AIMC Topic: Heart Ventricles

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Automatic left ventricle segmentation from cardiac magnetic resonance images using a capsule network.

Journal of X-ray science and technology
PURPOSE: Segmentation of magnetic resonance images (MRI) of the left ventricle (LV) plays a key role in quantifying the volumetric functions of the heart, such as the area, volume, and ejection fraction. Traditionally, LV segmentation is performed ma...

Right Ventricular Segmentation from MRI Using Deep Convolutional Neural Networks.

Annual International Conference of the IEEE Engineering in Medicine and Biology Society. IEEE Engineering in Medicine and Biology Society. Annual International Conference
The assessment of right ventricular (RV) function is essential in the diagnosis of many cardiac diseases. Magnetic resonance imaging (MRI) offers an excellent solution to image right ventricle non-invasively with high contrast and temporal resolution...

A Multi-channel Deep Learning Approach for Segmentation of the Left Ventricular Endocardium from Cardiac Images.

Annual International Conference of the IEEE Engineering in Medicine and Biology Society. IEEE Engineering in Medicine and Biology Society. Annual International Conference
Cardiac segmentation is the first most important step in assessing cardiac diseases. However, it still remains challenging owing to the complicated information of myocardium's boundary. In this work, we investigate approaches based on deep learning f...

Machine learning based automated dynamic quantification of left heart chamber volumes.

European heart journal. Cardiovascular Imaging
AIMS: Studies have demonstrated the ability of a new automated algorithm for volumetric analysis of 3D echocardiographic (3DE) datasets to provide accurate and reproducible measurements of left ventricular and left atrial (LV, LA) volumes at end-syst...

The Mechanics of Machine Learning: From a Concept to Value.

Journal of the American Society of Echocardiography : official publication of the American Society of Echocardiography

Computational Platform Based on Deep Learning for Segmenting Ventricular Endocardium in Long-axis Cardiac MR Imaging.

Annual International Conference of the IEEE Engineering in Medicine and Biology Society. IEEE Engineering in Medicine and Biology Society. Annual International Conference
This paper presents an automated computational platform based on deep learning (DL) approach for left ventricular (LV) and right ventricular (RV) endocardium segmentation in long-axis cine cardiovascular magnetic resonance (CMR). The proposed method ...

Successful Robotic Excision and Early Chemotherapy for Primary Cardiac Lymphoma.

The Annals of thoracic surgery
We present a 67-year-old patient who underwent robotic excision of a mobile left ventricular mass found incidentally on echocardiography. Intraoperative findings revealed a pedunculated mass infiltrating the interventricular septum, and the results o...