Data-driven Assessment of Structural Image Quality
Adon F.G. Rosen, David R. Roalf, Kosha Ruparel, Jason A. Blake, Kevin Seelaus, Lakshmi P. Villa, Rastko Ćirić, Philip A. Cook, Christos A. Davatzikos, Mark A. Elliott, Ángel García de la Garza, Efstathios D. Gennatas, Megan Quarmley, J. Eric Schmitt, Russell Taki Shinohara, , Theodore Daniel Satterthwaite
The paper develops an automated method to assess structural brain image quality using Euler number and validates its effectiveness in identifying low-quality images and its relationship with cortical thickness and age-related associations.
NeuroImage · Dec 24, 2017Peer-reviewedNeuroscience