Reconstruction of Diffusion Anisotropies Using 3D Deep Convolutional Neural Networks in Diffusion Imaging

Simon Koppers; Matthias Friedrichs; Dorit Merhof

doi:10.1007/978-3-319-61358-1_17

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Reconstruction of Diffusion Anisotropies Using 3D Deep Convolutional Neural Networks in Diffusion Imaging

Simon Koppers Matthias Friedrichs Dorit Merhof

Year: 2017 Mathematics and visualization Pages: 393-404 Publisher: Springer Nature

DOI: 10.1007/978-3-319-61358-1_17

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Keywords:

Voxel Diffusion MRI Human Connectome Project Convolutional neural network Connectome Computer science Artificial intelligence Pattern recognition (psychology) Deep learning Artificial neural network Diffusion Orientation (vector space) Neuroscience Physics Mathematics Functional connectivity Magnetic resonance imaging Biology Geometry

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Topics

Advanced Neuroimaging Techniques and Applications

Health Sciences → Medicine → Radiology, Nuclear Medicine and Imaging

Fetal and Pediatric Neurological Disorders

Health Sciences → Medicine → Pediatrics, Perinatology and Child Health

Advanced MRI Techniques and Applications

Health Sciences → Medicine → Radiology, Nuclear Medicine and Imaging

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