title: Super-resolution reconstruction using cross-scale self-similarity in multi-slice MRI.
abstract: In MRI, the relatively thick slices of multi-slice acquisitions often hamper visualization and analysis of the underlying anatomy. A group of post-processing techniques referred to as super-resolution reconstruction (SRR) have been developed to address this issue. In this study, we present a novel approach to SRR in MRI, which exploits the high-resolution content usually available in the 2D slices of MRI slice stacks to reconstruct isotropic high-resolution 3D images. Relying on the assumption of local self-similarity of anatomical structures, the method can be applied both to a single slice stack and to the combination of multiple slice stacks that differ in the orientation of their field of view. We evaluate the method quantitatively on synthetic brain MRI and qualitatively on MRI of the lungs. The results show that the method outperforms state-of-the-art MRI super-resolution methods.
authors: Erasmus MC-University Medical Center Rotterdam P.O. Box 2040, 3000 CA Rotterdam, The Netherlands.
authors: Esben
authors: E
authors: Plenge
authors: Erasmus MC-University Medical Center Rotterdam P.O. Box 2040, 3000 CA Rotterdam, The Netherlands.
authors: Dirk H J
authors: DH
authors: Poot
authors: Erasmus MC-University Medical Center Rotterdam P.O. Box 2040, 3000 CA Rotterdam, The Netherlands.
authors: Wiro J
authors: WJ
authors: Niessen
authors: Erasmus MC-University Medical Center Rotterdam P.O. Box 2040, 3000 CA Rotterdam, The Netherlands.
authors: Erik
authors: E
authors: Meijering
mesh_terms: D000465:Algorithms; D001921:Brain / Q000033:anatomy & histology*; D006801:Humans; D007089:Image Enhancement / Q000379:methods*; D007090:Image Interpretation, Computer-Assisted / Q000379:methods*; D021621:Imaging, Three-Dimensional / Q000379:methods*; D008168:Lung / Q000033:anatomy & histology*; D008279:Magnetic Resonance Imaging / Q000379:methods*; D015203:Reproducibility of Results; D012680:Sensitivity and Specificity