Paper Info
Title
Automated Segmentation And 4d Reconstruction Of The Heart Left Ventricle From Cine Mri
Abstract
Heart disease is highly prevalent in developed countries, causing 1 in 4 deaths. In this work we propose a method for a fully automated 4D reconstruction of the left ventricle of the heart. This can provide accurate information regarding the heart wall motion and in particular the hemodynamics of the ventricles. Such metrics are crucial for detecting heart function anomalies that can be an indication of heart disease. Our approach is fast, modular and extensible. In our testing, we found that generating the 4D reconstruction from a set of 250 MRI images takes less than a minute. The amount of time saved as a result of our work could greatly benefit physicians and cardiologist as they diagnose and treat patients.
Year
DOI
Venue
2019
10.1109/BIBE.2019.00189
2019 IEEE 19TH INTERNATIONAL CONFERENCE ON BIOINFORMATICS AND BIOENGINEERING (BIBE)
Keywords
Field
DocType
Magnetic Resonance Imaging, segmentation, reconstruction, cardiac, machine learning, ventricle
Hemodynamics,Internal medicine,Computer science,Segmentation,Cardiology,Artificial intelligence,Ventricle,Heart wall,Machine learning,Heart disease,Magnetic resonance imaging
Conference
ISSN
Citations 
PageRank 
2471-7819
0
0.34
References 
Authors
0
7
Name
Order
Citations
PageRank
Giovanni Molina100.68
Jose D. Velazco-Garcia200.34
Dipan J. Shah3214.96
Aaron Becker411824.52
Ioannis Seimenis5295.64
Panagiotis Tsiamyrtzis626933.31
Nikolaos V. Tsekos79319.91