Pub Date : 2002-09-22DOI: 10.1109/CIC.2002.1166775
R. Bailón, S. Olmos, P. Serrano, J. García, P. Laguna
In stress test ECG analysis, the so-called ST/HR hysteresis has recently been suggested to improve coronary artery disease (CAD) diagnosis. This parameter is estimated from the ST versus HR diagram including exercise and recovery phases. Unluckily, ST measurements are adversely affected by noise during the test. In this study we propose a method to automatically estimate the ST/HR hysteresis, incorporating multiple stage noise attenuation. The method is based on averaging and rejection of noisy beats. Evaluation is done on simulated exercise test recordings, constructed from real ECG averaged beats adding actual noise from stress test records. Results on a total of 216 different records, with RMS noise levels ranging from 114 to 979 /spl mu/V, give a reduction in estimation error in the ST/HR diagram of 77.98% (from 168 to 37 /spl mu/V) in mean and of 76.38% (from 271 to 63 /spl mu/V) in standard deviation. This method may be considered as a suitable and robust tool for reliable ST/HR hysteresis estimation.
{"title":"Robust measure of ST/HR hysteresis in stress test ECG recordings","authors":"R. Bailón, S. Olmos, P. Serrano, J. García, P. Laguna","doi":"10.1109/CIC.2002.1166775","DOIUrl":"https://doi.org/10.1109/CIC.2002.1166775","url":null,"abstract":"In stress test ECG analysis, the so-called ST/HR hysteresis has recently been suggested to improve coronary artery disease (CAD) diagnosis. This parameter is estimated from the ST versus HR diagram including exercise and recovery phases. Unluckily, ST measurements are adversely affected by noise during the test. In this study we propose a method to automatically estimate the ST/HR hysteresis, incorporating multiple stage noise attenuation. The method is based on averaging and rejection of noisy beats. Evaluation is done on simulated exercise test recordings, constructed from real ECG averaged beats adding actual noise from stress test records. Results on a total of 216 different records, with RMS noise levels ranging from 114 to 979 /spl mu/V, give a reduction in estimation error in the ST/HR diagram of 77.98% (from 168 to 37 /spl mu/V) in mean and of 76.38% (from 271 to 63 /spl mu/V) in standard deviation. This method may be considered as a suitable and robust tool for reliable ST/HR hysteresis estimation.","PeriodicalId":80984,"journal":{"name":"Computers in cardiology","volume":"1 1","pages":"329-332"},"PeriodicalIF":0.0,"publicationDate":"2002-09-22","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://sci-hub-pdf.com/10.1109/CIC.2002.1166775","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"62181173","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 : 2002-09-22DOI: 10.1109/CIC.2002.1166801
Olivier Meste, G. Blain, S. Bermon
The analysis of heart period series is a difficult task especially under graded exercise conditions. Among all the information present in these series, we are more interested in the coupling between respiratory and cardiac systems, known as respiratory sinus arrythmia. We show in this work that from the heart period series precise patterns concerning the respiratory frequency can be extracted. Evolutive model is introduced in order to achieve the tracking of the main frequencies and their time-varying power.
{"title":"Analysis of the respiratory and cardiac systems coupling in pyramidal exercise using a time-varying model","authors":"Olivier Meste, G. Blain, S. Bermon","doi":"10.1109/CIC.2002.1166801","DOIUrl":"https://doi.org/10.1109/CIC.2002.1166801","url":null,"abstract":"The analysis of heart period series is a difficult task especially under graded exercise conditions. Among all the information present in these series, we are more interested in the coupling between respiratory and cardiac systems, known as respiratory sinus arrythmia. We show in this work that from the heart period series precise patterns concerning the respiratory frequency can be extracted. Evolutive model is introduced in order to achieve the tracking of the main frequencies and their time-varying power.","PeriodicalId":80984,"journal":{"name":"Computers in cardiology","volume":"1 1","pages":"429-432"},"PeriodicalIF":0.0,"publicationDate":"2002-09-22","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://sci-hub-pdf.com/10.1109/CIC.2002.1166801","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"62181530","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 : 2002-09-22DOI: 10.1109/CIC.2002.1166820
L. Xia, M. Huo, F. Liu
Using mathematical modeling method, this paper investigates the interactions between electrical conduction and mechanical function in the ischemia or infarcted ventricle. The influence of electrical asynchrony on regional mechanics of the ventricle is simulated based on electromechanical heart models. Regional deformation, strain and stress are calculated during systole phase. The preliminary results show that considerable disruption of the contraction pattern occurs in the near ischemic zone, the minimum principal strains in local infarction regions were significantly smaller than those in corresponding regions of the normal heart, while the stresses are larger than those of normal tissues. The simulated results are compared with dog experiments and solutions obtained in the literature. This simulation suggests that such coupled heart models can be used to assess the mechanical function of the ventricle with diseases such as myocardial ischemic or infarction.
{"title":"The simulation study of the influence of electrical asynchrony on regional mechanics of the ischemic ventricle using electromechanical heart models","authors":"L. Xia, M. Huo, F. Liu","doi":"10.1109/CIC.2002.1166820","DOIUrl":"https://doi.org/10.1109/CIC.2002.1166820","url":null,"abstract":"Using mathematical modeling method, this paper investigates the interactions between electrical conduction and mechanical function in the ischemia or infarcted ventricle. The influence of electrical asynchrony on regional mechanics of the ventricle is simulated based on electromechanical heart models. Regional deformation, strain and stress are calculated during systole phase. The preliminary results show that considerable disruption of the contraction pattern occurs in the near ischemic zone, the minimum principal strains in local infarction regions were significantly smaller than those in corresponding regions of the normal heart, while the stresses are larger than those of normal tissues. The simulated results are compared with dog experiments and solutions obtained in the literature. This simulation suggests that such coupled heart models can be used to assess the mechanical function of the ventricle with diseases such as myocardial ischemic or infarction.","PeriodicalId":80984,"journal":{"name":"Computers in cardiology","volume":"1 1","pages":"505-508"},"PeriodicalIF":0.0,"publicationDate":"2002-09-22","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://sci-hub-pdf.com/10.1109/CIC.2002.1166820","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"62181558","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 : 2002-09-22DOI: 10.1109/CIC.2002.1166805
L. R. Davrath, Y. Goren, I. Pinhas, D. David, S. Akselrod
Hypertension affects approximately 25% of adults in industrialized countries and contributes significantly to morbidity and mortality from cardiovascular diseases. Young adult, normotensive offspring of one hypertensive parent (KHT, n = 12) and normotensive offspring of two normotensive parents (YN, n = 14) participated ECG, continuous blood pressure, and respiration were recorded Time-frequency decomposition of these signals was performed by a Continuous Wavelet Transform. During change in posture (CP), KHT demonstrated a significantly greater increase in the low frequency fluctuations in heart rate (HR) than YN, indicating enhanced sympathetic involvement in the HR response to CP. Upon recovery from Handgrip, vagal reactivation was more sluggish in KHT These results indicate possible malfunctions in both branches of autonomic control in individuals at increased risk of hypertension.
在工业化国家，高血压影响约25%的成年人，是心血管疾病发病率和死亡率的重要因素。记录年轻成人、双亲中一人血压正常的后代(KHT, n = 12)和双亲中一人血压正常的后代(YN, n = 14)的心电图、连续血压和呼吸信号，采用连续小波变换对这些信号进行时频分解。在体位改变(CP)过程中，KHT表现出比YN更大的低频心率波动(HR)增加，表明交感神经参与对CP的HR反应增强。从握力恢复后，KHT的迷走神经再激活更缓慢，这些结果表明高血压风险增加的个体自主控制的两个分支可能出现故障。
{"title":"Early detection of essential hypertension by time-frequency analysis","authors":"L. R. Davrath, Y. Goren, I. Pinhas, D. David, S. Akselrod","doi":"10.1109/CIC.2002.1166805","DOIUrl":"https://doi.org/10.1109/CIC.2002.1166805","url":null,"abstract":"Hypertension affects approximately 25% of adults in industrialized countries and contributes significantly to morbidity and mortality from cardiovascular diseases. Young adult, normotensive offspring of one hypertensive parent (KHT, n = 12) and normotensive offspring of two normotensive parents (YN, n = 14) participated ECG, continuous blood pressure, and respiration were recorded Time-frequency decomposition of these signals was performed by a Continuous Wavelet Transform. During change in posture (CP), KHT demonstrated a significantly greater increase in the low frequency fluctuations in heart rate (HR) than YN, indicating enhanced sympathetic involvement in the HR response to CP. Upon recovery from Handgrip, vagal reactivation was more sluggish in KHT These results indicate possible malfunctions in both branches of autonomic control in individuals at increased risk of hypertension.","PeriodicalId":80984,"journal":{"name":"Computers in cardiology","volume":"1 1","pages":"445-448"},"PeriodicalIF":0.0,"publicationDate":"2002-09-22","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://sci-hub-pdf.com/10.1109/CIC.2002.1166805","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"62181593","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 : 2002-09-22DOI: 10.1109/CIC.2002.1166699
P. Langley, M. Stridh, J. J. Rieta, L. Sornmo, J. Millet-Roig, A. Murray
One of the greatest challenges in analysis of the atrial rhythm from the ECG is to distinguish the atrial component from the large ventricular components. Our aim was to compare three techniques of atrial rhythm extraction from three groups working on this problem. 12-lead ECG data from 7 patients in atrial fibrillation were analysed. For extraction of the atrial rhythm, spatiotemporal QRST cancellation was performed by the Lund group, blind source separation by the Valencia group, and principal component analysis by the Newcastle group. Peak atrial frequency was determined by Fourier transform of the signal with the largest atrial activity. All algorithms were successful in distinguishing the atrial rhythm from the low frequency ventricular rhythm. The mean (range) atrial frequency was 6.5 (5.9 7.6) Hz (Lund), 6.7 (5.7 - 7.9) Hz (Valencia) and 6.5 (5.9 - 8.2) Hz (Newcastle). There were no significant differences between the atrial frequencies estimated by each of the techniques.
{"title":"Comparison of atrial rhythm extraction techniques for the estimation of the main atrial frequency from the 12-lead electrocardiogram in atrial fibrillation","authors":"P. Langley, M. Stridh, J. J. Rieta, L. Sornmo, J. Millet-Roig, A. Murray","doi":"10.1109/CIC.2002.1166699","DOIUrl":"https://doi.org/10.1109/CIC.2002.1166699","url":null,"abstract":"One of the greatest challenges in analysis of the atrial rhythm from the ECG is to distinguish the atrial component from the large ventricular components. Our aim was to compare three techniques of atrial rhythm extraction from three groups working on this problem. 12-lead ECG data from 7 patients in atrial fibrillation were analysed. For extraction of the atrial rhythm, spatiotemporal QRST cancellation was performed by the Lund group, blind source separation by the Valencia group, and principal component analysis by the Newcastle group. Peak atrial frequency was determined by Fourier transform of the signal with the largest atrial activity. All algorithms were successful in distinguishing the atrial rhythm from the low frequency ventricular rhythm. The mean (range) atrial frequency was 6.5 (5.9 7.6) Hz (Lund), 6.7 (5.7 - 7.9) Hz (Valencia) and 6.5 (5.9 - 8.2) Hz (Newcastle). There were no significant differences between the atrial frequencies estimated by each of the techniques.","PeriodicalId":80984,"journal":{"name":"Computers in cardiology","volume":"1 1","pages":"29-32"},"PeriodicalIF":0.0,"publicationDate":"2002-09-22","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://sci-hub-pdf.com/10.1109/CIC.2002.1166699","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"62179539","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 : 2002-09-22DOI: 10.1109/CIC.2002.1166702
L. Widesott, L. Bernardi, R. Furlan, L. Diedrich, R. Antolini, G. Nollo, A. Diedrich
The dynamic response to sinusoidal neck suction, of the RR interval, systolic arterial blood pressure and muscle sympathetic nerve activity series, was studied in 10 controls and 5 patients with orthostatic intolerance. By using different spectral techniques (autoregressive, short time Fourier transformation), the cardiovascular and MSNA variability were analyzed during 0.1 Hz and 0.2 Hz frequency of neck suction. Moreover, by using the autoregressive model, a quantitative analysis of particular power spectral frequency bands was done. Finally, a chirp neck suction input signal was applied to qualitatively compare the frequency response. The patients with orthostatic intolerance showed a partial blood pressure response to NS, particularly over 0.1 Hz compared to controls.
{"title":"Cardiovascular response to sinusoidal neck suction in healthy volunteers and orthostatic intolerance patients","authors":"L. Widesott, L. Bernardi, R. Furlan, L. Diedrich, R. Antolini, G. Nollo, A. Diedrich","doi":"10.1109/CIC.2002.1166702","DOIUrl":"https://doi.org/10.1109/CIC.2002.1166702","url":null,"abstract":"The dynamic response to sinusoidal neck suction, of the RR interval, systolic arterial blood pressure and muscle sympathetic nerve activity series, was studied in 10 controls and 5 patients with orthostatic intolerance. By using different spectral techniques (autoregressive, short time Fourier transformation), the cardiovascular and MSNA variability were analyzed during 0.1 Hz and 0.2 Hz frequency of neck suction. Moreover, by using the autoregressive model, a quantitative analysis of particular power spectral frequency bands was done. Finally, a chirp neck suction input signal was applied to qualitatively compare the frequency response. The patients with orthostatic intolerance showed a partial blood pressure response to NS, particularly over 0.1 Hz compared to controls.","PeriodicalId":80984,"journal":{"name":"Computers in cardiology","volume":"1 1","pages":"41-44"},"PeriodicalIF":0.0,"publicationDate":"2002-09-22","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://sci-hub-pdf.com/10.1109/CIC.2002.1166702","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"62179691","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 : 2002-09-22DOI: 10.1109/CIC.2002.1166720
J. Klingensmith, A. Nair, B. Kuban, D. Vince
Intravascular ultrasound provides precise tomographic assessment of coronary artery disease, allowing unique potential for analysis of both plaque geometry and composition, two critical factors related to the likelihood of plaque rupture. A novel three-dimensional segmentation technique and spectral analysis are used to create a unique tool for volumetric assessment of plaque composition. The semi-automated 3D segmentation technique was used to identify luminal and medial-adventitial borders in ECG-gated images created from radiofrequency (RF) IVUS data acquired during automated pullbacks in patients. Spectral analysis was applied to the RF data within the segmented plaque. Color-coded pseudo-histology images were created from these plaque component predictions using statistical classification trees. Quantitative analysis and visualization techniques were used to assess volumetric plaque composition and provide a unique tool for evaluation of plaque vulnerability.
{"title":"Volumetric coronary plaque composition using intravascular ultrasound: three-dimensional segmentation and spectral analysis","authors":"J. Klingensmith, A. Nair, B. Kuban, D. Vince","doi":"10.1109/CIC.2002.1166720","DOIUrl":"https://doi.org/10.1109/CIC.2002.1166720","url":null,"abstract":"Intravascular ultrasound provides precise tomographic assessment of coronary artery disease, allowing unique potential for analysis of both plaque geometry and composition, two critical factors related to the likelihood of plaque rupture. A novel three-dimensional segmentation technique and spectral analysis are used to create a unique tool for volumetric assessment of plaque composition. The semi-automated 3D segmentation technique was used to identify luminal and medial-adventitial borders in ECG-gated images created from radiofrequency (RF) IVUS data acquired during automated pullbacks in patients. Spectral analysis was applied to the RF data within the segmented plaque. Color-coded pseudo-histology images were created from these plaque component predictions using statistical classification trees. Quantitative analysis and visualization techniques were used to assess volumetric plaque composition and provide a unique tool for evaluation of plaque vulnerability.","PeriodicalId":80984,"journal":{"name":"Computers in cardiology","volume":"1 1","pages":"113-116"},"PeriodicalIF":0.0,"publicationDate":"2002-09-22","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://sci-hub-pdf.com/10.1109/CIC.2002.1166720","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"62179956","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 : 2002-09-22DOI: 10.1109/CIC.2002.1166730
S. Mohammad, A. Sureka, D.R. Ely, J. Jenkins
A Visual Software Development Framework (VSDF) has been created to facilitate the software coding process of biological signal analysis. A special purpose graphical user interface (GUI) was developed using VSDF for automating the analysis and classification of waveforms in electrocardiographic (ECG) data. Graphing capabilities were included in the program to allow the user to plot the signal as well as trigger location. Object Oriented Programming (OOP) techniques were used in the Java programming language to calculate correlation coefficients between a template QRS complex and detected QRS complexes throughout an ECG recording. The OOP techniques employed in the development of the software package allow visualization of the entire analysis process. The ECG signal, read from a file, is stored into a simple array data structure and is passed to each of the modules. The signals and systems approach allows incorporation of trigger modules, data conversion modules, and numerical analysis modules directly into the software package, providing ease of software design.
{"title":"A signals and systems and object oriented programming approach to development of ECG analysis software","authors":"S. Mohammad, A. Sureka, D.R. Ely, J. Jenkins","doi":"10.1109/CIC.2002.1166730","DOIUrl":"https://doi.org/10.1109/CIC.2002.1166730","url":null,"abstract":"A Visual Software Development Framework (VSDF) has been created to facilitate the software coding process of biological signal analysis. A special purpose graphical user interface (GUI) was developed using VSDF for automating the analysis and classification of waveforms in electrocardiographic (ECG) data. Graphing capabilities were included in the program to allow the user to plot the signal as well as trigger location. Object Oriented Programming (OOP) techniques were used in the Java programming language to calculate correlation coefficients between a template QRS complex and detected QRS complexes throughout an ECG recording. The OOP techniques employed in the development of the software package allow visualization of the entire analysis process. The ECG signal, read from a file, is stored into a simple array data structure and is passed to each of the modules. The signals and systems approach allows incorporation of trigger modules, data conversion modules, and numerical analysis modules directly into the software package, providing ease of software design.","PeriodicalId":80984,"journal":{"name":"Computers in cardiology","volume":"1 1","pages":"153-156"},"PeriodicalIF":0.0,"publicationDate":"2002-09-22","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://sci-hub-pdf.com/10.1109/CIC.2002.1166730","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"62180272","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 : 2002-09-22DOI: 10.1109/CIC.2002.1166747
R. Povinelli, F. M. Roberts, Michael T. Johnson, K. Ropella
A novel, nonlinear, phase space based method to quickly and accurately identify life-threatening arrhythmias is proposed. The accuracy of the proposed method in identifying sinus rhythm (SR), monomorphic ventricular tachycardia (MVT), polymorphic VT (PVT), and ventricular fibrillation (VF) for signals of at least 0.5 s duration was determined for six different ECG signal lengths. The ECG recordings were transformed into a phase space, and statistical features of the resulting attractors were learned using artificial neural networks. Classification accuracies for SR, MVT, PVT and VF were 93-96, 95-100, 79-91, and 81-88%, respectively. As expected, classification accuracy for the proposed method was essentially equivalent for ECG signals longer than 1 s. Surprisingly, classification accuracy for this new method did not degrade for 0.5 s ECG signals, indicating that even such short duration signals contain structures predictive of rhythm type. The phase space method's classification accuracy was higher for all segment durations compared to two other methods.
{"title":"Are nonlinear ventricular arrhythmia characteristics lost, as signal duration decreases?","authors":"R. Povinelli, F. M. Roberts, Michael T. Johnson, K. Ropella","doi":"10.1109/CIC.2002.1166747","DOIUrl":"https://doi.org/10.1109/CIC.2002.1166747","url":null,"abstract":"A novel, nonlinear, phase space based method to quickly and accurately identify life-threatening arrhythmias is proposed. The accuracy of the proposed method in identifying sinus rhythm (SR), monomorphic ventricular tachycardia (MVT), polymorphic VT (PVT), and ventricular fibrillation (VF) for signals of at least 0.5 s duration was determined for six different ECG signal lengths. The ECG recordings were transformed into a phase space, and statistical features of the resulting attractors were learned using artificial neural networks. Classification accuracies for SR, MVT, PVT and VF were 93-96, 95-100, 79-91, and 81-88%, respectively. As expected, classification accuracy for the proposed method was essentially equivalent for ECG signals longer than 1 s. Surprisingly, classification accuracy for this new method did not degrade for 0.5 s ECG signals, indicating that even such short duration signals contain structures predictive of rhythm type. The phase space method's classification accuracy was higher for all segment durations compared to two other methods.","PeriodicalId":80984,"journal":{"name":"Computers in cardiology","volume":"87 1","pages":"221-224"},"PeriodicalIF":0.0,"publicationDate":"2002-09-22","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://sci-hub-pdf.com/10.1109/CIC.2002.1166747","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"62180354","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 : 2002-09-22DOI: 10.1109/CIC.2002.1166741
L. Spreeuwers, F. Wierda, M. Breeuwer
Recent advances in Magnetic Resonance Imaging allow fast recording of contrast enhanced myocardial perfusion scans. MR perfusion scans are made by recording, during a period of 20-40 seconds a number of short-axis slices through the myocardium. For perfusion analysis, the myocardial boundaries must be traced, dividing the heart into the left and right ventricle blood volumes and the myocardium of the left ventricle. Extreme care must be taken not to include any part of the left or right ventricle blood volumes in the myocardium segment, because this has a significant effect on the perfusion analysis. On the other hand, for accurate estimation of the perfusion parameters, all available myocardium area in the image is required. In this paper a method is proposed to correct for any inclusion of left and right ventricle and optimally place the myocardial contours.
{"title":"Optimal myocardial boundary estimation for MR cardio perfusion measurements using sensitivity analysis","authors":"L. Spreeuwers, F. Wierda, M. Breeuwer","doi":"10.1109/CIC.2002.1166741","DOIUrl":"https://doi.org/10.1109/CIC.2002.1166741","url":null,"abstract":"Recent advances in Magnetic Resonance Imaging allow fast recording of contrast enhanced myocardial perfusion scans. MR perfusion scans are made by recording, during a period of 20-40 seconds a number of short-axis slices through the myocardium. For perfusion analysis, the myocardial boundaries must be traced, dividing the heart into the left and right ventricle blood volumes and the myocardium of the left ventricle. Extreme care must be taken not to include any part of the left or right ventricle blood volumes in the myocardium segment, because this has a significant effect on the perfusion analysis. On the other hand, for accurate estimation of the perfusion parameters, all available myocardium area in the image is required. In this paper a method is proposed to correct for any inclusion of left and right ventricle and optimally place the myocardial contours.","PeriodicalId":80984,"journal":{"name":"Computers in cardiology","volume":"1 1","pages":"197-200"},"PeriodicalIF":0.0,"publicationDate":"2002-09-22","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://sci-hub-pdf.com/10.1109/CIC.2002.1166741","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"62180649","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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