Automated Quality Assessment of Cardiac MR Images Using Convolutional Neural Networks

• Published in: Simulation and Synthesis in Medical Imaging Vol. 9968; pp. 138 - 145
• Main Authors: Zhang, Le, Gooya, Ali, Dong, Bo, Hua, Rui, Petersen, Steffen E., Medrano-Gracia, Pau, Frangi, Alejandro F.
• Format: Book Chapter
• Language: English
• Published: Switzerland Springer International Publishing AG 2016; Springer International Publishing
• Series: Lecture Notes in Computer Science
• Subjects: 3D graphics & modelling; Cardiac Magnetic Resonance Image; Convolutional Neural Network; Image processing; Image Quality Assessment; Left Ventricular Outflow Tract; Pattern recognition; Short Axis Slice

Image quality assessment (IQA) is crucial in large-scale population imaging so that high-throughput image analysis can extract meaningful imaging biomarkers at scale. Specifically, in this paper, we address a seemingly basic yet unmet need: the automatic detection of missing (apical and basal) slice...