Functional imaging and modeling of the heart : ... International Workshop, FIMH ..., proceedings. FIMH最新文献_第9页

Simultaneous Multi-Heartbeat ECGI Solution with a Time-Varying Forward Model: a Joint Inverse Formulation. 采用时变前向模型的同步多心跳心电图成像解决方案：联合逆推算法

Functional imaging and modeling of the heart : ... International Workshop, FIMH ..., proceedings. FIMH Pub Date : 2021-06-01 Epub Date: 2021-06-18 DOI: 10.1007/978-3-030-78710-3_47

Jake A Bergquist, Jaume Coll-Font, Brian Zenger, Lindsay C Rupp, Wilson W Good, Dana H Brooks, Rob S MacLeod

{"title":"Simultaneous Multi-Heartbeat ECGI Solution with a Time-Varying Forward Model: a Joint Inverse Formulation.","authors":"Jake A Bergquist, Jaume Coll-Font, Brian Zenger, Lindsay C Rupp, Wilson W Good, Dana H Brooks, Rob S MacLeod","doi":"10.1007/978-3-030-78710-3_47","DOIUrl":"10.1007/978-3-030-78710-3_47","url":null,"abstract":"Electrocardiographic imaging (ECGI) is an effective tool for noninvasive diagnosis of a range of cardiac dysfunctions. ECGI leverages a model of how cardiac bioelectric sources appear on the torso surface (the forward problem) and uses recorded body surface potential signals to reconstruct the bioelectric source (the inverse problem). Solutions to the inverse problem are sensitive to noise and variations in the body surface potential (BSP) recordings such as those caused by changes or errors in cardiac position. Techniques such as signal averaging seek to improve ECGI solutions by incorporating BSP signals from multiple heartbeats into an averaged BSP with a higher SNR to use when estimating the cardiac bioelectric source. However, signal averaging is limited when it comes to addressing sources of BSP variability such as beat to beat differences in the forward solution. We present a novel joint inverse formulation to solve for the cardiac source given multiple BSP recordings and known changes in the forward solution, here changes in the heart position. We report improved ECGI accuracy over signal averaging and averaged individual inverse solutions using this joint inverse formulation across multiple activation sequence types and regularization techniques with measured canine data and simulated heart motion. Our joint inverse formulation builds upon established techniques and consequently can easily be applied with many existing regularization techniques, source models, and forward problem formulations.","PeriodicalId":73120,"journal":{"name":"Functional imaging and modeling of the heart : ... International Workshop, FIMH ..., proceedings. FIMH","volume":" ","pages":"493-502"},"PeriodicalIF":0.0,"publicationDate":"2021-06-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8385662/pdf/nihms-1734228.pdf","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"39357211","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 0

M-SiSSR: Regional Endocardial Function Using Multilabel Simultaneous Subdivision Surface Registration. M-SiSSR：使用多标记同步细分表面注册的区域心内膜功能。

Functional imaging and modeling of the heart : ... International Workshop, FIMH ..., proceedings. FIMH Pub Date : 2021-06-01 Epub Date: 2021-06-18 DOI: 10.1007/978-3-030-78710-3_24

Davis M Vigneault, Francisco Contijoch, Christopher P Bridge, Katherine Lowe, Chelsea Jan, Elliot R McVeigh

引用次数: 0

A High-Fidelity 3D Micromechanical Model of Ventricular Myocardium. 一种高保真心室心肌三维显微力学模型。

Functional imaging and modeling of the heart : ... International Workshop, FIMH ..., proceedings. FIMH Pub Date : 2021-06-01 Epub Date: 2021-06-18 DOI: 10.1007/978-3-030-78710-3_17

David S Li, Emilio A Mendiola, Reza Avazmohammadi, Frank B Sachse, Michael S Sacks

{"title":"A High-Fidelity 3D Micromechanical Model of Ventricular Myocardium.","authors":"David S Li, Emilio A Mendiola, Reza Avazmohammadi, Frank B Sachse, Michael S Sacks","doi":"10.1007/978-3-030-78710-3_17","DOIUrl":"https://doi.org/10.1007/978-3-030-78710-3_17","url":null,"abstract":"Pulmonary arterial hypertension (PAH) imposes a pressure overload on the right ventricle (RV), leading to myofiber hypertrophy and remodeling of the extracellular collagen fiber network. While the macroscopic behavior of healthy and post-PAH RV free wall (RVFW) tissue has been studied previously, the mechanical microenvironment that drives remodeling events in the myofibers and the extracellular matrix (ECM) remains largely unexplored. We hypothesize that multiscale computational modeling of the heart, linking cellular-scale events to tissue-scale behavior, can improve our understanding of cardiac remodeling and better identify therapeutic targets. We have developed a high-fidelity microanatomically realistic model of ventricular myocardium, combining confocal microscopy techniques, soft tissue mechanics, and finite element modeling. We match our microanatomical model to the tissue-scale mechanical response of previous studies on biaxial properties of RVFW and examine the local myofiber-ECM interactions to study fiber-specific mechanics at the scale of individual myofibers. Through this approach, we determine that the interactions occurring at the tissue scale can be accounted for by accurately representing the geometry of the myofiber-collagen arrangement at the micro scale. Ultimately, models such as these can be used to link cellular-level adaptations with organ-level adaptations to lead to the development of patient-specific treatments for PAH.","PeriodicalId":73120,"journal":{"name":"Functional imaging and modeling of the heart : ... International Workshop, FIMH ..., proceedings. FIMH","volume":" ","pages":"168-177"},"PeriodicalIF":0.0,"publicationDate":"2021-06-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8341397/pdf/nihms-1726677.pdf","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"39292510","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 2

Reproducibility of Left Ventricular CINE DENSE Strain in Pediatric Subjects with Duchenne Muscular Dystrophy. 杜氏肌营养不良儿童左心室CINE致密应变的再现性。

Functional imaging and modeling of the heart : ... International Workshop, FIMH ..., proceedings. FIMH Pub Date : 2021-06-01 DOI: 10.1007/978-3-030-78710-3_23

Zhan-Qiu Liu, Nyasha G Maforo, Pierangelo Renella, Nancy Halnon, Holden H Wu, Daniel B Ennis

{"title":"Reproducibility of Left Ventricular CINE DENSE Strain in Pediatric Subjects with Duchenne Muscular Dystrophy.","authors":"Zhan-Qiu Liu, Nyasha G Maforo, Pierangelo Renella, Nancy Halnon, Holden H Wu, Daniel B Ennis","doi":"10.1007/978-3-030-78710-3_23","DOIUrl":"https://doi.org/10.1007/978-3-030-78710-3_23","url":null,"abstract":"Cardiomyopathy is the leading cause of mortality in boys with Duchenne muscular dystrophy (DMD). Left ventricular (LV) peak mid-wall circumferential strain (Ecc) is a sensitive early biomarker for evaluating both the subtle and variable onset and the progression of cardiomyopathy in pediatric subjects with DMD. Cine Displacement Encoding with Stimulated Echoes (DENSE) has proven sensitive to changes in Ecc, but its reproducibility has not been reported in a pediatric cohort or a DMD cohort. The objective was to quantify the intra-observer repeatability, and intra-exam and inter-observer reproducibility of global and regional Ecc derived from cine DENSE in DMD patients (N = 10) and age-and sex-matched controls (N = 10). Global and regional Ecc measures were considered reproducible in the intra-exam, intra-observer, and inter-observer comparisons. Intra-observer repeatability was highest, followed by intra-exam reproducibility and then inter-observer reproducibility. The smallest detectable change in Ecc was 0.01 for the intra-observer comparison, which is below the previously reported yearly decrease of 0.013 ± 0.015 in Ecc in DMD patients.","PeriodicalId":73120,"journal":{"name":"Functional imaging and modeling of the heart : ... International Workshop, FIMH ..., proceedings. FIMH","volume":"12738 ","pages":"232-241"},"PeriodicalIF":0.0,"publicationDate":"2021-06-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10022706/pdf/nihms-1836552.pdf","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"9149869","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 1

CNN-Based Cardiac Motion Extraction to Generate Deformable Geometric Left Ventricle Myocardial Models from Cine MRI. 基于cnn的心脏运动提取，生成可变形几何左心室心肌模型。

Functional imaging and modeling of the heart : ... International Workshop, FIMH ..., proceedings. FIMH Pub Date : 2021-06-01 DOI: 10.1007/978-3-030-78710-3_25

Roshan Reddy Upendra, Brian Jamison Wentz, Richard Simon, Suzanne M Shontz, Cristian A Linte

{"title":"CNN-Based Cardiac Motion Extraction to Generate Deformable Geometric Left Ventricle Myocardial Models from Cine MRI.","authors":"Roshan Reddy Upendra, Brian Jamison Wentz, Richard Simon, Suzanne M Shontz, Cristian A Linte","doi":"10.1007/978-3-030-78710-3_25","DOIUrl":"https://doi.org/10.1007/978-3-030-78710-3_25","url":null,"abstract":"Patient-specific left ventricle (LV) myocardial models have the potential to be used in a variety of clinical scenarios for improved diagnosis and treatment plans. Cine cardiac magnetic resonance (MR) imaging provides high resolution images to reconstruct patient-specific geometric models of the LV myocardium. With the advent of deep learning, accurate segmentation of cardiac chambers from cine cardiac MR images and unsupervised learning for image registration for cardiac motion estimation on a large number of image datasets is attainable. Here, we propose a deep leaning-based framework for the development of patient-specific geometric models of LV myocardium from cine cardiac MR images, using the Automated Cardiac Diagnosis Challenge (ACDC) dataset. We use the deformation field estimated from the VoxelMorph-based convolutional neural network (CNN) to propagate the isosurface mesh and volume mesh of the end-diastole (ED) frame to the subsequent frames of the cardiac cycle. We assess the CNN-based propagated models against segmented models at each cardiac phase, as well as models propagated using another traditional nonrigid image registration technique. Additionally, we generate dynamic LV myocardial volume meshes at all phases of the cardiac cycle using the log barrier-based mesh warping (LBWARP) method and compare them with the CNN-propagated volume meshes.","PeriodicalId":73120,"journal":{"name":"Functional imaging and modeling of the heart : ... International Workshop, FIMH ..., proceedings. FIMH","volume":"12738 ","pages":"253-263"},"PeriodicalIF":0.0,"publicationDate":"2021-06-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10198131/pdf/nihms-1899917.pdf","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"9864805","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 5

Three-Dimensional Embedded Attentive RNN (3D-EAR) Segmentor for Left Ventricle Delineation from Myocardial Velocity Mapping 三维嵌入式专注RNN (3D-EAR)分割器从心肌速度图中描绘左心室

Functional imaging and modeling of the heart : ... International Workshop, FIMH ..., proceedings. FIMH Pub Date : 2021-04-26 DOI: 10.1007/978-3-030-78710-3_6

Mengmeng Kuang, Yinzhe Wu, D. Alonso-'Alvarez, D. Firmin, J. Keegan, P. Gatehouse, Guang-Zhong Yang

引用次数: 2

Efficient Model Monitoring for Quality Control in Cardiac Image Segmentation 基于模型监测的心脏图像分割质量控制

Functional imaging and modeling of the heart : ... International Workshop, FIMH ..., proceedings. FIMH Pub Date : 2021-04-12 DOI: 10.1007/978-3-030-78710-3_11

Francesco Galati, Maria A. Zuluaga

引用次数: 9

Quantitative Hemodynamics in Aortic Dissection: Comparing in Vitro MRI with FSI Simulation in a Compliant Model 主动脉夹层定量血流动力学:体外MRI与FSI模拟在顺应模型中的比较

Functional imaging and modeling of the heart : ... International Workshop, FIMH ..., proceedings. FIMH Pub Date : 2021-02-25 DOI: 10.1007/978-3-030-78710-3_55

Judith Zimmermann, Kathrin Baeumler, M. Loecher, T. Cork, Fikunwa O. Kolawole, Kyle Gifford, A. Marsden, D. Fleischmann, D. Ennis

引用次数: 5

The Role of Extra-Coronary Vascular Conditions that Affect Coronary Fractional Flow Reserve Estimation 冠状动脉外血管状况对冠状动脉血流储备的影响

Functional imaging and modeling of the heart : ... International Workshop, FIMH ..., proceedings. FIMH Pub Date : 2021-01-01 DOI: 10.1007/978-3-030-78710-3_57

Jermiah J. Joseph, Ting-Yim Lee, D. Goldman, C. McIntyre, S. Kharche

引用次数: 2

Spiral Waves Generation Using an Eikonal-Reaction Cardiac Electrophysiology Model 利用eikonal反应心脏电生理模型产生螺旋波

Functional imaging and modeling of the heart : ... International Workshop, FIMH ..., proceedings. FIMH Pub Date : 2021-01-01 DOI: 10.1007/978-3-030-78710-3_50

Narimane Gassa, N. Zemzemi, C. Corrado, Y. Coudière

引用次数: 3