Results 51 to 60 of about 196,130 (124)

Automatic Myocardial Segmentation by Using A Deep Learning Network in Cardiac MRI [PDF]

open access: yesarXiv, 2017
Cardiac function is of paramount importance for both prognosis and treatment of different pathologies such as mitral regurgitation, ischemia, dyssynchrony and myocarditis. Cardiac behavior is determined by structural and functional features. In both cases, the analysis of medical imaging studies requires to detect and segment the myocardium.
arxiv  

A novel quantitative indicator of the left ventricular contraction based on volume changes of the left ventricular myocardial segments [PDF]

open access: yesarXiv, 2018
Ejection fraction (EF) is commonly measured by echocardiography, by dividing the volume ejected by the heart (stroke volume) by the volume of the filled heart (end-diastolic volume). Utilizing volume changes of left myocardial segments per a cardiac cycle, physical laws and mathematical equations specific echocardiographic data, this paper serves to ...
arxiv  

Classification of Mitral Regurgitation from Cardiac Cine MRI using Clinically-Interpretable Morphological Features [PDF]

open access: yesarXiv
The assessment of mitral regurgitation (MR) using cardiac MRI, particularly Cine MRI, is a promising technique due to its wide availability. However, some of the temporal information available in clinical Cine MRI may not be fully utilised, as it requires detailed temporal analysis across different cardiac views.
arxiv  

Left ventricular cine-angio- cardiography in the assessment of mitral regurgitation. [PDF]

open access: bronze, 1969
M Honey   +4 more
openalex   +1 more source

Sparse incomplete representations: A novel role for olfactory granule cells [PDF]

open access: yesarXiv, 2010
Mitral cells of the olfactory bulb form sparse representations of the odorants and transmit this information to the cortex. The olfactory code carried by the mitral cells is sparser than the inputs that they receive. In this study we analyze the mechanisms and functional significance of sparse olfactory codes.
arxiv  

Investigating the shortcomings of the Flow Convergence Method for quantification of Mitral Regurgitation in a pulsatile in-vitro environment and with Computational Fluid Dynamics [PDF]

open access: yesarXiv
The flow convergence method includes calculation of the proximal isovelocity surface area (PISA) and is widely used to classify mitral regurgitation (MR) with echocardiography. It constitutes a primary decision factor for determination of treatment and should therefore be a robust quantification method.
arxiv  

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