Computational Biomechanics for Medicine
Towards Automation and Robustness of Computations in the Clinic
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Article
Open AccessEvaluation of left ventricular filling pressure by echocardiography in patients with atrial fibrillation
Echocardiography is widely used to evaluate left ventricular (LV) diastolic function in patients suspected of heart failure. For patients in sinus rhythm, a combination of several echocardiographic parameters ...
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Chapter and Conference Paper
Automated Quality-Controlled Left Heart Segmentation from 2D Echocardiography
Segmentation of 2D echocardiography (2DE) images is an important prerequisite for quantifying cardiac function. Although deep learning can automate analysis, variability in image quality and limitations in mod...
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Chapter and Conference Paper
Automated Segmentation of the Right Ventricle from 3D Echocardiography Using Labels from Cardiac Magnetic Resonance Imaging
Segmentation of the right ventricle (RV) from 3D echocardiography (3DE) is a challenging task. In comparison to the left ventricle (LV), the complex geometry of the RV hinders accurate and reproducible volume ...
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Chapter and Conference Paper
Impact of Hypertension on Left Ventricular Pressure-Strain Loop Characteristics and Myocardial Work
Hypertension is a major risk factor for cardiovascular disease. Pressure-strain loop analysis has recently been introduced as a clinical tool to quantify the pum** efficiency of the left ventricle (LV), as a...
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Article
Open AccessPublisher Correction: Correcting bias in cardiac geometries derived from multimodal images using spatiotemporal map**
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Article
Open AccessSuper-resolution 4D flow MRI to quantify aortic regurgitation using computational fluid dynamics and deep learning
Changes in cardiovascular hemodynamics are closely related to the development of aortic regurgitation (AR), a type of valvular heart disease. Metrics derived from blood flows are used to indicate AR onset and ...
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Article
Open AccessCorrecting bias in cardiac geometries derived from multimodal images using spatiotemporal map**
Cardiovascular imaging studies provide a multitude of structural and functional data to better understand disease mechanisms. While pooling data across studies enables more powerful and broader applications, p...
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Chapter and Conference Paper
Workflow for Generating Personalised Anatomical Models of the Skeleton and the Skin Surface of the Upper Torso
Breast cancer is the leading cause of cancer-related death in women worldwide. Diagnostic imaging such as 3D magnetic resonance imaging (MRI) is acquired with patients positioned in the prone orientation with ...
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Chapter and Conference Paper
Evaluating Passive Myocardial Stiffness Using in vivo cine, cDTI, and Tagged MRI
Increased passive myocardial stiffness is implicated in the pathophysiology of many cardiac diseases, and its in vivo estimation can improve management of heart disease. MRI-driven computational constitutive mode...
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Chapter and Conference Paper
Rapid Prediction of Breast Biomechanics Under Gravity Loading Using Surrogate Machine Learning Models
Identifying and localising breast tumours is challenging due to differing patient positions between clinical examination and treatment procedures. Individual-specific, physics-driven of the breast can help c...
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Chapter and Conference Paper
DIFF \(\cdot \) 3: A Latent Diffusion Model for the Generation of Synthetic 3D Echocardiographic Images and Corresponding Labels
Large amounts of labelled data are typically needed to develop robust deep learning methods for medical image analysis. However, issues related to the high costs of acquisition, time-consuming analysis, and pa...
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Chapter and Conference Paper
Automated Estimation of Left Ventricular Diastolic Chamber Stiffness: Application to Patients with Heart Failure and Aortic Regurgitation
Diastolic dysfunction of the heart is present in most forms of cardiac failure. Left ventricular (LV) diastolic chamber stiffness has been proposed as a metric for obtaining insights into the progression of th...
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Chapter and Conference Paper
Left Ventricular Work and Power are Constant Despite Varying Cardiac Cycle Length—Implications for Patients with Atrial Fibrillation
Atrial fibrillation (AF) is associated with stroke and heart failure, and poses a significant global health burden. Consequently, efforts remain ongoing in better characterising and understanding AF and its un...
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Book and Conference Proceedings
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Chapter
Polarization Imaging of Optical Anisotropy in Soft Tissues
Polarization imaging is a group of quantitative and label-free techniques that can be used to measure the optical anisotropy of fibrous structures, such as collagen and actin–myosin in soft tissues. In general...
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Chapter and Conference Paper
Assessing Fibre Reorientation in Soft Tissues with Simultaneous Mueller Matrix Imaging and Mechanical Testing
The implantation of bioprosthetic heart valves constructed from membranes, such as bovine pericardium, porcine pericardium, and porcine heart valves, is a common method of treatment for valvular heart diseas...
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Chapter and Conference Paper
Measuring Three-Dimensional Surface Deformations of Skin Using a Stereoscopic System and Intrinsic Features
Measurement of three-dimensional (3D) surface deformations is an important step in characterising mechanical properties and develo** computational models . Compared to two-dimensional , the ability to acqu...
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Book and Conference Proceedings
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Article
Open AccessPassive myocardial mechanical properties: meaning, measurement, models
Passive mechanical tissue properties are major determinants of myocardial contraction and relaxation and, thus, shape cardiac function. Tightly regulated, dynamically adapting throughout life, and affecting a ...
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Article
The effect of camera settings on image noise and accuracy of subpixel image registration
Estimating the accuracy of subpixel image registration algorithms in practical experiments is important, yet challenging in many applications. The accuracy of these algorithms in camera-based systems is influe...
