Kooperativer Bibliotheksverbund

UID:

Format: 1 Online-Ressource (XXI, 723 p. 314 illus., 287 illus. in color).

Edition: 1st ed. 2023

ISBN: 978-3-031-35302-4

Series Statement: Lecture Notes in Computer Science 13958

Additional Edition: Erscheint auch als Druck-Ausgabe ISBN 978-3-031-35301-7

Additional Edition: Erscheint auch als Druck-Ausgabe ISBN 978-3-031-35303-1

Language: English

Subjects: Computer Science

Keywords: Konferenzschrift

DOI: 10.1007/978-3-031-35302-4

URL: Volltext  (URL des Erstveröffentlichers)

UID:

Format: 1 Online-Ressource (XXI, 723 p. 314 illus., 287 illus. in color).

Edition: 1st ed. 2023

ISBN: 978-3-031-35302-4

Series Statement: Lecture Notes in Computer Science 13958

Additional Edition: Erscheint auch als Druck-Ausgabe ISBN 978-3-031-35301-7

Additional Edition: Erscheint auch als Druck-Ausgabe ISBN 978-3-031-35303-1

Language: English

Subjects: Computer Science

Keywords: Konferenzschrift

DOI: 10.1007/978-3-031-35302-4

URL: Volltext  (URL des Erstveröffentlichers)

UID:

Format: 1 Online-Ressource (XXI, 723 p. 314 illus., 287 illus. in color)

Edition: 1st ed. 2023

ISBN: 9783031353024

Series Statement: Lecture Notes in Computer Science 13958

Additional Edition: Erscheint auch als Druck-Ausgabe ISBN 978-3-031-35301-7

Additional Edition: Erscheint auch als Druck-Ausgabe ISBN 978-3-031-35303-1

Language: English

Subjects: Computer Science

Keywords: Konferenzschrift

DOI: 10.1007/978-3-031-35302-4

URL: Volltext  (URL des Erstveröffentlichers)

UID:

Format: 1 Online-Ressource (XXI, 723 p. 314 illus., 287 illus. in color).

Edition: 1st ed. 2023

ISBN: 978-3-031-35302-4

Series Statement: Lecture Notes in Computer Science 13958

Additional Edition: Erscheint auch als Druck-Ausgabe ISBN 978-3-031-35301-7

Additional Edition: Erscheint auch als Druck-Ausgabe ISBN 978-3-031-35303-1

Language: English

Subjects: Computer Science

Keywords: Konferenzschrift

DOI: 10.1007/978-3-031-35302-4

URL: Volltext  (URL des Erstveröffentlichers)

UID:

Format: xxii, 723 Seiten , Illustrationen, Diagramme

ISBN: 9783031353017

Series Statement: Lecture notes in computer science 13958

Additional Edition: Erscheint auch als Online-Ausgabe ISBN 978-3-031-35302-4

Language: English

Subjects: Computer Science

Keywords: Konferenzschrift

UID:

Format: XXI, 723 p. 314 illus., 287 illus. in color. , online resource.

Edition: 1st ed. 2023.

ISBN: 9783031353024

Series Statement: Lecture Notes in Computer Science, 13958

Content: This book constitutes the refereed proceedings of the 12th International Conference on Functional Imaging and Modeling of the Heart, held in Lyon, France, in June 2023. The 72 full papers were carefully reviewed and selected from 80 submissions. The focus of the papers is on following topics: increased imaging resolutions, data explosion, sophistication of computational models and advent of AI frameworks, while new imaging modalities have emerged (e.g. combined PET-MRI, Spectral CT).

Note: Cardiac multiscale structure -- Cardiac electrophysiology modeling -- Image and shape analysis -- Cardiovascular hemodynamics and CFD -- Cardiac biomechanics -- Clinical applications.

In: Springer Nature eBook

Additional Edition: Printed edition: ISBN 9783031353017

Additional Edition: Printed edition: ISBN 9783031353031

Language: English

DOI: 10.1007/978-3-031-35302-4

URL: https://doi.org/10.1007/978-3-031-35302-4

UID:

Format: 1 Online-Ressource (735 Seiten)

Edition: 1st ed

ISBN: 9783031353024

Series Statement: Lecture Notes in Computer Science Series v.13958

Note: Description based on publisher supplied metadata and other sources , Intro -- Preface -- Organization -- Contents -- Cardiac Multiscale Structure -- Characterization of the Septal Discontinuity in Ex-Vivo Human Hearts Using Diffusion Tensor Imaging: The Potential Structural Determinism Played by Fiber Orientation in Clinical Phenotype of Laminopathy Patients -- 1 Introduction -- 2 Methods -- 2.1 Sample Description -- 2.2 Sample Preparation -- 2.3 MRI Acquisition -- 2.4 Diffusion Tensor Estimation -- 2.5 DTI-Derived Metrics Computation -- 2.6 Estimated Location of the Septal Discontinuity in Ex-Vivo Sample -- 2.7 Study Population and CMR Acquisition -- 2.8 Estimated Location of Septal Discontinuity in In-Vivo Study Population -- 3 Results -- 4 Discussions -- 5 Conclusion -- References -- Ultrastructure Analysis of Cardiomyocytes and Their Nuclei -- 1 Introduction -- 2 Methods -- 2.1 Tissue Sample Preparation and Imaging -- 2.2 Geometric Flow Based Segmentation -- 2.3 Neural Network Based Segmentation -- 2.4 Orientation Analysis and Fractional Anisotropy -- 3 Results -- 3.1 Elongation of Cardiomyocytes and Their Nuclei -- 3.2 Orientation Comparison -- 4 Discussion -- References -- Description of the Intrusion Angle of Local Cardiomyocyte Aggregates in Human Left Ventricular Free Wall Using X-ray Phase-Contrast Tomography -- 1 Introduction -- 2 Material and Method -- 2.1 Experiment Data -- 2.2 Measurement of the Local Cardiomyocyte Aggregates IA -- 2.3 Modeling of the Distribution of Cardiomyocyte Aggregates IA in Samples -- 3 Results -- 4 Discussion -- 5 Conclusion -- References -- A Micro-anatomical Model of the Infarcted Left Ventricle Border Zone to Study the Influence of Collagen Undulation -- 1 Introduction -- 2 Materials and Methods -- 2.1 Animal Model -- 2.2 Preparation and Labeling of Myocardium Samples -- 2.3 Confocal Microscopy Imaging -- 2.4 Finite-Element Model Development -- 3 Results -- 4 Discussion , References -- Symmetric Multimodal Mapping of Ex Vivo Cardiac Microstructure of Large Mammalian Whole Hearts for Volumetric Comparison of Myofiber Orientation Estimated from Diffusion MRI and MicroCT -- 1 Introduction -- 2 Methods -- 2.1 Samples -- 2.2 Sample Preparation and Acquisition for MRI -- 2.3 Sample Preparation and Acquisition for MicroCT -- 2.4 Diffusion Tensor Estimation -- 2.5 STI Estimation -- 2.6 Spatial Registration -- 3 Results -- 4 Discussion -- 5 Conclusion -- References -- The Effect of Temporal Variations in Myocardial Perfusion on Diffusion Tensor Measurements -- 1 Introduction -- 2 Methods -- 2.1 Perfusion Model -- 2.2 Capillary Velocity Distribution -- 2.3 Capillary Network -- 2.4 DT-CMR Sequences -- 2.5 DT-CMR Simulation -- 3 Results -- 3.1 Amplitude and Frequency Study -- 3.2 Physiological Velocity Function -- 3.3 Diffusion Tensor Results -- 4 Discussion -- References -- Ventricular Helix Angle Trends and Long-Range Connectivity -- 1 Introduction -- 2 Materials and Methods -- 2.1 Image Acquisition -- 2.2 Image Processing -- 2.3 Tractography Analysis -- 2.4 Statistical Analysis -- 3 Results -- 4 Discussion -- 5 Conclusion -- References -- On the Possibility of Estimating Myocardial Fiber Architecture from Cardiac Strains -- 1 Introduction -- 2 Materials and Methods -- 2.1 Left Ventricle Finite Element Model -- 2.2 Development of Synthetic Fiber Architectures -- 2.3 Relationship Between Fiber-Orientation and Strains: Forward Problem -- 2.4 Relationship Between Fiber-Orientation and Strains: Inverse Problem -- 3 Results -- 3.1 Strains Were Correlated with Fiber Orientation -- 3.2 Fiber Architecture Influences Regional Strain -- 3.3 Prediction of Myofiber Angle from Cardiac Strains -- 4 Discussion and Conclusions -- References -- Cardiac Electrophysiology Modeling , The Fibrotic Kernel Signature: Simulation-Free Prediction of Atrial Fibrillation -- 1 Introduction -- 2 Methods -- 2.1 Cardiac Atrial Modeling -- 2.2 Fibrotic Kernel Signature on the Atria -- 2.3 Prediction of Atrial Fibrillation -- 3 Results -- 4 Discussion -- References -- Isogeometric-Mechanics-Driven Electrophysiology Simulations of Ventricular Tachycardia -- 1 Introduction -- 2 Methods -- 2.1 Cardiac Mechanics Model -- 2.2 Cardiac Electrophysiology Model -- 2.3 Performed Numerical Experiments -- 3 Results -- 3.1 Cardiac Mechanics -- 3.2 Cardiac Electrophysiology -- 4 Discussion -- References -- Cellular Automata for Fast Simulations of Arrhythmogenic Atrial Substrate -- 1 Introduction -- 2 Materials and Methods -- 2.1 Biophysical Model -- 2.2 Cellular Automata -- 3 Results -- 3.1 Biophysical Model Characterization -- 3.2 Cellular Automata Simulations -- 3.3 Self-sustained Arrhythmia Simulations -- 4 Discussion and Conclusion -- References -- Effect of Gap Junction Distribution, Size, and Shape on the Conduction Velocity in a Cell-by-Cell Model for Electrophysiology -- 1 Introduction -- 2 Methods -- 3 Numerical Results -- 4 Discussion -- References -- Automated Generation of Purkinje Networks in the Human Heart Considering the Anatomical Variability -- 1 Introduction -- 2 Materials and Methods -- 2.1 Purkinje Tree Algorithm -- 2.2 Simulation -- 3 Results -- 4 Discussion and Conclusion -- References -- On the Accuracy of Eikonal Approximations in Cardiac Electrophysiology in the Presence of Fibrosis -- 1 Introduction -- 2 Methods -- 3 Numerical Experiments -- 4 Discussion -- References -- Sensitivity of Repolarization Gradients to Infarct Borderzone Properties Assessed with the Ten Tusscher and Modified Mitchell-Schaeffer Model -- 1 Introduction -- 2 Methods -- 2.1 Spatial Discretization Comparison -- 2.2 AP Tuning -- 2.3 Restitution Properties , 2.4 Sensitivity to BZ Properties -- 3 Results -- 3.1 Space-Discretization Analysis for the Conduction Velocity -- 3.2 AP Tuning -- 3.3 Restitution Curves for APD -- 3.4 Repolarization Time Gradient -- 4 Discussion -- 5 Conclusion -- References -- Numerical Investigation of Methods Used in Commercial Clinical Devices for Solving the ECGI Inverse Problem -- 1 Introduction -- 2 Methods -- 2.1 Mathematical Modeling of the Inverse Problem -- 2.2 Method of Fundamental Solution (MFS) -- 2.3 Equivalent Single Layer (ESL) -- 2.4 Activation Maps -- 3 Data -- 4 Evaluation -- 5 Results -- 5.1 Simulated Data -- 5.2 Clinical Data -- 6 Discussion and Conclusions -- References -- Evaluation of Inverse Electrocardiography Solutions Based on Signal-Averaged Beats to Localize the Origins of Spontaneous Premature Ventricular Contractions in Humans -- 1 Introduction -- 2 Methods -- 2.1 Bratislava Data -- 2.2 Forward and Inverse Problem Solution -- 2.3 Evaluation Methods -- 3 Results -- 4 Discussion and Conclusions -- References -- An in silico Study of Cardiac hiPSC Electronic Maturation by Dynamic Clamp -- 1 Introduction -- 2 Methods -- 2.1 From Experimental to Virtual DC -- 2.2 Paci 2020 Ionic Model and IK1 Tested Currents -- 3 Results and Discussion -- 3.1 A Novel AP Morphology Classifier -- 3.2 Biomarkers Analysis -- 4 Conclusion -- References -- Electrocardiology Modeling After Catheter Ablations for Atrial Fibrillation -- 1 Introduction -- 2 Modeling -- 2.1 Geometrical Setting -- 2.2 Surface Bidomain Model in the Atrium -- 2.3 Transmission Conditions Through -- 2.4 Pulsed Field Ablation -- 3 Numerical Illustrations -- 3.1 Mesh, Fibers and Numerical Schemes -- 3.2 Numerical Illustrations Before Ablation -- 3.3 Effects on the Electric Signal -- 4 Conclusion -- References -- Modeling Cardiac Stimulation by a Pacemaker, with Accurate Tissue-Electrode Interface , 1 Introduction -- 2 Pacemaker Model Coupled to Cardiac Ionic Equations -- 3 Calibration from Bench Experiments -- 4 Numerical Results, Comparison with Animal Experiments -- 5 Conclusion -- References -- Simulated Excitation Patterns in the Atria and Their Corresponding Electrograms -- 1 Introduction -- 2 Methods -- 3 Results -- 4 Discussion and Conclusion -- References -- Deep Learning-Based Emulation of Human Cardiac Activation Sequences -- 1 Introduction -- 2 Methods -- 2.1 Dataset -- 2.2 Data Representation -- 2.3 Training Data Generation -- 2.4 Deep Learning Architectures -- 2.5 Training -- 2.6 Cross-Validation -- 2.7 Implementation and Software -- 3 Results -- 3.1 Performance -- 3.2 Error Quantification -- 4 Discussion and Conclusion -- References -- Influence of Myocardial Infarction on QRS Properties: A Simulation Study -- 1 Introduction -- 2 Methodology -- 2.1 Anatomical Model Construction -- 2.2 Electrophysiological Simulation -- 2.3 Univariate Sensitivity Analysis -- 3 Experiments and Results -- 3.1 Data Acquisition and Activation Property Configuration -- 3.2 Results -- 4 Discussion and Conclusion -- References -- Image and Shape Analysis -- Effect of Spatial and Temporal Resolution on the Accuracy of Motion Tracking Using 2D and 3D Cine Cardiac Magnetic Resonance Imaging Data -- 1 Introduction -- 2 Methods -- 2.1 Image Acquisition -- 2.2 Construction of SA-Like Cine Images -- 2.3 Image Series with Lower Temporal Resolution -- 2.4 Segmentation of the Left Ventricle -- 2.5 Finite Element-Based Image Registration with Mechanical Regularization -- 3 Results -- 3.1 The Effect of Slice Thickness -- 3.2 The Effect of Temporal Resolution -- 4 Discussion and Conclusion -- References -- Extraction of Volumetric Indices from Echocardiography: Which Deep Learning Solution for Clinical Use? -- 1 Introduction -- 2 Benchmarked Methods , 2.1 2D DL Methods

Additional Edition: Erscheint auch als Druck-Ausgabe Bernard, Olivier Functional Imaging and Modeling of the Heart Cham : Springer,c2023 ISBN 9783031353017

Language: English