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Interactive visual analysis of contrast-enhanced ultrasound data based on small neighborhood statistics

Paolo Angelelli, Kim Nylund, Odd Helge Gilja, Helwig Hauser
2011 Computers & graphics  
For the visual analysis of this challenging data, with characteristic noise patterns and residual movements, we propose a robust method to derive expressive enhancement measures from small spatio-temporal  ...  To make the visual exploration interactive, we have developed an accelerated framework based on the OpenCL library, that exploits modern many-cores hardware.  ...  Acknowledgements This work has been carried out within the IllustraSound research project (# 193170), which is funded by the VERDIKT program of the Norwegian Research Council, with support of the MedViz  ... 
doi:10.1016/j.cag.2010.12.005 fatcat:ei5hamydjbcplekpfr3vhcs3ha

Clinical Study of Virtual Reality Augmented Technology Combined with Contrast-Enhanced Ultrasound in the Assessment of Thyroid Cancer

Qinghua Liu, Jian Cheng, Jingjing Li, Lei Liu, Hongbo Li, Zhihan Lv
2021 Journal of Healthcare Engineering  
Based on this, this article proposes a clinical study of virtual reality technology combined with contrast-enhanced ultrasound in the assessment of thyroid cancer.  ...  , the application status of ultrasound contrast technology, and so on.  ...  Clinical Research Analysis of Virtual Reality Augmented Technology Combined with Contrast-Enhanced Ultrasound in the Assessment of Thyroid Cancer Comparison of Contrast-Enhanced Ultrasound Signs.  ... 
doi:10.1155/2021/8042755 pmid:34394897 pmcid:PMC8363438 fatcat:dwbtjl33vffslcweifp352ilei

Optimization of Ultrasound Information Imaging Algorithm in Cardiovascular Disease Based on Image Enhancement

Yongfu Shao, Jue Wu, Hongping Ou, Min Pei, Li Liu, Ali Akbar Movassagh, Ashutosh Sharma, Gaurav Dhiman, Mehdi Gheisari, Alia Asheralieva, Essam Houssein
2021 Mathematical Problems in Engineering  
The paper confirms that the ultrasound imaging algorithm based on spatial-frequency-domain image enhancement is worthy of application in clinical ultrasound image processing.  ...  Aiming at the problem that image edges are difficult to determine due to artefacts, plaques, and vascular branches in cardiovascular ultrasound, an edge ultrasound imaging detection algorithm based on  ...  Acknowledgments is work was supported in part by the National Natural Science Foundation of China under project 61950410603. is work was financially supported by the Government of the Russian Federation  ... 
doi:10.1155/2021/5580630 fatcat:kjpyeb4ahze4hmb2nsd5cbzkuy

An automatic 2D CAD algorithm for the segmentation of the IMT in ultrasound carotid artery images

D.E. Ilea, P.F. Whelan, C. Brown, A. Stanton
2009 2009 Annual International Conference of the IEEE Engineering in Medicine and Biology Society  
The proposed image segmentation scheme is based on a spatially continuous vascular model and consists of several steps including data preprocessing, edge filtering, model selection, edge reconstruction  ...  The developed technique relies on a suite of image processing algorithms that embeds a statistical model to identify the two interfaces that form the IMT without any user intervention.  ...  Global Contrast Enhancement The low contrast between the anatomical structures is one of the main drawbacks associated with the ultrasound imaging modality.  ... 
doi:10.1109/iembs.2009.5333773 pmid:19964223 fatcat:qgpvkpsyabe75otd72vf6golxq

Large-Scale Propagation of Ultrasound in a 3-D Breast Model Based on High-Resolution MRI Data

Gheorghe Salahura, Jason C Tillett, Leon A Metlay, Robert C Waag
2010 IEEE Transactions on Biomedical Engineering  
Initial processing to prepare the data for segmentation consisted of contrast inversion, interpolation, and noise reduction.  ...  After smoothing the data to avoid aliasing artifacts, the segmented data volume was visualized using iso-surfaces.  ...  This work was supported by the National Institutes of Health under Grant EB000280 and the University of Rochester Diagnostic Ultrasound Research Laboratory Industrial Associates.  ... 
doi:10.1109/tbme.2009.2040022 pmid:20172794 pmcid:PMC2910847 fatcat:thvucjca7fa5bixxs2p3tzx6me

Microvascular Ultrasonic Imaging of Angiogenesis Identifies Tumors in a Murine Spontaneous Breast Cancer Model

Sarah E. Shelton, Jodi Stone, Fei Gao, Donglin Zeng, Paul A. Dayton
2020 International Journal of Biomedical Imaging  
Acoustic angiography, an ultrasound-based microvascular imaging technology, was used to visualize angiogenesis development of a spontaneous mouse model of breast cancer (n=48).  ...  The clustering approach may be beneficial for other types of morphological analysis beyond vascular ultrasound images.  ...  Yueh Lee for his advice on study design. The collaboration of F. Stuart Foster, Marc Lukacs, Mike Lee, and Emmanuel Cherin are appreciated for the development of the custom RMV probes.  ... 
doi:10.1155/2020/7862089 pmid:32089667 pmcid:PMC7026721 fatcat:cnv6b2cepbbbzotbhuwv5epkma

Lowest-Variance Streamlines for Filtering of 3D Ultrasound [article]

Veronika Soltészová, Linn Emilie Sævil Helljesen, Wolfgang Wein, Odd Helge Gilja, Ivan Viola
2012 Eurographics Workshop on Visual Computing for Biomedicine  
The presence of noise especially hinders the 3D visualization of ultrasound data, both in terms of resolving the spatial occlusion of the signal by surrounding noise, and mental decoupling of the signal  ...  This filter is based on a local distribution of variance for a given voxel. The lowest variance direction is assumed to be aligned with the direction of the structure.  ...  Statistical analysis of data has been facilitated for filtering and segmentation purposes in a number of works. Czerwinski et al.  ... 
doi:10.2312/vcbm/vcbm12/041-048 fatcat:nm5beeoijrex3dnxu3lzwmaglq

Despeckle Filtering Algorithms and Software for Ultrasound Imaging

Christos P. Loizou, Constantinos S. Pattichis
2008 Synthesis Lectures on Algorithms and Software in Engineering  
Despeckling is based on estimating the true intensity x i, j as a function of the intensity of the pixel y i, j and some local statistics calculated on a neighborhood of this pixel. Wagner et al.  ...  In this book, we carry out a comparative evaluation of despeckle filtering techniques based on texture analysis, image quality evaluation metrics, as well as visual assessment by experts on 440 ultrasound  ...  will read an image and apply the dsflsmv despeckle filter on the image iteratively five times, by using a moving sliding window of [7´7] pixels.  ... 
doi:10.2200/s00116ed1v01y200805ase001 fatcat:n6v3zqwy3revjkl533r7o3ns3y

Feature Exploration using Local Frequency Distributions in Computed Tomography Data

Martin Falk, Patric Ljung, Claes Lundström, Anders Ynnerman, Ingrid Hotz
2020 Eurographics Workshop on Visual Computing for Biomedicine  
In this paper, we propose contributions to the area of medical volume data exploration, in particular Computed Tomography (CT) data, based on the decomposition of local frequency distributions (LFD).  ...  By considering the local neighborhood utilizing LFDs we can incorporate a measure for neighborhood similarity to differentiate features thereby enhancing the classification abilities of existing methods  ...  The Backpack dataset is courtesy of Kevin Kreeger, Viatronix Inc., USA. The presented concepts have been developed and evaluated in the Inviwo framework [JSS * 19] (  ... 
doi:10.2312/vcbm.20201166 dblp:conf/vcbm/FalkLLYH20 fatcat:ceonaf265vclzpk7gu75j2ryoa

An Extensive Review of Significant Researches on Medical Image Denoising Techniques

Mredhula. L, M. A. Dorairangasamy
2013 International Journal of Computer Applications  
In this paper, an extensive review on denoising of medical images is presented together with the classification of medical images into either Radiographic or Ultrasound or MRI or CT image.  ...  In addition, a brief description on the digital images and medical images is presented. A concise note on Radiography, Ultrasound, MRI and CT images is also presented.  ...  Based on texture analysis, image quality evaluation metrics, and visual evaluation, Christos Loizou et al.  ... 
doi:10.5120/10699-1551 fatcat:qq7ijy7r7zdhnesrdjow7ucsxq

A Review on Noise Reduction of Echo Cardiographic Images based on Temporal Information

Archana Sharma, Swapnil Jain
2016 International Journal of Computer Applications  
Judgment of the filters is predicated on a series of computer-simulated and real clinical images, and additionally on visual assessment by specialists.  ...  Noise suppression of echocardiography images may be a difficult issue for correct and effective human interpretation and computer-assisted analysis.  ...  Evaluation of the filters is base on a succession of computer-simulated and actual experimental descriptions, and also on visual estimation by expert.  ... 
doi:10.5120/ijca2016911772 fatcat:zxyecz5imbcghnm5g4kzp5tkye

Kernel PCA Based Non-Local Means Method for Speckle Reduction in Medical Ultrasound Images

Musab Elkheir Salih, Xuming Zhang, Mingyue Ding
2022 OALib  
The speckle noise is considered one of the main causes of degradation in ultrasound image quality.  ...  The visual inspection and image metrics will show that the proposed filter is very competitive with respect to one of state-of-the-art methods, the Optimized Bayesian Non Local Means filter (OBNLM), in  ...  The statistical property of the SVD is based on representation of data in subspaces of significant [16] . This is core property to derive the less noise image features.  ... 
doi:10.4236/oalib.1108618 fatcat:xo2dz3waabeg5dedcmibtzscxm

Algorithms for modeling anatomic and target volumes in image-guided neurosurgery and radiotherapy

Jyrki Alakuijala
2002 Medical Physics (Lancaster)  
Stereoscopic visualization, volumetric tumor model overlaid on an ultrasound image, and visualization of the treatment geometry were experimented with on a neurosurgical workstation.  ...  A novel visualization method, beam's light view, is presented. It uses texture mapping for projecting the fluence of a radiation field on an arbitrary surface.  ...  Acknowledgements This research work was first started at the Department of Neurosurgery at Oulu University Hospital during the years 1991-1993. The work was continued in Dosetek Oy, Espoo, and  ... 
doi:10.1118/1.1501890 fatcat:iwwovoppbvdpjnzfrgmehmsuvy

2014 Index IEEE Transactions on Medical Imaging Vol. 33

2014 IEEE Transactions on Medical Imaging  
Classification of Dynamic Contrast Enhanced MR Images of Cervical Cancers Using Texture Analysis and Support Vector Machines.  ...  ., +, TMI June 2014 1390-1400 Classification of Dynamic Contrast Enhanced MR Images of Cervical Cancers Using Texture Analysis and Support Vector Machines.  ...  MRI Upsampling Using Feature-Based Nonlocal Means Approach. Jafari-Khouzani, K., 1969 -1985 Numerical Surrogates for Human Observers in Myocardial Motion Evaluation From SPECT Images.  ... 
doi:10.1109/tmi.2014.2386278 fatcat:poarfhfto5bm5mhfl7ugwtw4xy

Small Lesions Evaluation Based on Unsupervised Cluster Analysis of Signal-Intensity Time Courses in Dynamic Breast MRI

A. Meyer-Baese, T. Schlossbauer, O. Lange, A. Wismueller
2009 International Journal of Biomedical Imaging  
The results suggest that the computerized analysis system based on unsupervised clustering has the potential to increase the diagnostic accuracy of MRI mammography for small lesions and can be used as  ...  , in dynamic contrast-enhanced MRI.  ...  The clinical standard method to analyze dynamic MRI of the breast is based on carefully choosing a region of interest (ROI) surrounding the contrast enhancing lesion [10] .  ... 
doi:10.1155/2009/326924 pmid:20379361 pmcid:PMC2850138 fatcat:rrrvdtta35d2zeawutbqy7ossm
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