title: [Improved reconstruction for PROPELLER data in magnetic resonance imaging based on fuzzy enhancement].
abstract: To improve the conventional reconstruction algorithm for PROPELLER MRI data, we propose a new algorithm based on fuzzy enhancement. The motion parameters were extracted from fuzzy enhanced images reconstructed through zero-padding strips. After motion compensation, the image was obtained through gridding reconstruction. The experiment results showed that this algorithm could estimate and compensate the motion more robustly and precisely, and the motion artifacts could be better suppressed to obtain improved image quality.
authors.affiliation: Key Lab of Medical Image Processing, Southern Medical University, Guangzhou 510515, China. fengqj99@ fimmu.com
authors.forename: Qian-jin
authors.initials: QJ
authors.lastname: Feng
authors.forename: Wu-fan
authors.initials: WF
authors.lastname: Chen
mesh_terms: D000465:Algorithms; D001921:Brain / Q000000981:diagnostic imaging; D006801:Humans; D007089:Image Enhancement / Q000379:methods*; D008279:Magnetic Resonance Imaging / Q000379:methods*; D011859:Radiography