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In this paper, we present a real-time approach that allows tracking deformable structures in 3D ultrasound sequences. ...
Results demonstrate that this novel approach has the advantage of providing correct motion estimation regarding different ultrasound shortcomings including speckle noise, large shadows and ultrasound gain ...
Karamalis et al. (2012) presented a technique that provides a confidence measure per voxel based on the model of ultrasound wave propagation through the tissue. ...
doi:10.1016/j.media.2016.09.004
pmid:27689897
fatcat:n2rttjggmzbf7hgkheio2jwnve
Moments-Based Ultrasound Visual Servoing: From a Mono- to Multiplane Approach
2016
IEEE Transactions on robotics
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This paper presents a new image-based visual servoing approach to control a robotic system equipped with an ultrasound imaging device. ...
Our method was also validated from robotic experiments performed on an ultrasound phantom with the use of a motorized 3D probe that provides the three US images. ...
However, a region of fully developed speckle has to be segmented and a step of learning of the speckle decorrelation curves is required. ...
doi:10.1109/tro.2016.2604482
fatcat:wgqrliue5jesdo2v2fx2qcr2li
Multiframe denoising of high-speed optical coherence tomography data using interframe and intraframe priors
2015
Journal of Biomedical Optics
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Besides, a convex optimization algorithm based on the augmented Lagrangian method is derived to solve the above model. ...
However, the imaging quality of high-speed OCT is limited due to the large speckle noise. To address this problem, this paper proposes a multi-frame algorithmic method to denoise OCT volume. ...
[19] take image contents into consideration and propose a salient structure extraction algorithm combining an adaptive speckle suppression term, to enhance ultrasound images. ...
doi:10.1117/1.jbo.20.3.036006
pmid:25751163
fatcat:aik54sthung6ldxzr4ucidt6by
Signal and Image Processing in Biomedical Photoacoustic Imaging: A Review
2020
Optics
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However, due to the optical diffusion and ultrasound attenuation in heterogeneous turbid biological tissue, the quality of the PA images deteriorates. ...
PAI works on the principle of electromagnetic energy absorption by the exogenous contrast agents and/or endogenous molecules present in the biological tissue, consequently generating ultrasound waves. ...
One major disadvantage was the maximum achievable tissue deformation on one side limited by the tissue mechanical properties, and the minimum deformation required for artifact decorrelation on the other ...
doi:10.3390/opt2010001
fatcat:wk2npy5tmbbvfi6jbxbtbmzpny
Panorama Ultrasound for Navigation and Guidance of Epidural Anesthesia
2015
Ultrasound in Medicine and Biology
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An ultrasound guidance system is therefore proposed, using a transducer-mounted camera to create 3D panorama images of the spine relative to markings on the skin. ...
They introduced the research topic of creating panorama ultrasound images of the spine and registering the panoramas to the skin, using a camera mounted on the transducer, and provided ongoing feedback ...
A major source of error in speckle tracking are drift errors caused by tissue inconsistencies and speckle patterns that are not fully developed [36] . ...
doi:10.1016/j.ultrasmedbio.2015.03.012
pmid:25964065
fatcat:bwghqofkezdk3llt4utskt6gba
CAI4CAI: The Rise of Contextual Artificial Intelligence in Computer-Assisted Interventions
2019
Proceedings of the IEEE
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Taking stock of some of the most exciting developments in machine learning and artificial intelligence for computer assisted interventions, we highlight the crucial need to take context and human factors ...
While similar benefits are longed for in the field of interventional imaging, this ambition is challenged by a much higher heterogeneity. ...
in between consecutive 2-D ultrasound images with an accuracy far exceeding that of conventional speckle decorrelation techniques and matching that of the external tracker. ...
doi:10.1109/jproc.2019.2946993
pmid:31920208
pmcid:PMC6952279
fatcat:yz7c65y545bqfe2uy3a2j2j6ni
The Feasibility of Dynamic Musculoskeletal Function Analysis of the Vastus Lateralis in Endurance Runners Using Continuous, Hands-Free Ultrasound
2021
Applied Sciences
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Dynamic, hands-free ultrasound might enable research for a more profound insight in the prevention and rehabilitation of musculoskeletal injuries. ...
After every kilometer, the vastus lateralis muscle was imaged whilst running using a fixated probe connected to a smart phone. ...
Alternatively, deep learning models could be used for feature detection [8, 37] . Three-dimensional acquisitions could further improve the dynamic functional evaluation. ...
doi:10.3390/app11041534
fatcat:3tt5jhwodvb45i5ugwjfvpis5e
A design methodology for 2D sparse NDE arrays using an efficient implementation of refracted-ray TFM
2013
2013 IEEE International Ultrasonics Symposium (IUS)
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A second technology uses ultrasound to noninvasively control the microstructure of collagen within engineered tissues. ...
Investigations also demonstrate the capability of ultrasound to spatially pattern various collagen microstructures within engineered tissue noninvasively, via a thermal mechanism. ...
The speckle spectra for a dot embedded in a homogeneous speckle environment and an anechoic region were modeled with the following assumptions. 1. ...
doi:10.1109/ultsym.2013.0035
fatcat:th5znfh7y5bklfdbmhb4u6iq2i
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