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Speckle Detection in Echocardiographic Images [chapter]

Arezou Akbarian, Hasan Rivaz, Emad M.
2012 Echocardiography - New Techniques  
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

Mehdi Eslamizadeh, Gholamreza Attarodi, Nader Jafarnia Dabanloo, Javid Farhadi Sedehi, Seyed Kamaledin Setarehdan
2017 2017 Computing in Cardiology Conference (CinC)  
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

J.A. Noble, D. Boukerroui
2006 IEEE Transactions on Medical Imaging  
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

S. Benameur, M. Mignotte, F. Lavoie, Benoit M. Dawant, David R. Haynor
2011 Medical Imaging 2011: Image Processing  
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]

Hongliang Li, Manish Bhatt, Zhen Qu, Shiming Zhang, Martin C. Hartel, Ali Khademhosseini, Guy Cloutier
2020 arXiv   pre-print
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

Fredrik Orderud, Hans Torp, Stein Inge Rabben, Stephen A. McAleavey, Jan D'hooge
2009 Medical Imaging 2009: Ultrasonic Imaging and Signal Processing  
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

Yu Wang, Xinke Ge, He Ma, Shouliang Qi, Guanjing Zhang, Yudong Yao
2021 IEEE Access  
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

Lucas Royer, Alexandre Krupa, Guillaume Dardenne, Anthony Le Bras, Eric Marchand, Maud Marchal
2017 Medical Image Analysis  
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/ pmid:27689897 fatcat:n2rttjggmzbf7hgkheio2jwnve

Moments-Based Ultrasound Visual Servoing: From a Mono- to Multiplane Approach

Caroline Nadeau, Alexandre Krupa, Jan Petr, Christian Barillot
2016 IEEE Transactions on robotics  
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

Liheng Bian, Jinli Suo, Feng Chen, Qionghai Dai
2015 Journal of Biomedical Optics  
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

Rayyan Manwar, Mohsin Zafar, Qiuyun Xu
2020 Optics  
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

Hedyeh Rafii-Tari, Victoria A. Lessoway, Allaudin A. Kamani, Purang Abolmaesumi, Robert Rohling
2015 Ultrasound in Medicine and Biology  
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

Tom Vercauteren, Mathias Unberath, Nicolas Padoy, Nassir Navab
2019 Proceedings of the IEEE  
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

Marloes Sjoerdsma, Cristina Caresio, Benjamin Tchang, Amber Meeder, Frans van de Vosse, Richard Lopata
2021 Applied Sciences  
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

Jerzy Dziewierz, Timothy Lardner, Anthony Gachagan
2013 2013 IEEE International Ultrasonics Symposium (IUS)  
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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