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AutoMPR: Automatic detection of standard planes in 3D echocardiography

Xiaoguang Lu, Bogdan Georgescu, Yefeng Zheng, Joanne Otsuki, Dorin Comaniciu
2008 2008 5th IEEE International Symposium on Biomedical Imaging: From Nano to Macro  
3D echocardiography is one of the emerging real-time imaging modalities that is increasingly used in clinical practice to assess cardiac function.  ...  We propose an automated supervised learning method to detect standard multiplanar reformatted planes (MPRs) from a 3D echocardiographic volume.  ...  (4) SAXB: short axis basal plane; (5) SAXM: short axis middle plane; (6) SAXA: short axis apex plane.  ... 
doi:10.1109/isbi.2008.4541237 dblp:conf/isbi/LuGZOC08 fatcat:kvsqtowkuvfqnouqqaqpdkbn7q

Quantitative Detection of Left Ventricular Wall Motion Abnormality by Two-Dimensional Echocardiography

Zinah Rajab Hussein, Rahmita Wirza Rahmat, Lili Nurliyana Abdullah, M. Iqbal Saripan, DM Zamrin
2010 Computer and Information Science  
Unfortunately the quality of echocardiograph images and complexities of underlying motion captured, makes it difficult for an in-experienced physicians/ radiologist to describe the motion abnormalities  ...  in a crisp way, leading to possible errors in diagnosis.  ...  In addition, partial-volume affects are less in short axis view compared to others. First, we designed a program by using MATLAB for converting echocardiograph video to two dimensional frames.  ... 
doi:10.5539/cis.v3n2p79 fatcat:jozptlpilncyjmv37nwd7gvgvu

Fast and accurate classification of echocardiograms using deep learning [article]

Ali Madani, Ramy Arnaout, Mohammad Mofrad, Rima Arnaout
2017 arXiv   pre-print
In conclusion, deep neural networks can classify essential echocardiographic views simultaneously and with high accuracy.  ...  Confusional matrices, occlusion experiments, and saliency mapping showed that the model finds recognizable similarities among related views and classifies using clinically relevant image features.  ...  Acknowledgements We thank the board-certified echocardiographers who scored images as human experts.  ... 
arXiv:1706.08658v1 fatcat:vrp7okdfb5gy3ipzpuwz5ywiwq

Automatic acquisition of the four-chamber view for 3D echocardiography

Xiaoping Liu, Xin Yang
2008 IEICE Electronics Express  
To assist the diagnosis and analysis of heart disease, we introduce a template matching based method to detect the apical four-chamber (A4C) image plane in the three-dimensional echocardiographic (3DE)  ...  Firstly, a typical A4C image is selected as the template. Secondly, a series of cross-sections are extracted from a 3DE image.  ...  Lanping Wu for supplying the echocardiographic images and all the reviewers for their valuable comments and suggestions.  ... 
doi:10.1587/elex.5.316 fatcat:jtmfa5dpvfb4zpmwh545dc5jea

Automatic Computation of Left Ventricular Volume Changes Over a Cardiac Cycle from Echocardiography Images by Nonlinear Dimensionality Reduction

Zahra Alizadeh Sani, Ahmad Shalbaf, Hamid Behnam, Reza Shalbaf
2014 Journal of digital imaging  
This paper introduces a new automatic method, based on nonlinear dimensionality reduction (NLDR) for extracting the curve of the LV volume changes over a cardiac cycle from two-dimensional (2-D) echocardiography  ...  Isometric feature mapping (Isomap) is one of the most popular NLDR algorithms.  ...  models of the LV, dimensions, and area measurements obtained from long axis apical and short axis views [2, 3, 21] .  ... 
doi:10.1007/s10278-014-9722-z pmid:25059548 pmcid:PMC4305052 fatcat:ddxmtynmlzce7drnh7o5vqo3uq

Fast and accurate view classification of echocardiograms using deep learning

Ali Madani, Ramy Arnaout, Mohammad Mofrad, Rima Arnaout
2018 npj Digital Medicine  
Data visualization experiments showed that the model recognizes similarities among related views and classifies using clinically relevant image features.  ...  Even on single low-resolution images, accuracy among 15 views was 91.7% vs. 70.2-84.0% for board-certified echocardiographers.  ...  ACKNOWLEDGEMENTS We thank the board-certified echocardiographers who scored images as human experts. R. Competing interests: The authors declare no competing financial interests.  ... 
doi:10.1038/s41746-017-0013-1 pmid:30828647 pmcid:PMC6395045 fatcat:cmbsb6xi6fhv5lz4o3f6vy3eoi

950-95 Enhanced Detection of Endocardial Motion by Spatiotemporal Fourier Filtration of 2-D Echocardiographic Acoustic Quantification Images

Shalabh Chandra, Mario J. Garcia, Annitta Morehead, James D. Thomas
1995 Journal of the American College of Cardiology  
Conclusion: By eliminating high frequency noise from the echocardiographic AQ images, spatiotemporal Fourier filtration provides a more accurate representation of the endocardial edge motion.  ...  Methods: We stored digitally the 2-D AQ echocardiographic images obtained from the parasternal short axis view in 10 study subjects.  ...  of echocardiographic images.  ... 
doi:10.1016/0735-1097(95)92208-m fatcat:ntqvihebrzgnxhqtve3vneveae

Is elite sport activity associated with specific supranormal left ventricular contractility? (Insights from the three-dimensional speckle-tracking echocardiographic MAGYAR-Sport Study)

Attila Nemes, Anita Kalapos, Péter Domsik, Mónika Oszlánczi, Csaba Lengyel, Andrea Orosz, László Török, László Balogh, Tamás Forster
2016 International Journal of Cardiology  
apical two-(AP2CH) and fourchamber (AP4CH) views and different LV short-axis (basal, midventricular and apical) views (Fig. 1) .  ...  All sportmen and healthy controls have undergone complete two-dimensional (2D) Doppler echocardiographic examination extended with 3DSTE.  ...  Acknowledgment The authors of this manuscript certify that they comply with the Principles of Ethical Publishing in the International Journal of Cardiology.  ... 
doi:10.1016/j.ijcard.2016.06.124 pmid:27372048 fatcat:43dne6lgbzhexhip3bpgd4h5da

Automatic Detection of Left Ventricle in Echocardiographic Sequences using Radial Search and Temporal Smoothing

Prashant Bansod, U.B. Desai, Nitin Burkule
2007 2007 15th International Conference on Digital Signal Processing  
Geiser,“Automatic Center Point De- Papillary Muscle ±4mm ±2mm termination In Two-Dimensional Short-Axis echocardiographic  ...  This is valid for the short axis echocardiographic views under consideration in this paper.  ... 
doi:10.1109/icdsp.2007.4288538 fatcat:54oqhhtspfbm7ifeop7wjpduba

Computer-aided recognition of a four-chamber image plane in three-dimensional echocardiographic images of children

Xiaoping Liu
2008 Journal of Electronic Imaging (JEI)  
Automated detection of the clinically relevant image planes in a three-dimensional echocardiographic (3-DE) data set has potential applications for diagnosis of pediatric congenital heart disease.  ...  Second, to find the 4CIP in a 3-D volume, a series of cross sections are extracted from this volume.  ...  With the detected 4CIP, it is easier to find the short-axis and long-axis image planes in the data sets.  ... 
doi:10.1117/1.2956009 fatcat:y67rmpodavbqleunvlath2k2py

Analysis of Cardiac Ultrasound Images of Critically Ill Patients Using Deep Learning

Lingxia Zhu, Zhiping Xu, Ting Fang, Fazlullah Khan
2021 Journal of Healthcare Engineering  
Next, the time-series features of the two-dimensional image sequence are extracted and the classification of the ultrasound section video data is realized.  ...  Cardiovascular disease remains a substantial cause of morbidity and mortality in the developed world and is becoming an increasingly important cause of death in developing countries too.  ...  neural network to extract the timeseries features of the two-dimensional image sequence to realize the ultrasound video automatic classification. e test results show that the average test accuracy of  ... 
doi:10.1155/2021/6050433 pmid:34745504 pmcid:PMC8566033 fatcat:alrml2ojnvcjhbcwe26xhbm6c4

Artificial Intelligence-based Echocardiogram Video Classification by Aggregating Dynamic Information

2021 KSII Transactions on Internet and Information Systems  
However, finding valid cardiac views has traditionally been time-consuming, and a laborious process because medical imaging is interpreted manually by the specialist.  ...  More importantly, based on a brand-new echocardiogram dataset of the Asian race, our research considers and assesses some new neural network architectures driven by action recognition in video.  ...  Two feature sequences represent the input video after feature extraction. There are 512 dimensions of every feature vector.  ... 
doi:10.3837/tiis.2021.02.007 fatcat:r6oz5qjqnbfzzjdz536aq6ffxa

Automatic Border Detection of the Left Ventricle in Parasternal Short Axis View of Echocardiogram

G. N.Balaji, T. S. Subashini
2013 International Journal of Computer Applications  
Left ventricular dimensions, volumes and wall thicknesses are echocardiographic measurements that are widely used in clinical practice and research.  ...  The 2D image is obtained by extracting the frames from the video of echocardiogram which is further processed to detect the edges of the left ventricle and finally the edge detected frames are converted  ...  The literature shows different methods for segmentation of LV in short axis views.  ... 
doi:10.5120/13449-1348 fatcat:mg35llqjujhu5kit7wljb6sk2q

Artificial Intelligence in Cardiovascular Imaging

Lisa J Lim, Geoffrey H Tison, Francesca N Delling
2020 Methodist DeBakey Cardiovascular Journal  
Current literature indicates that in the short-term, AI has the capacity to reduce human error and save time in the clinical workflow through automated segmentation of cardiac structures.  ...  In the future, AI may expand the informational value of diagnostic images based on images alone or a combination of images and clinical variables, thus facilitating disease detection, prognosis, and decision  ...  Tan et al. used a convolutional neural network to automate LV segmentation in all short-axis slices and phases in publicly available datasets. 36 In another study by Baessler et al., ML algorithms helped  ... 
doi:10.14797/mdcj-16-2-138 pmid:32670474 pmcid:PMC7350824 fatcat:hlxcxedw7jgwbgaxj2ibzwjh6q

CAVITY SEGMENTATION AND STROKE VOLUME MEASUREMENT METHODS FROM ECHOCARDIOGRAPHIC IMAGES: REVIEW

Anas A. Abboud, Rahmita Wirza Rahmat, Suhaini Bin Kadiman, Mohd Zamrin Bin Dimon, Lili Nurliyana, M. Iqbal Saripan, Hasan H. Khaleel
2014 Journal of Computer Science  
Therefore, different cardiac imaging techniques have been developed to help specialists in their regular clinical work and in the operating theatre to assist in the diagnosis, monitoring of the treatment  ...  This review is aimed at presenting the previous technical elements and algorithms used to measure the ventricle stroke volume from echocardiographic images.  ...  The endocardial and epicardial boundary were extracted in sequence of short axis LV images by wavelet-based edge detection approach.  ... 
doi:10.3844/jcssp.2014.2220.2231 fatcat:6yw7mmqpt5glnf4zrwfb2ikurq
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