title: A super-resolution framework for 3-D high-resolution and high-contrast imaging using 2-D multislice MRI.
abstract: A novel super-resolution reconstruction (SRR) framework in magnetic resonance imaging (MRI) is proposed. Its purpose is to produce images of both high resolution and high contrast desirable for image-guided minimally invasive brain surgery. The input data are multiple 2-D multislice inversion recovery MRI scans acquired at orientations with regular angular spacing rotated around a common frequency encoding axis. The output is a 3-D volume of isotropic high resolution. The inversion process resembles a localized projection reconstruction problem. Iterative algorithms for reconstruction are based on the projection onto convex sets (POCS) formalism. Results demonstrate resolution enhancement in simulated phantom studies, and ex vivo and in vivo human brain scans, carried out on clinical scanners. A comparison with previously published SRR methods shows favorable characteristics in the proposed approach.
authors.affiliation: Department of Electrical and Computer Engineering, Georgia Institute of Technology, Atlanta, GA 30332 USA. richard.shilling@gatech.edu
authors.forename: Richard Z
authors.initials: RZ
authors.lastname: Shilling
authors.forename: Trevor Q
authors.initials: TQ
authors.lastname: Robbie
authors.forename: Timothée
authors.initials: T
authors.lastname: Bailloeul
authors.forename: Klaus
authors.initials: K
authors.lastname: Mewes
authors.forename: Russell M
authors.initials: RM
authors.lastname: Mersereau
authors.forename: Marijn E
authors.initials: ME
authors.lastname: Brummer
mesh_terms: D000465:Algorithms; D001921:Brain / Q000033:anatomy & histology*; D006801:Humans; D007091:Image Processing, Computer-Assisted / Q000379:methods*; D008279:Magnetic Resonance Imaging / Q000379:methods*; D019047:Phantoms, Imaging; D012984:Software