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

Deformable Image Registration Using Vision Transformers for Cardiac Motion Estimation from Cine Cardiac MRI Images. 利用视觉变换器进行可变形图像配准，从动态心脏核磁共振成像中估计心脏运动。

Functional imaging and modeling of the heart : ... International Workshop, FIMH ..., proceedings. FIMH Pub Date : 2023-06-01 Epub Date: 2023-06-16 DOI: 10.1007/978-3-031-35302-4_39

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

{"title":"Deformable Image Registration Using Vision Transformers for Cardiac Motion Estimation from Cine Cardiac MRI Images.","authors":"Roshan Reddy Upendra, Richard Simon, Suzanne M Shontz, Cristian A Linte","doi":"10.1007/978-3-031-35302-4_39","DOIUrl":"10.1007/978-3-031-35302-4_39","url":null,"abstract":"Accurate cardiac motion estimation is a crucial step in assessing the kinematic and contractile properties of the cardiac chambers, thereby directly quantifying the regional cardiac function, which plays an important role in understanding myocardial diseases and planning their treatment. Since the cine cardiac magnetic resonance imaging (MRI) provides dynamic, high-resolution 3D images of the heart that depict cardiac motion throughout the cardiac cycle, cardiac motion can be estimated by finding the optical flow representation between the consecutive 3D volumes from a 4D cine cardiac MRI dataset, thereby formulating it as an image registration problem. Therefore, we propose a hybrid convolutional neural network (CNN) and Vision Transformer (ViT) architecture for deformable image registration of 3D cine cardiac MRI images for consistent cardiac motion estimation. We compare the image registration results of our proposed method with those of the VoxelMorph CNN model and conventional B-spline free form deformation (FFD) non-rigid image registration algorithm. We conduct all our experiments on the open-source Automated Cardiac Diagnosis Challenge (ACDC) dataset. Our experiments show that the deformable image registration results obtained using the proposed method outperform the CNN model and the traditional FFD image registration method.","PeriodicalId":73120,"journal":{"name":"Functional imaging and modeling of the heart : ... International Workshop, FIMH ..., proceedings. FIMH","volume":null,"pages":null},"PeriodicalIF":0.0,"publicationDate":"2023-06-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.ncbi.nlm.nih.gov/pmc/articles/PMC11466156/pdf/","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"76723168","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

A Micro-anatomical Model of the Infarcted Left Ventricle Border Zone to Study the Influence of Collagen Undulation. 研究胶原褶皱影响的左心室梗死边界区微型解剖模型

Functional imaging and modeling of the heart : ... International Workshop, FIMH ..., proceedings. FIMH Pub Date : 2023-06-01 Epub Date: 2023-06-16 DOI: 10.1007/978-3-031-35302-4_4

Emilio A Mendiola, Eric Wang, Abby Leatherman, Qian Xiang, Sunder Neelakantan, Peter Vanderslice, Reza Avazmohammadi

{"title":"A Micro-anatomical Model of the Infarcted Left Ventricle Border Zone to Study the Influence of Collagen Undulation.","authors":"Emilio A Mendiola, Eric Wang, Abby Leatherman, Qian Xiang, Sunder Neelakantan, Peter Vanderslice, Reza Avazmohammadi","doi":"10.1007/978-3-031-35302-4_4","DOIUrl":"10.1007/978-3-031-35302-4_4","url":null,"abstract":"Myocardial infarction (MI) results in cardiac myocyte death and often initiates the formation of a fibrotic scar in the myocardium surrounded by a border zone. Myocyte loss and collagen-rich scar tissue heavily influence the biomechanical behavior of the myocardium which could lead to various cardiac diseases such as systolic heart failure and arrhythmias. Knowledge of how myocyte and collagen micro-architecture changes affect the passive mechanical behavior of the border zone remains limited. Computational modeling provides us with an invaluable tool to identify and study the mechanisms driving the biomechanical remodeling of the myocardium post-MI. We utilized a rodent model of MI and an image-based approach to characterize the three-dimensional (3-D) myocyte and collagen micro-architecture at various timepoints post-MI. Left ventricular free wall (LVFW) samples were obtained from infarcted hearts at 1-week and 4-week post-MI (n = 1 each). Samples were labeled using immunoassays to identify the extracellular matrix (ECM) and myocytes. 3-D reconstructions of the infarct border zone were developed from confocal imaging and meshed to develop high-fidelity micro-anatomically accurate finite element models. We performed a parametric study using these models to investigate the influence of collagen undulation on the passive micromechanical behavior of the myocardium under a diastolic load. Our results suggest that although parametric increases in collagen undulation elevate the strain amount experienced by the ECM in both early- and late-stage MI, the sensitivity of myocytes to such increases is reduced from early to late-stage MI. Our 3-D micro-anatomical modeling holds promise in identifying mechanisms of border zone maladaptation post-MI.","PeriodicalId":73120,"journal":{"name":"Functional imaging and modeling of the heart : ... International Workshop, FIMH ..., proceedings. FIMH","volume":null,"pages":null},"PeriodicalIF":0.0,"publicationDate":"2023-06-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10352642/pdf/nihms-1916028.pdf","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"9903825","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

On the possibility of estimating myocardial fiber architecture from cardiac strains. 从心脏应变估计心肌纤维结构的可能性。

Functional imaging and modeling of the heart : ... International Workshop, FIMH ..., proceedings. FIMH Pub Date : 2023-06-01 Epub Date: 2023-06-16 DOI: 10.1007/978-3-031-35302-4_8

Muhammad Usman, Emilio A Mendiola, Tanmay Mukherjee, Rana Raza Mehdi, Jacques Ohayon, Prasanna G Alluri, Sakthivel Sadayappan, Gaurav Choudhary, Reza Avazmohammadi

{"title":"On the possibility of estimating myocardial fiber architecture from cardiac strains.","authors":"Muhammad Usman, Emilio A Mendiola, Tanmay Mukherjee, Rana Raza Mehdi, Jacques Ohayon, Prasanna G Alluri, Sakthivel Sadayappan, Gaurav Choudhary, Reza Avazmohammadi","doi":"10.1007/978-3-031-35302-4_8","DOIUrl":"10.1007/978-3-031-35302-4_8","url":null,"abstract":"The myocardium is composed of a complex network of contractile myofibers that are organized in such a way as to produce efficient contraction and relaxation of the heart. The myofiber architecture in the myocardium is a key determinant of cardiac motion and the global or organ-level function of the heart. Reports of architectural remodeling in cardiac diseases, such as pulmonary hypertension and myocardial infarction, potentially contributing to cardiac dysfunction call for the inclusion of an architectural marker for an improved assessment of cardiac function. However, the in-vivo quantification of three-dimensional myo-architecture has proven challenging. In this work, we examine the sensitivity of cardiac strains to varying myofiber orientation using a multiscale finite-element model of the LV. Additionally, we present an inverse modeling approach to predict the myocardium fiber structure from cardiac strains. Our results indicate a strong correlation between fiber orientation and LV kinematics, corroborating that the fiber structure is a principal determinant of LV contractile behavior. Our inverse model was capable of accurately predicting the myocardial fiber range and regional fiber angles from strain measures. A concrete understanding of the link between LV myofiber structure and motion, and the development of non-invasive and feasible means of characterizing the myocardium architecture is expected to lead to advanced LV functional metrics and improved prognostic assessment of structural heart disease.","PeriodicalId":73120,"journal":{"name":"Functional imaging and modeling of the heart : ... International Workshop, FIMH ..., proceedings. FIMH","volume":null,"pages":null},"PeriodicalIF":0.0,"publicationDate":"2023-06-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10478796/pdf/nihms-1922738.pdf","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"10170205","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

Prototype of a Cardiac MRI Simulator for the Training of Supervised Neural Networks 用于监督神经网络训练的心脏MRI模拟器原型

Functional imaging and modeling of the heart : ... International Workshop, FIMH ..., proceedings. FIMH Pub Date : 2023-05-25 DOI: 10.1007/978-3-031-35302-4_38

M. Varela, A. Bharath

引用次数: 0

Extraction of volumetric indices from echocardiography: which deep learning solution for clinical use? 超声心动图容积指标的提取:哪种深度学习方案适合临床应用?

Functional imaging and modeling of the heart : ... International Workshop, FIMH ..., proceedings. FIMH Pub Date : 2023-05-03 DOI: 10.1007/978-3-031-35302-4_25

Han Ling, Nathan Painchaud, P. Courand, Pierre-Marc Jodoin, Damien Garcia, O. Bernard

引用次数: 0

Automatic Aortic Valve Pathology Detection from 3-Chamber Cine MRI with Spatio-Temporal Attention Maps 基于时空注意图的三腔MRI主动脉瓣病理自动检测

Functional imaging and modeling of the heart : ... International Workshop, FIMH ..., proceedings. FIMH Pub Date : 2023-04-12 DOI: 10.1007/978-3-031-35302-4_66

Y. On, K. Vimalesvaran, C. Galazis, S. Zaman, J. Howard, N. Linton, N. Peters, G. Cole, A. Bharath, M. Varela

引用次数: 0

Implicit Neural Representations for Modeling of Abdominal Aortic Aneurysm Progression 腹主动脉瘤发展模型的内隐神经表征

Functional imaging and modeling of the heart : ... International Workshop, FIMH ..., proceedings. FIMH Pub Date : 2023-03-02 DOI: 10.48550/arXiv.2303.01069

Dieuwertje Alblas, Marie‐Claude Hofman, C. Brune, K. Yeung, J. Wolterink

{"title":"Implicit Neural Representations for Modeling of Abdominal Aortic Aneurysm Progression","authors":"Dieuwertje Alblas, Marie‐Claude Hofman, C. Brune, K. Yeung, J. Wolterink","doi":"10.48550/arXiv.2303.01069","DOIUrl":"https://doi.org/10.48550/arXiv.2303.01069","url":null,"abstract":"Abdominal aortic aneurysms (AAAs) are progressive dilatations of the abdominal aorta that, if left untreated, can rupture with lethal consequences. Imaging-based patient monitoring is required to select patients eligible for surgical repair. In this work, we present a model based on implicit neural representations (INRs) to model AAA progression. We represent the AAA wall over time as the zero-level set of a signed distance function (SDF), estimated by a multilayer perception that operates on space and time. We optimize this INR using automatically extracted segmentation masks in longitudinal CT data. This network is conditioned on spatiotemporal coordinates and represents the AAA surface at any desired resolution at any moment in time. Using regularization on spatial and temporal gradients of the SDF, we ensure proper interpolation of the AAA shape. We demonstrate the network's ability to produce AAA interpolations with average surface distances ranging between 0.72 and 2.52 mm from images acquired at highly irregular intervals. The results indicate that our model can accurately interpolate AAA shapes over time, with potential clinical value for a more personalised assessment of AAA progression.","PeriodicalId":73120,"journal":{"name":"Functional imaging and modeling of the heart : ... International Workshop, FIMH ..., proceedings. FIMH","volume":null,"pages":null},"PeriodicalIF":0.0,"publicationDate":"2023-03-02","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"74981496","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}

引用次数: 2

SE(3) symmetry lets graph neural networks learn arterial velocity estimation from small datasets SE(3)对称性使图神经网络能够从小数据集学习动脉速度估计

Functional imaging and modeling of the heart : ... International Workshop, FIMH ..., proceedings. FIMH Pub Date : 2023-02-17 DOI: 10.1007/978-3-031-35302-4_46

J. Suk, C. Brune, J. Wolterink

引用次数: 2

Generating Short-Axis DENSE Images from 4D XCAT Phantoms: A Proof-of-Concept Study 从4D XCAT幻影生成短轴密集图像:概念验证研究

Functional imaging and modeling of the heart : ... International Workshop, FIMH ..., proceedings. FIMH Pub Date : 2023-01-01 DOI: 10.1007/978-3-031-35302-4_43

Hugo Barbaroux, M. Loecher, Karl P. Kunze, R. Neji, Daniel B. Ennis, S. Nielles-Vallespin, A. Scott, A. Young

引用次数: 0

Automated Estimation of Left Ventricular Diastolic Chamber Stiffness: Application to Patients with Heart Failure and Aortic Regurgitation 左心室舒张室刚度的自动评估:在心力衰竭和主动脉瓣反流患者中的应用

Functional imaging and modeling of the heart : ... International Workshop, FIMH ..., proceedings. FIMH Pub Date : 2023-01-01 DOI: 10.1007/978-3-031-35302-4_64

A. Hasaballa, D. Zhao, V. Wang, T. B. Gamage, S. Creamer, G. Quill, P. Ruygrok, S. Arri, R. Doughty, M. Legget, A. Young, M. Nash

引用次数: 0