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

Streamlining 4D Cardiac Image Workflows: Open-Source Tools for Segmentation, Registration, and Visualization. 简化4D心脏图像工作流程：用于分割，注册和可视化的开源工具。

Functional imaging and modeling of the heart : ... International Workshop, FIMH ..., proceedings. FIMH Pub Date : 2025-06-01 Epub Date: 2025-05-29 DOI: 10.1007/978-3-031-94562-5_15

Jilei Hao, Paul A Yushkevich, Ningjun J Dong, Silvani Amin, Zaiyang Guo, Natalie Yushkevich, Ankush Aggarwal, Alison M Pouch

引用次数: 0

Investigating the Domain Adaptability of General-Purpose Foundation Models for Left Atrium Segmentation from MR Images. 磁共振图像左心房分割通用基础模型的域适应性研究。

Functional imaging and modeling of the heart : ... International Workshop, FIMH ..., proceedings. FIMH Pub Date : 2025-06-01 Epub Date: 2025-05-29 DOI: 10.1007/978-3-031-94562-5_25

Bipasha Kundu, Bidur Khanal, Richard Simon, Cristian A Linte

{"title":"Investigating the Domain Adaptability of General-Purpose Foundation Models for Left Atrium Segmentation from MR Images.","authors":"Bipasha Kundu, Bidur Khanal, Richard Simon, Cristian A Linte","doi":"10.1007/978-3-031-94562-5_25","DOIUrl":"10.1007/978-3-031-94562-5_25","url":null,"abstract":"Segmentation of the left atrium (LA) is crucial for characterizing and appraising left atrial anatomy, morphology, and function in the context of a series of diseases, the most prevalent one being atrial fibrillation (AFib). Despite significant advances in deep learning-based segmentation models, their dependency on large annotated datasets for training limits their effectiveness in niche applications such as atrium segmentation, where annotated data is scarce. Pre-trained foundation models, trained on large-scale general-purpose datasets in a self-supervised manner, can offer an advantage by providing transferable features and enabling adoption to data-scarce domains. In this work, we explore the domain adaptability and robustness of some pre-trained foundation models, such as DINOv2, SAM, and MedSAM, as powerful alternatives for LA segmentation from MRI images. We integrated a modified UNet decoder that leverages the global contextual features encoded by the foundation models. Our approach is evaluated on the 2022 LAScarQS and 2018 LASC segmentation challenge datasets for end-to-end fine-tuning and lower training data settings, respectively. The performance of the UNet decoder was superior to that of the linear decoder used in the original papers of these foundation models, as well as other UNet baselines. Notably, DINOv2 combined with a UNet decoder consistently outperforms the baselines and improves Dice (91.5%, 91.6%) and IoU scores (84.5%, 86.6%), highlighting the model's generalizability and robustness across diverse datasets and limited training data. This study also underscores the transformative potential of foundation models in medical image segmentation, paving the way for more generalized and adaptable solutions across various medical applications.","PeriodicalId":73120,"journal":{"name":"Functional imaging and modeling of the heart : ... International Workshop, FIMH ..., proceedings. FIMH","volume":"15673 ","pages":"275-287"},"PeriodicalIF":0.0,"publicationDate":"2025-06-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.ncbi.nlm.nih.gov/pmc/articles/PMC13012294/pdf/","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"147517116","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

Identification of the Unloaded Heart Configuration Including External Interactions. 包括外部相互作用在内的未加载心脏构型的识别。

Functional imaging and modeling of the heart : ... International Workshop, FIMH ..., proceedings. FIMH Pub Date : 2025-01-01 Epub Date: 2025-05-29 DOI: 10.1007/978-3-031-94559-5_30

Javiera Jilberto, David Nordsletten

{"title":"Identification of the Unloaded Heart Configuration Including External Interactions.","authors":"Javiera Jilberto, David Nordsletten","doi":"10.1007/978-3-031-94559-5_30","DOIUrl":"10.1007/978-3-031-94559-5_30","url":null,"abstract":"Determining the unloaded, or reference, configuration of the heart is essential for developing patient-specific models that can accurately estimate in-vivo strains and stresses. Various strategies have been proposed to obtain this configuration, with inverse mechanics being a practical approach. The inverse mechanics method estimates the unloaded geometry from a deformed state and its known loads without the need for optimization procedures. However, for the resulting unloaded geometry to be physiologically meaningful, accurate boundary conditions are crucial. While spring boundary conditions are commonly applied to the epicardium to model interactions with surroundings, they do not account for the localized forces exerted by structures like the ribs and diaphragm. Since these external forces cannot be directly measured from medical images, we propose a novel approach that integrates them into the inverse mechanics formulation by penalizing large deformations. Using a series of test problems, we show this approach produces a reference configuration that closely matches the ground truth and improves circumferential strain estimations by an order of magnitude compared to standard inverse mechanics methods.","PeriodicalId":73120,"journal":{"name":"Functional imaging and modeling of the heart : ... International Workshop, FIMH ..., proceedings. FIMH","volume":"15672 ","pages":"331-342"},"PeriodicalIF":0.0,"publicationDate":"2025-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.ncbi.nlm.nih.gov/pmc/articles/PMC13098015/pdf/","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"147790961","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

Interactive Effects Between Papillary Muscle Approximation and Ring Annuloplasty to Repair Functional Mitral Regurgitation in Enlarged Ventricles. 乳头肌近似和环形环成形术修复增大心室功能性二尖瓣返流的相互作用。

Functional imaging and modeling of the heart : ... International Workshop, FIMH ..., proceedings. FIMH Pub Date : 2025-01-01 Epub Date: 2025-05-29 DOI: 10.1007/978-3-031-94562-5_37

Gediminas Gaidulis, Kanika Kalra, Muralidhar Padala

{"title":"Interactive Effects Between Papillary Muscle Approximation and Ring Annuloplasty to Repair Functional Mitral Regurgitation in Enlarged Ventricles.","authors":"Gediminas Gaidulis, Kanika Kalra, Muralidhar Padala","doi":"10.1007/978-3-031-94562-5_37","DOIUrl":"10.1007/978-3-031-94562-5_37","url":null,"abstract":"In this study, we used computational modeling to investigate the benefit of the addition of annuloplasty to papillary muscle approximation (PMA) and the effects of ring sizing on functional mitral regurgitation (FMR) repair in enlarged left ventricles. 3D echo images were obtained in three pigs with heart failure, enlarged ventricles, and FMR. Each echo dataset was segmented, and computational model of the mitral valve was created. To mimic PMA repair, the papillary muscles were drawn together in diastole. A true-sized annuloplasty ring of 40 mm and two downsized rings of 38 mm and 36 mm were then added to each model. Leaflet closure was simulated and mitral valve geometry and biomechanics in peak systole were evaluated. Both PMA alone and in combination with annuloplasty improved valve geometry and biomechanics. On average, compared to pre-repair, PMA increased A2-P2 coaptation length by 56.1±10.4%, while the addition of annuloplasty increased this length by 35.2±42.8% with 40 mm, 80.1±38% with 38 mm, and 97.7±37.6% with 36 mm ring. Peak leaflet stress was observed on the P2 cusp, and PMA reduced it by 26.9±3.9%. Adding true-sized ring reduced peak stress by 10.7±16.4%, while the addition of 38 mm ring reduced it by 29.9±2.2%, and 36 mm by 43.7±8.8%. Overall, the addition of true-sized ring to PMA slightly improved systolic valve geometry but not biomechanical parameters. Annular downsizing added to PMA was more beneficial for FMR repair, as it improved both mitral valve geometry and biomechanics.","PeriodicalId":73120,"journal":{"name":"Functional imaging and modeling of the heart : ... International Workshop, FIMH ..., proceedings. FIMH","volume":"15673 ","pages":"407-417"},"PeriodicalIF":0.0,"publicationDate":"2025-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.ncbi.nlm.nih.gov/pmc/articles/PMC13639812/pdf/","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"149119143","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":"13958 ","pages":"34-43"},"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":"13958 ","pages":"74-83"},"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":"50 1","pages":"356-365"},"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