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Reconstruction of 5D cardiac MRI through the blood flow registration: simulation of the fifth dimension and assessment of the left ventricular ejection fraction
In this paper, a medical decision approach for cardiac MRI by the registration algorithm and the reconstruction of 5D stacks for cine MRI sequences...
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Review of Data Types and Model Dimensionality for Cardiac DTI SMS-Related Artefact Removal
As diffusion tensor imaging (DTI) gains popularity in cardiac imaging due to its unique ability to non-invasively assess the cardiac microstructure,...
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Integrating Artificial Intelligence with Mixed Reality to Optimize Health Care in the Metaverse
This chapter discusses how AI can potentially improve augmented reality (AR) and virtual reality (VR). Currently, healthcare applications in AR and...
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Faster Diffusion Cardiac MRI with Deep Learning-Based Breath Hold Reduction
Diffusion Tensor Cardiac Magnetic Resonance (DT-CMR) enables us to probe the microstructural arrangement of cardiomyocytes within the myocardium in...
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Cardiac murmur grading and risk analysis of cardiac diseases based on adaptable heterogeneous-modality multi-task learning
Cardiovascular disease (CVDs) has become one of the leading causes of death, posing a significant threat to human life. The development of reliable...
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Forward Uncertainty Quantification and Sensitivity Analysis of the Holzapfel-Ogden Model for the Left Ventricular Passive Mechanics
Cardiovascular diseases are still responsible for many deaths worldwide, and computational models are essential tools for a better understanding of...
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ECG Morphological Features Based Sudden Cardiac Arrest (SCA) Prediction Using Nonlinear Classifiers
Sudden Cardiac Arrest (SCA) is a sudden loss of heart function often resulting from an electrical disturbance of the heart that disrupts the blood...
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Lossless segmentation of cardiac medical images by a resolution consistent network with nondamage data preprocessing
Convolutional neural networks originate from image classification tasks. The pooling operation can expand the receptive field and reduce the amount...
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CNN-Based Cardiac Motion Extraction to Generate Deformable Geometric Left Ventricle Myocardial Models from Cine MRI
Patient-specific left ventricle (LV) myocardial models have the potential to be used in a variety of clinical scenarios for improved diagnosis and...
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Domain-Adversarial Learning for Multi-Centre, Multi-Vendor, and Multi-Disease Cardiac MR Image Segmentation
Cine cardiac magnetic resonance (CMR) has become the gold standard for the non-invasive evaluation of cardiac function. In particular, it allows the...
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Deep convolutional neural network for the automated diagnosis of congestive heart failure using ECG signals
Congestive heart failure (CHF) is a chronic heart condition associated with debilitating symptoms that result in increased mortality, morbidity,...
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Controllable Cardiac Synthesis via Disentangled Anatomy Arithmetic
Acquiring annotated data at scale with rare diseases or conditions remains a challenge. It would be extremely useful to have a method that...
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Random Style Transfer Based Domain Generalization Networks Integrating Shape and Spatial Information
Deep learning (DL)-based models have demonstrated good performance in medical image segmentation. However, the models trained on a known dataset...
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Measure Anatomical Thickness from Cardiac MRI with Deep Neural Networks
Accurate estimation of shape thickness from medical images is crucial in clinical applications. For example, the thickness of myocardium is one of...
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A self-optimized software tool for quantifying the degree of left ventricle hyper-trabeculation
Left ventricular non-compaction is characterized by the presence of multiple trabecules in the left ventricle myocardium, associated with multiple...
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TSP-UDANet: two-stage progressive unsupervised domain adaptation network for automated cross-modality cardiac segmentation
Accurate segmentation of cardiac anatomy is a prerequisite for the diagnosis of cardiovascular disease. However, due to differences in imaging...
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Systematic Study of Joint Influence of Angular Resolution and Noise in Cardiac Diffusion Tensor Imaging
Diffusion tensor imaging (DTI) is a promising imaging technique to non-invasively study diffusion properties and fiber structures of myocardial...
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Automatic Myocardial Disease Prediction from Delayed-Enhancement Cardiac MRI and Clinical Information
Delayed-enhancement cardiac magnetic resonance (DE-CMR) provides important diagnostic and prognostic information on myocardial viability. The...
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Using medical terminologies with PyMedTermino and UMLS
In this chapter, we will see how to import into Python the main medical terminologies from UMLS, using PyMedTermino, a module allowing these...
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MMNet: A multi-scale deep learning network for the left ventricular segmentation of cardiac MRI images
With the development of deep learning network models, the automatic segmentation of medical images is becoming increasingly popular. Left ventricular...
