Pub Date : 2019-09-01DOI: 10.23919/CinC49843.2019.9005815
T. Panula, J. Blomster, Mikko Pänkäälä, T. Koivisto, M. Kaisti
The aim of the study was to develop an automated device for recording peripheral arterial pulse wave, in order to assess cardiovascular health. Recent studies have shown that photoplethysmography (PPG) is a viable technique to measure peripheral pressure waveform. We developed a small motorized device that can measure pulse waveform from a finger. The device targets the distal transverse palmar arch (DTPA) artery using infrared wavelength PPG. Measurements were taken from healthy subjects (n = 8).The device was validated by performing HR detection and waveform analysis. The device was able to record high quality blood pressure calibrated arterial waveforms and detect beat-to-beat heart rate allowing the assessment of cardiovascular health status.
{"title":"An Automated Device for Recording Peripheral Arterial Waveform","authors":"T. Panula, J. Blomster, Mikko Pänkäälä, T. Koivisto, M. Kaisti","doi":"10.23919/CinC49843.2019.9005815","DOIUrl":"https://doi.org/10.23919/CinC49843.2019.9005815","url":null,"abstract":"The aim of the study was to develop an automated device for recording peripheral arterial pulse wave, in order to assess cardiovascular health. Recent studies have shown that photoplethysmography (PPG) is a viable technique to measure peripheral pressure waveform. We developed a small motorized device that can measure pulse waveform from a finger. The device targets the distal transverse palmar arch (DTPA) artery using infrared wavelength PPG. Measurements were taken from healthy subjects (n = 8).The device was validated by performing HR detection and waveform analysis. The device was able to record high quality blood pressure calibrated arterial waveforms and detect beat-to-beat heart rate allowing the assessment of cardiovascular health status.","PeriodicalId":6697,"journal":{"name":"2019 Computing in Cardiology (CinC)","volume":"26 1","pages":"Page 1-Page 4"},"PeriodicalIF":0.0,"publicationDate":"2019-09-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"73885006","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Pub Date : 2019-09-01DOI: 10.23919/CinC49843.2019.9005762
C. Xanthis, K. Haris, D. Filos, A. Aletras
Machine learning techniques have become increasingly successful over the last few years in medical image analysis and radiology. However, the low availability, relativeness and size of the training data sets required by the associated learning algorithms prevents their further development or delays their application in clinical practice.This study presented for the first time the development of artificially generated training datasets for supervised learning techniques through the incorporation of a realistic simulation framework in the field of Magnetic Resonance Imaging (MRI). An example in left-ventricle segmentation was utilized and the performance of a fully convolutional network on true cardiac MR data was evaluated.
{"title":"Artificially Generated Training Datasets for Supervised Machine Learning Techniques in Magnetic Resonance Imaging: An Example in Myocardial Segmentation","authors":"C. Xanthis, K. Haris, D. Filos, A. Aletras","doi":"10.23919/CinC49843.2019.9005762","DOIUrl":"https://doi.org/10.23919/CinC49843.2019.9005762","url":null,"abstract":"Machine learning techniques have become increasingly successful over the last few years in medical image analysis and radiology. However, the low availability, relativeness and size of the training data sets required by the associated learning algorithms prevents their further development or delays their application in clinical practice.This study presented for the first time the development of artificially generated training datasets for supervised learning techniques through the incorporation of a realistic simulation framework in the field of Magnetic Resonance Imaging (MRI). An example in left-ventricle segmentation was utilized and the performance of a fully convolutional network on true cardiac MR data was evaluated.","PeriodicalId":6697,"journal":{"name":"2019 Computing in Cardiology (CinC)","volume":"11 1","pages":"Page 1-Page 2"},"PeriodicalIF":0.0,"publicationDate":"2019-09-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"74760184","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Pub Date : 2019-09-01DOI: 10.23919/CinC49843.2019.9005738
M. Budanova, M. Chmelevsky, S. Zubarev, D. Potyagaylo, B. Rudic, E. Tueluemen, M. Borggrefe
Non-invasive electrocardiographic imaging (ECGI) shows high accuracy for topical diagnosis of focal arrhythmias. Activation maps obtained by ECGI allow for the analysis of excitation propagation during sinus rhythm with conduction disturbances. Nevertheless, noninvasive activation patterns have not been compared with the results of invasive mapping. In this article, we present the results of a qualitative comparison of non-invasive activation maps and CARTO LAT maps.
{"title":"Comparison of CARTO LAT Maps and Non-Invasive Activation Maps for Patients with Intraventricular Conduction Disturbance During Sinus Rhythm","authors":"M. Budanova, M. Chmelevsky, S. Zubarev, D. Potyagaylo, B. Rudic, E. Tueluemen, M. Borggrefe","doi":"10.23919/CinC49843.2019.9005738","DOIUrl":"https://doi.org/10.23919/CinC49843.2019.9005738","url":null,"abstract":"Non-invasive electrocardiographic imaging (ECGI) shows high accuracy for topical diagnosis of focal arrhythmias. Activation maps obtained by ECGI allow for the analysis of excitation propagation during sinus rhythm with conduction disturbances. Nevertheless, noninvasive activation patterns have not been compared with the results of invasive mapping. In this article, we present the results of a qualitative comparison of non-invasive activation maps and CARTO LAT maps.","PeriodicalId":6697,"journal":{"name":"2019 Computing in Cardiology (CinC)","volume":"277 1","pages":"Page 1-Page 4"},"PeriodicalIF":0.0,"publicationDate":"2019-09-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"83061566","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Pub Date : 2019-09-01DOI: 10.23919/CinC49843.2019.9005925
S. Luo, Hong Wei, P. Macfarlane
ECGs from neonates are known to have a higher frequency content than adult ECGs.The aim of the study was to determine the effect of using different filter bandwidths on neonatal ECGs initially sampled at a rate of 8000 samples per second (which permits the use of a signal bandwidth much higher than 150 Hz) and to consider the implications for routine ECG recording.48 ECGs were recorded from newly born term infants (0-48 hours postnatal) at Princess Royal Maternity Hospital, Glasgow on a Burdick 8500 electrocardiograph. The frequency response of the machine was carefully checked. Peak to peak QRS amplitudes of average beats of the 10 second recordings were measured in all 8 independent leads with the results obtained at the full bandwidth of the ECG machine regarded as the reference.The full bandwidth of the 8500 was verified as 0.05 – 540Hz. It was found that the recommended upper frequency cutoff of 250Hz in the current guideline does not meet the goal of amplitude errors <25 μV in >95% of the cases in this data set. The clinical significance of high frequency components in pediatric ECGs is currently unclear.
{"title":"A Review of Bandwidth for Pediatric ECGs","authors":"S. Luo, Hong Wei, P. Macfarlane","doi":"10.23919/CinC49843.2019.9005925","DOIUrl":"https://doi.org/10.23919/CinC49843.2019.9005925","url":null,"abstract":"ECGs from neonates are known to have a higher frequency content than adult ECGs.The aim of the study was to determine the effect of using different filter bandwidths on neonatal ECGs initially sampled at a rate of 8000 samples per second (which permits the use of a signal bandwidth much higher than 150 Hz) and to consider the implications for routine ECG recording.48 ECGs were recorded from newly born term infants (0-48 hours postnatal) at Princess Royal Maternity Hospital, Glasgow on a Burdick 8500 electrocardiograph. The frequency response of the machine was carefully checked. Peak to peak QRS amplitudes of average beats of the 10 second recordings were measured in all 8 independent leads with the results obtained at the full bandwidth of the ECG machine regarded as the reference.The full bandwidth of the 8500 was verified as 0.05 – 540Hz. It was found that the recommended upper frequency cutoff of 250Hz in the current guideline does not meet the goal of amplitude errors <25 μV in >95% of the cases in this data set. The clinical significance of high frequency components in pediatric ECGs is currently unclear.","PeriodicalId":6697,"journal":{"name":"2019 Computing in Cardiology (CinC)","volume":"329 2-3 1","pages":"Page 1-Page 4"},"PeriodicalIF":0.0,"publicationDate":"2019-09-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"77294559","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Pub Date : 2019-09-01DOI: 10.23919/CinC49843.2019.9005867
Victor Gonçalves Marques, M. Rodrigo, M. Guillem, J. Salinet
Atrial tachycardia (AT), atrial flutter (AFL) and atrial fibrillation (AF) are among the most common cardiac arrhythmias and are driven by localized sources (ectopic focus in AT, macro-reentrant circuit in AFL and rotors in AF) that can be targeted for ablation. We aimed to characterize such mechanisms from the non-invasive perspective of body surface potential mapping (BSPM), using realistic computer models. Dominant frequency (DF) maps were studied to estimate the frequency of the driving mechanism and to analyze its spatio-temporal distribution of this frequency. Singularity points (SPs) were detected in phase maps and their distribution and rotational patterns were compared between arrhythmias. The driver frequencies were more expressed on the anterior portion of the torso for the right atrium and on the posterior portion for the left atrium. Rotational activity was detected in all arrhythmias, with increasing levels of spatial-temporal stability (AF, AT and AFL, respectively). These results can be used to identify the driving mechanisms and, in the future, to locate them in the atria.
{"title":"Non-Invasive Characterization of Atrial Arrhythmic Driving Mechanisms in Computer Models","authors":"Victor Gonçalves Marques, M. Rodrigo, M. Guillem, J. Salinet","doi":"10.23919/CinC49843.2019.9005867","DOIUrl":"https://doi.org/10.23919/CinC49843.2019.9005867","url":null,"abstract":"Atrial tachycardia (AT), atrial flutter (AFL) and atrial fibrillation (AF) are among the most common cardiac arrhythmias and are driven by localized sources (ectopic focus in AT, macro-reentrant circuit in AFL and rotors in AF) that can be targeted for ablation. We aimed to characterize such mechanisms from the non-invasive perspective of body surface potential mapping (BSPM), using realistic computer models. Dominant frequency (DF) maps were studied to estimate the frequency of the driving mechanism and to analyze its spatio-temporal distribution of this frequency. Singularity points (SPs) were detected in phase maps and their distribution and rotational patterns were compared between arrhythmias. The driver frequencies were more expressed on the anterior portion of the torso for the right atrium and on the posterior portion for the left atrium. Rotational activity was detected in all arrhythmias, with increasing levels of spatial-temporal stability (AF, AT and AFL, respectively). These results can be used to identify the driving mechanisms and, in the future, to locate them in the atria.","PeriodicalId":6697,"journal":{"name":"2019 Computing in Cardiology (CinC)","volume":"23 1","pages":"Page 1-Page 4"},"PeriodicalIF":0.0,"publicationDate":"2019-09-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"90331913","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Pub Date : 2019-09-01DOI: 10.23919/CinC49843.2019.9005739
Kim Munck, J. Struijk, Kasper Sørensen, S. Schmidt
The multichannel seismocardiography (mchSCG) project aims to develop the technology and knowledge-base to understand the distribution of vibration waves on the chest wall caused by cardio-mechanic events. This study focuses on the developing visualization methods for the vibration waves based on the multi-dimensional map obtained with the mchSCG equipment. We investigated four visualization methods. Vibration signals were collected in a four by four grid with 16 three-axis accelerometers placed on the chest of 11 healthy males. The visualization methods were investigated for their abilities to show temporal, spatial, and directional information. Of the four methods the SCG chart shows best temporal and small amplitude sensitivity information. Color plots provides an improved spatial overview. Tracking maps provide good directionality. The seismic mesh method is good at showing spatial and directionality information. Dependent on which signal aspects are of interest, the four visualization methods have their specific suited purposes. These visualization methods can assist further investigation of the vibration waves behavior and its relation to cardio-mechanic events.
{"title":"Visualization of the Multichannel Seismocardiogram","authors":"Kim Munck, J. Struijk, Kasper Sørensen, S. Schmidt","doi":"10.23919/CinC49843.2019.9005739","DOIUrl":"https://doi.org/10.23919/CinC49843.2019.9005739","url":null,"abstract":"The multichannel seismocardiography (mchSCG) project aims to develop the technology and knowledge-base to understand the distribution of vibration waves on the chest wall caused by cardio-mechanic events. This study focuses on the developing visualization methods for the vibration waves based on the multi-dimensional map obtained with the mchSCG equipment. We investigated four visualization methods. Vibration signals were collected in a four by four grid with 16 three-axis accelerometers placed on the chest of 11 healthy males. The visualization methods were investigated for their abilities to show temporal, spatial, and directional information. Of the four methods the SCG chart shows best temporal and small amplitude sensitivity information. Color plots provides an improved spatial overview. Tracking maps provide good directionality. The seismic mesh method is good at showing spatial and directionality information. Dependent on which signal aspects are of interest, the four visualization methods have their specific suited purposes. These visualization methods can assist further investigation of the vibration waves behavior and its relation to cardio-mechanic events.","PeriodicalId":6697,"journal":{"name":"2019 Computing in Cardiology (CinC)","volume":"33 1","pages":"Page 1-Page 4"},"PeriodicalIF":0.0,"publicationDate":"2019-09-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"78245430","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Pub Date : 2019-09-01DOI: 10.23919/CinC49843.2019.9005928
A. Verkerk, R. Wilders
Heterozygous carriers of the A414G mutation in the HCN4 gene, which encodes the HCN4 protein, show moderate to severe sinus bradycardia. Tetramers of HCN4 subunits constitute the ion channels that conduct the cardiac hyperpolarization-activated ‘funny current’ (If), which plays an important modulating role in the pacemaker activity of sinus node cells.We assessed the mechanism by which the A414G mutation in HCN4 causes sinus bradycardia. We carried out voltage clamp experiments on HCN4 channels expressed in Chinese hamster ovary (CHO) cells and incorporated the experimentally observed mutation-induced changes in If into the Fabbri-Severi model of a single human sinus node cell.In the Fabbri-Severi model, the experimentally observed effects on If increased the cycle length from 813 to 1004 ms, corresponding with a 19% decrease in beating rate from 74 to 60 beats/min. These mutation effects became more prominent at 10 nM ACh (vagal tone) and in the presence of a hyperpolarizing atrial load.We conclude that the experimentally identified mutation-induced changes in If can explain the clinically observed sinus bradycardia in carriers of the A414G mutation in the HCN4 gene.
{"title":"Mechanism of Sinus Bradycardia in Carriers of the A414G Mutation in the HCN4 Gene","authors":"A. Verkerk, R. Wilders","doi":"10.23919/CinC49843.2019.9005928","DOIUrl":"https://doi.org/10.23919/CinC49843.2019.9005928","url":null,"abstract":"Heterozygous carriers of the A414G mutation in the HCN4 gene, which encodes the HCN4 protein, show moderate to severe sinus bradycardia. Tetramers of HCN4 subunits constitute the ion channels that conduct the cardiac hyperpolarization-activated ‘funny current’ (If), which plays an important modulating role in the pacemaker activity of sinus node cells.We assessed the mechanism by which the A414G mutation in HCN4 causes sinus bradycardia. We carried out voltage clamp experiments on HCN4 channels expressed in Chinese hamster ovary (CHO) cells and incorporated the experimentally observed mutation-induced changes in If into the Fabbri-Severi model of a single human sinus node cell.In the Fabbri-Severi model, the experimentally observed effects on If increased the cycle length from 813 to 1004 ms, corresponding with a 19% decrease in beating rate from 74 to 60 beats/min. These mutation effects became more prominent at 10 nM ACh (vagal tone) and in the presence of a hyperpolarizing atrial load.We conclude that the experimentally identified mutation-induced changes in If can explain the clinically observed sinus bradycardia in carriers of the A414G mutation in the HCN4 gene.","PeriodicalId":6697,"journal":{"name":"2019 Computing in Cardiology (CinC)","volume":"18 1","pages":"1-4"},"PeriodicalIF":0.0,"publicationDate":"2019-09-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"75215605","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Pub Date : 2019-09-01DOI: 10.23919/CinC49843.2019.9005854
Sasan Yazdani, Alexandre Cherqui, N. Bourdillon, G. Millet, J. Vesin
The aim of this work is to investigate the relation between a phenomenon called "U-patterns" and their possible correlation to movement events in the context of sleep deprivation. U-patterns take place in the RR-interval time series during sleep. As their name suggests, these patterns present a U-shaped decrease-increase in RR-intervals, with a duration lasting from 20 to 40 seconds together with a minimum decrease of 15% in the local RR mean value.Over a span of 17 days, 15 healthy subjects (7males, 22.1 ± 1.7 yrs.) participated in a study of three subsequent stages. First, a baseline phase of seven days, during which the subjects slept normally. Immediately after, a sleep deprivation phase with a duration of three days, during which participants slept only three hours per night. Finally, in a 7-day recovery phase subjects went back to their normal baseline sleeping routine. Subjects underwent polysomnography (PSG) data acquisition while sleeping. U-patterns were extracted from RR-intervals while movement events were extracted from different PSG channels. Their relative temporal layout was studied to determine whether U-patterns are caused due to subject movement during sleep or vice versa. Results show that U-pattern/movement events are correlated, always initiated by U-patterns with movement events terminating before the termination of their respective U-patterns.
{"title":"Sleep RR-Interval U-Patterns and Their Correlation to Movement Events","authors":"Sasan Yazdani, Alexandre Cherqui, N. Bourdillon, G. Millet, J. Vesin","doi":"10.23919/CinC49843.2019.9005854","DOIUrl":"https://doi.org/10.23919/CinC49843.2019.9005854","url":null,"abstract":"The aim of this work is to investigate the relation between a phenomenon called \"U-patterns\" and their possible correlation to movement events in the context of sleep deprivation. U-patterns take place in the RR-interval time series during sleep. As their name suggests, these patterns present a U-shaped decrease-increase in RR-intervals, with a duration lasting from 20 to 40 seconds together with a minimum decrease of 15% in the local RR mean value.Over a span of 17 days, 15 healthy subjects (7males, 22.1 ± 1.7 yrs.) participated in a study of three subsequent stages. First, a baseline phase of seven days, during which the subjects slept normally. Immediately after, a sleep deprivation phase with a duration of three days, during which participants slept only three hours per night. Finally, in a 7-day recovery phase subjects went back to their normal baseline sleeping routine. Subjects underwent polysomnography (PSG) data acquisition while sleeping. U-patterns were extracted from RR-intervals while movement events were extracted from different PSG channels. Their relative temporal layout was studied to determine whether U-patterns are caused due to subject movement during sleep or vice versa. Results show that U-pattern/movement events are correlated, always initiated by U-patterns with movement events terminating before the termination of their respective U-patterns.","PeriodicalId":6697,"journal":{"name":"2019 Computing in Cardiology (CinC)","volume":"54 1","pages":"Page 1-Page 4"},"PeriodicalIF":0.0,"publicationDate":"2019-09-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"85458012","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Pub Date : 2019-09-01DOI: 10.23919/CinC49843.2019.9005884
W. Good, K. Gillette, J. Bergquist, B. Zenger, J. Tate, Lindsay C. Rupp, Devan Anderson, G. Plank, R. Macleod
Introduction: Changes in conduction velocity are indicative of a wide variety of cardiac abnormalities yet measuring conduction velocity is challenging, especially within the myocardial volume. In this study we investigated a novel technique to reconstruct activation fronts and estimate three-dimensional (3D) conduction velocity (CV) from experimental intramural recordings.Methods: From the intermittently sampled electrograms we both reconstruct the activation profile and compute the reciprocal of the gradient of activation times and a series of streamlines that allows for the CV estimation. Results: The reconstructed activation times agreed closely with simulated values, with 50% to 70% of the nodes ≤ 1ms of absolute error. We found close agreement between the CVs calculated using reconstructed versus simulated activation times. Across the reconstructed stimulation sites we saw that the reconstructed CV was on average 3.8% different than the ground truth CV. Discussion: This study used simulated datasets to validate our methods for reconstructing 3D activation fronts and estimating conduction velocities. Our results indicate that our method allows accurate reconstructions from sparse measurements, thus allowing us to examine changes in activation induced by experimental interventions such as acute ischemia, ectopic pacing, or drugs.
{"title":"Validation of Intramural Wavefront Reconstruction and Estimation of 3D Conduction Velocity","authors":"W. Good, K. Gillette, J. Bergquist, B. Zenger, J. Tate, Lindsay C. Rupp, Devan Anderson, G. Plank, R. Macleod","doi":"10.23919/CinC49843.2019.9005884","DOIUrl":"https://doi.org/10.23919/CinC49843.2019.9005884","url":null,"abstract":"Introduction: Changes in conduction velocity are indicative of a wide variety of cardiac abnormalities yet measuring conduction velocity is challenging, especially within the myocardial volume. In this study we investigated a novel technique to reconstruct activation fronts and estimate three-dimensional (3D) conduction velocity (CV) from experimental intramural recordings.Methods: From the intermittently sampled electrograms we both reconstruct the activation profile and compute the reciprocal of the gradient of activation times and a series of streamlines that allows for the CV estimation. Results: The reconstructed activation times agreed closely with simulated values, with 50% to 70% of the nodes ≤ 1ms of absolute error. We found close agreement between the CVs calculated using reconstructed versus simulated activation times. Across the reconstructed stimulation sites we saw that the reconstructed CV was on average 3.8% different than the ground truth CV. Discussion: This study used simulated datasets to validate our methods for reconstructing 3D activation fronts and estimating conduction velocities. Our results indicate that our method allows accurate reconstructions from sparse measurements, thus allowing us to examine changes in activation induced by experimental interventions such as acute ischemia, ectopic pacing, or drugs.","PeriodicalId":6697,"journal":{"name":"2019 Computing in Cardiology (CinC)","volume":"51 1","pages":"Page 1-Page 4"},"PeriodicalIF":0.0,"publicationDate":"2019-09-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"85756615","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
The automated 3D echocardiography segmentation on left ventricle (LV) is very important for clinical evaluation of LV function. However, the segmentation is difficult due to the 3D echocardiography’s challenges, such as the low signal-to-noise ratio, indistinguishable boundaries between LV and other heart substructures, and limited annotation data. This paper aims to propose a novel method to achieve accurate 3D echocardiography segmentation on LV, based on a weakly supervised deformable network. The deformation network was optimized by generative adversarial constraint and volume similarity constraint. The proposed framework was trained and validated on 3D echocardiography datasets which including 70 patients (35 train patients and 35 test patients). The results demonstrated the proposed method is relatively accurate and has potential for further research and application.
{"title":"Weakly Supervised Deformation Network for 3D Echocardiography Segmentation on Left Ventricle","authors":"Suyu Dong, Gongning Luo, Naren Wulan, Shaodong Cao, Kuanquan Wang, Henggui Zhang","doi":"10.23919/CinC49843.2019.9005792","DOIUrl":"https://doi.org/10.23919/CinC49843.2019.9005792","url":null,"abstract":"The automated 3D echocardiography segmentation on left ventricle (LV) is very important for clinical evaluation of LV function. However, the segmentation is difficult due to the 3D echocardiography’s challenges, such as the low signal-to-noise ratio, indistinguishable boundaries between LV and other heart substructures, and limited annotation data. This paper aims to propose a novel method to achieve accurate 3D echocardiography segmentation on LV, based on a weakly supervised deformable network. The deformation network was optimized by generative adversarial constraint and volume similarity constraint. The proposed framework was trained and validated on 3D echocardiography datasets which including 70 patients (35 train patients and 35 test patients). The results demonstrated the proposed method is relatively accurate and has potential for further research and application.","PeriodicalId":6697,"journal":{"name":"2019 Computing in Cardiology (CinC)","volume":"27 1","pages":"1-5"},"PeriodicalIF":0.0,"publicationDate":"2019-09-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"82791111","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
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