Development of deep learning pipeline for automatic segmentation and classification of cardiac magnetic resonance images – Part 2

Heart disease is the main reason of death worldwide. One way to understand better and detect heart diseases without need for biopsy via surgery is by using medical imaging such as magnetic resonance imaging (MRI). Cardiac magnetic resonance is a specific kind of MRI which allows great visualization of inner parts of the heart and can be used for measuring the size of the heart and its chambers, which can be very useful for understanding blood flow and other potential markers of disease.

Development of deep learning pipeline for automatic segmentation and classification of cardiac magnetic resonance images

Heart disease is the main reason of death worldwide. One way to understand better and detect heart diseases without need for biopsy via surgery is by using medical imaging such as magnetic resonance imaging (MRI). Cardiac magnetic resonance is a specific kind of MRI which allows great visualization of inner parts of the heart and can be used for measuring the size of the heart and its chambers, which can be very useful for understanding blood flow and other potential markers of disease.

Development and Validation of Software for the Three-dimensional Quantification and Visualization of Blood Flow Hemodynamics in Patients with Aortic Insufficiency using 4D flow MRI. Year 2

The aim of this proposal is to assist in the development and validation of a dedicated 4D flow MRI analysis software for the evaluation of aortic valve insufficiency. Before being commercialized this software requires validation considering the large amount of data required to be pre-processed (over 2,000 files per case), elemental data corrections, data analysis preparation, data analysis algorithms, and 3D visualization.

Development and Validation of Software for the Three-dimensional Quantification and Visualization of Blood Flow Hemodynamics in Patients with Aortic Insufficiency using 4D flow MRI.

The most common cause of chronic aortic insufficiency (AI), a backwards leaking of blood through the aortic valve, are congenital valve disease, degenerative valve disease, and primary diseases of the surrounding aorta. Current management of severe AI is to surgically replace the valve based upon generic 2D imaging measures of severity and progression. However, 4D MRI flow has been recently introduced and may offer a paradigm shift in the ability to characterize AI, particularly due to different disease states.