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

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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

Cardiomyopathy is the leading cause of mortality in boys with Duchenne muscular dystrophy (DMD). Left ventricular (LV) peak mid-wall circumferential strain (E_cc) 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 E_cc, 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 E_cc derived from cine DENSE in DMD patients (N = 10) and age-and sex-matched controls (N = 10). Global and regional E_cc 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 E_cc was 0.01 for the intra-observer comparison, which is below the previously reported yearly decrease of 0.013 ± 0.015 in E_cc in DMD patients.

心肌病是男孩杜氏肌营养不良症(DMD)死亡的主要原因。左心室(LV)峰值中壁周向应变(Ecc)是一个敏感的早期生物标志物，用于评估儿童DMD患者心肌病的微妙和可变发病和进展。Cine Displacement Encoding with stimulation Echoes (DENSE)已被证明对Ecc的变化敏感，但其可重复性尚未在儿科队列或DMD队列中报道。目的是量化DMD患者(N = 10)和年龄和性别匹配的对照组(N = 10)中cine DENSE获得的全局和区域Ecc的观察者内可重复性、检查内和观察者间可重复性。在测试内部、观察者内部和观察者之间的比较中，全球和区域的Ecc测量被认为是可重复的。观察者内部的重复性最高，其次是检查内部的重复性，然后是观察者之间的重复性。在观察者内比较中，最小可检测到的Ecc变化为0.01，低于先前报道的DMD患者Ecc年下降0.013±0.015。

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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

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.

患者特异性左心室(LV)心肌模型有潜力用于各种临床场景，以改进诊断和治疗计划。心脏磁共振成像(MR)提供高分辨率的图像来重建患者特定的左室心肌几何模型。随着深度学习的出现，从电影心脏MR图像中准确分割心脏腔室，以及在大量图像数据集上进行图像配准以估计心脏运动的无监督学习成为可能。在这里，我们提出了一个基于深度学习的框架，用于从电影心脏MR图像中开发患者特定的左室心肌几何模型，使用自动心脏诊断挑战(ACDC)数据集。我们使用基于voxelmorphs的卷积神经网络(CNN)估计的变形场，将舒张末期(ED)帧的等面网格和体积网格传播到心脏周期的后续帧。我们评估了基于cnn的传播模型与每个心脏阶段的分割模型，以及使用另一种传统的非刚性图像配准技术传播的模型。此外，我们使用基于log barrier的网格扭曲(LBWARP)方法在心脏周期的各个阶段生成动态左室心肌体积网格，并将其与cnn传播的体积网格进行比较。

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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

Model-Assisted Time-Synchronization of Cardiac MR Image and Catheter Pressure Data 模型辅助心脏MR图像和导管压力数据的时间同步

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_35

M. Gusseva, Joshua S. Greer, D. Castellanos, Mohamed Abdelghafar Hussein, G. Greil, S. Reddy, T. Hussain, D. Chapelle, R. Chabiniok

引用次数: 2

Parameter Estimation in a Rule-Based Fiber Orientation Model from End Systolic Strains Using the Reduced Order Unscented Kalman Filter 用降阶无气味卡尔曼滤波估计基于规则的纤维收缩末应变方向模型参数

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_33

L. Barbarotta, P. Bovendeerd

引用次数: 0

On the Interrelationship Between Left Ventricle Infarction Geometry and Ischemic Mitral Regurgitation Grade 左心室梗死几何形态与缺血性二尖瓣返流分级的关系

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_41

Hao Liu, Harshita Narang, R. Gorman, J. Gorman, M. Sacks

引用次数: 1

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