Conferences related to Myocardium

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2019 41st Annual International Conference of the IEEE Engineering in Medicine & Biology Society (EMBC)

The conference program will consist of plenary lectures, symposia, workshops andinvitedsessions of the latest significant findings and developments in all the major fields ofbiomedical engineering.Submitted papers will be peer reviewed. Accepted high quality paperswill be presented in oral and postersessions, will appear in the Conference Proceedings and willbe indexed in PubMed/MEDLINE & IEEE Xplore


2019 IEEE 16th International Symposium on Biomedical Imaging (ISBI)

The IEEE International Symposium on Biomedical Imaging (ISBI) is the premier forum for the presentation of technological advances in theoretical and applied biomedical imaging.ISBI 2019 will be the 16th meeting in this series. The previous meetings have played a leading role in facilitating interaction between researchers in medical and biological imaging. The 2019 meeting will continue this tradition of fostering cross fertilization among different imaging communities and contributing to an integrative approach to biomedical imaging across all scales of observation.


2019 IEEE International Conference on Image Processing (ICIP)

The International Conference on Image Processing (ICIP), sponsored by the IEEE SignalProcessing Society, is the premier forum for the presentation of technological advances andresearch results in the fields of theoretical, experimental, and applied image and videoprocessing. ICIP 2019, the 26th in the series that has been held annually since 1994, bringstogether leading engineers and scientists in image and video processing from around the world.


2019 IEEE International Ultrasonics Symposium (IUS)

The conference covers all aspects of the technology associated with ultrasound generation and detection and their applications.


2019 IEEE Nuclear Science Symposium and Medical Imaging Conference (NSS/MIC)

This conference is the annual premier meeting on the use of instrumentation in the Nuclear and Medical fields. The meeting has a very long history of providing an exciting venue for scientists to present their latest advances, exchange ideas, renew existing collaboration and form new ones. The NSS portion of the conference is an ideal forum for scientists and engineers in the field of Nuclear Science, radiation instrumentation, software engineering and data acquisition. The MIC is one of the most informative venues on the state-of-the art use of physics, engineering, and mathematics in Nuclear Medicine and related imaging modalities, such as CT and increasingly so MRI, through the development of hybrid devices


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Periodicals related to Myocardium

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Biomedical Engineering, IEEE Transactions on

Broad coverage of concepts and methods of the physical and engineering sciences applied in biology and medicine, ranging from formalized mathematical theory through experimental science and technological development to practical clinical applications.


Computer

Computer, the flagship publication of the IEEE Computer Society, publishes peer-reviewed technical content that covers all aspects of computer science, computer engineering, technology, and applications. Computer is a resource that practitioners, researchers, and managers can rely on to provide timely information about current research developments, trends, best practices, and changes in the profession.


Engineering in Medicine and Biology Magazine, IEEE

Both general and technical articles on current technologies and methods used in biomedical and clinical engineering; societal implications of medical technologies; current news items; book reviews; patent descriptions; and correspondence. Special interest departments, students, law, clinical engineering, ethics, new products, society news, historical features and government.


Magnetics, IEEE Transactions on

Science and technology related to the basic physics and engineering of magnetism, magnetic materials, applied magnetics, magnetic devices, and magnetic data storage. The Transactions publishes scholarly articles of archival value as well as tutorial expositions and critical reviews of classical subjects and topics of current interest.


Medical Imaging, IEEE Transactions on

Imaging methods applied to living organisms with emphasis on innovative approaches that use emerging technologies supported by rigorous physical and mathematical analysis and quantitative evaluation of performance.


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Most published Xplore authors for Myocardium

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Xplore Articles related to Myocardium

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Correction to "Biventricular Myocardial Strains via Nonrigid Registration of Anatomical NURBS Models"

IEEE Transactions on Medical Imaging, 2006

None


Automatic segmentation of left ventricular myocardium by deep convolutional and de-convolutional neural networks

2016 Computing in Cardiology Conference (CinC), 2016

Deep learning has been integrated into several existing left ventricle (LV) endocardium segmentation methods to yield impressive accuracy improvements. However, challenges remain for segmentation of LV epicardium due to its fuzzier appearance and complications from the right ventricular insertion points. Segmenting the myocardium collectively (i.e., endocardium and epicardium together) confers the potential for better segmentation results. In this work, we ...


Fractionated repolarization induced by sotalol in healthy subjects

Computers in Cardiology, 2005, 2005

Over the past five years, regulatory authorities have been increasingly concerned with QT prolongations induced by non-cardiac drug and have recommended pharmaceutical companies to include a careful assessment of the QT interval in their drug development programs. There are controversies around the predictive value of QT prolongation in safety-drug assessment studies. The prolongation of the QT interval is an imperfect, ...


Towards real-time detection of myocardial infarction by digital analysis of electrocardiograms

2011 1st Middle East Conference on Biomedical Engineering, 2011

Myocardial infarction (MI) is one of the most common sudden-onset heart diseases. Early diagnosis and management of heart ischemia result in good prognosis. Early changes in the heart muscle activity after ischemia reflect in ST segment elevation on electrocardiogram (ECG) recordings. With the development of signal processing techniques and the portable devices, there is a need to develop a real-time ...


Ventricular fibrillation in rats with cardiac fibrosis

Computers in Cardiology, 2002

Previous studies have shown that administration of angiotensin II (Ang II) causes atrial and ventricular fibrosis in rats, as is found in patients with chronic heart failure. We hypothesize that fibrosis creates a substrate that promotes the induction of ventricular fibrillation (VF). Fourteen, eight-week old, Sprague-Dawley rats were studied. Eleven received a four-week treatment of Ang II (9 /spl mu/g/hr) ...


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Educational Resources on Myocardium

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IEEE.tv Videos

No IEEE.tv Videos are currently tagged "Myocardium"

IEEE-USA E-Books

  • Correction to "Biventricular Myocardial Strains via Nonrigid Registration of Anatomical NURBS Models"

    None

  • Automatic segmentation of left ventricular myocardium by deep convolutional and de-convolutional neural networks

    Deep learning has been integrated into several existing left ventricle (LV) endocardium segmentation methods to yield impressive accuracy improvements. However, challenges remain for segmentation of LV epicardium due to its fuzzier appearance and complications from the right ventricular insertion points. Segmenting the myocardium collectively (i.e., endocardium and epicardium together) confers the potential for better segmentation results. In this work, we develop a computational platform based on deep learning to segment the whole LV myocardium simultaneously from a cardiac magnetic resonance (CMR) image. The deep convolutional network is constructed using Caffe platform, which consists of 6 convolutional layers, 2 pooling layers, and 1 de-convolutional layer. A preliminary result with Dice metric of 0.75±0.04 is reported on York MR dataset. While in its current form, our proposed one-step deep learning method cannot compete with state-of-art myocardium segmentation methods, it delivers promising first pass segmentation results.

  • Fractionated repolarization induced by sotalol in healthy subjects

    Over the past five years, regulatory authorities have been increasingly concerned with QT prolongations induced by non-cardiac drug and have recommended pharmaceutical companies to include a careful assessment of the QT interval in their drug development programs. There are controversies around the predictive value of QT prolongation in safety-drug assessment studies. The prolongation of the QT interval is an imperfect, but accepted, surrogate marker of drug cardiac toxicity. In this study, we hypothesize that the inhomogeneous effect of QT-prolonging drug in the different layers of the myocardium would not only delay cardiac repolarization, but also perturb the repolarization wavefront on surface ECGs. Principal component analysis (PCA) was applied to the 12-lead ECG Holier recordings. The first two eigenvectors (ev1, ev2) were computed. From PCA, several parameters were calculated based on the first eigenvector and on the T-loop. We demonstrated slower repolarization and perturbed T-wave front; 30 min after sotalol administration, turbulence of repolarization velocity increased by 9.02%, p<0.05, occurring prior to QT prolongation. These abnormalities were mainly located in the ascending part of the T-wave, whereas the descending part seemed to be less affected at this early phase. In conclusion, analyzing repolarization morphology might help identifying early drug-induced repolarization changes, which could be missed when relying exclusively on QT measurements

  • Towards real-time detection of myocardial infarction by digital analysis of electrocardiograms

    Myocardial infarction (MI) is one of the most common sudden-onset heart diseases. Early diagnosis and management of heart ischemia result in good prognosis. Early changes in the heart muscle activity after ischemia reflect in ST segment elevation on electrocardiogram (ECG) recordings. With the development of signal processing techniques and the portable devices, there is a need to develop a real-time algorithm that accurately detects MI non- invasively. In this paper, we propose a computer algorithm that employs digital analysis scheme towards the real-time detection of MI. The proposed algorithm extract features based on clinical diagnosis conditions allowing the continuous analysis of ST segment and simultaneous detection of abnormal heart activity resulting from MI. Using an online ECG library of patient data, the signals were filtered for high frequency noise, baseline drift then features of interest (Q, R, S waves and J points) were extracted. These were used to measure the ST segment elevation and depression as an important indicator of MI defined in clinical guideline for MI diagnosis. The developed algorithm was capable of detecting MI with 85% sensitivity and 100% specificity in a test set of 40 ECG recordings.

  • Ventricular fibrillation in rats with cardiac fibrosis

    Previous studies have shown that administration of angiotensin II (Ang II) causes atrial and ventricular fibrosis in rats, as is found in patients with chronic heart failure. We hypothesize that fibrosis creates a substrate that promotes the induction of ventricular fibrillation (VF). Fourteen, eight-week old, Sprague-Dawley rats were studied. Eleven received a four-week treatment of Ang II (9 /spl mu/g/hr) from an implanted mini-pump. After treatment, the chest was opened, and 50 Hz stimulation at a strength of three times the pacing threshold was applied across the atria and ventricles for 2.5, 5, and 10 s. VF was more inducible in treated rats (6 of 11) than untreated rats (0 of 3, P < 0.05). Three of 12 VF episodes were sustained (> 10 s) while the remaining VF episodes were nonsustained (> 30 ms and < 10 s) after stimulation ended. Our results suggest that cardiac fibrosis induced by Ang II treatment creates a substrate for sustained VF.

  • Measurement of 3D left ventricular strains during diastole using image warping and untagged MRI images

    Image-based finite-element analysis of the left ventricle (LV) was used to determine the deformation and strain developed between mid-diastole and end- diastole. The algorithm used volumetric MRI data to create a body force that deforms a finite-element model of the LV in mid-diastole and tracks tissue deformation. A volumetric MRI data set corresponding to mid-diastole was designated as the reference image and an image corresponding to end-diastole was designated as the deformed image. The reference image was manually segmented and a 3D finite-element mesh was created. The warping version of the nonlinear finite-element program NIKE3D (from Lawrence Livermore National Laboratory) was used to analyze the images. Warping results of the left ventricular circumferential stretch measurements at the base and mid-ventricle were compared with direct measurements of the image data set. The warping results showed less than 3% difference between the methods.

  • Fast algorithm for estimating the regional mechanical function of the left ventricle from 4D cardiac CT data

    Cardiac pathologies are generally associated with regional ventricular dysfunction. Methods for estimating the regional myocardial motion from cardiac CT image data generally ignore the rotational velocities. Reasons for this include the challenges of sparse image deformation clues, low SNR and the low temporal resolution. In the current study we propose a fast algorithm for evaluating the mechanical function of the left ventricle from cardiac CT data. A compact parametric motion model is used to describe the regional 3D contraction and twist. The algorithm is based on regularized multi-homography image registration. The rotational velocities are estimated and compared to their respective values in the literature, with good agreement. Good performance in classifying the segments as normal or abnormal with respect to expert's visual scores is obtained.

  • Automatic removal of extracardiac hotspots in technetium-99m myocardial perfusion SPECT

    In Technitium-99m myocardial perfusion SPECT (MPS) tomograms, there is usually a substantial radioactive tracer uptake in the abdominal organs, especially the liver, bowel and stomach. This extracardiac activity frequently emerges as areas of intense brightness or hotspots, which hamper efforts in automatic MPS quantification. Though it would be favourable to remove the hotspots, their multitudinous appearance and proximity to the heart have made them difficult to be removed. In this paper, we propose an image processing technique to automatically remove the hotspots. Our technique uses the morphological watershed segmentation to delineate the hotspots before they are iteratively removed. The proposed technique has been applied on clinical MPS tomograms in which it has completely removed the hotspots in 90% of the test data. In addition, it has also shown to increase the success rate of an automatic left ventricle detection scheme to 100%.

  • The Medical Applications of Short-Lived, Cyclotron-Produced Radionuclides

    None

  • Texture analysis for infarcted myocardium detection on delayed enhancement MRI

    Detection of infarcted myocardium in the left ventricle is achieved with delayed enhancement magnetic resonance imaging (DE-MRI). However, manual segmentation is tedious and prone to variability. We studied three texture analysis methods (run-length matrix, co-occurrence matrix, and autoregressive model) in combination with histogram features to characterize the infarcted myocardium. We evaluated 10 patients with chronic infarction to select the most discriminative features and to train a support vector machine (SVM) classifier. The classifier model was then used to segment five human hearts from the STACOM DE-MRI challenge at MICCAI 2012. The Dice coefficient was used to compare the segmentation results with the ground truth available in the STACOM dataset. Segmentation using texture features provided good results with an overall Dice coefficient of 0.71 ± 0.12 (mean ± standard deviation).


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