title: Super-resolution Reconstruction for Tongue MR Images.
abstract: Magnetic resonance (MR) images of the tongue have been used in both clinical medicine and scientific research to reveal tongue structure and motion. In order to see different features of the tongue and its relation to the vocal tract it is beneficial to acquire three orthogonal image stacks-e.g., axial, sagittal and coronal volumes. In order to maintain both low noise and high visual detail, each set of images is typically acquired with in-plane resolution that is much better than the through-plane resolution. As a result, any one data set, by itself, is not ideal for automatic volumetric analyses such as segmentation and registration or even for visualization when oblique slices are required. This paper presents a method of super-resolution reconstruction of the tongue that generates an isotropic image volume using the three orthogonal image stacks. The method uses preprocessing steps that include intensity matching and registration and a data combination approach carried out by Markov random field optimization. The performance of the proposed method was demonstrated on five clinical datasets, yielding superior results when compared with conventional reconstruction methods.
authors.affiliation: University of Maryland, Baltimore MD 21201; Johns Hopkins University, Baltimore MD 21218.
authors.forename: Jonghye
authors.initials: J
authors.lastname: Woo
authors.affiliation: HeartFlow Inc., Redwood City CA 94063.
authors.forename: Ying
authors.initials: Y
authors.lastname: Bai
authors.affiliation: Johns Hopkins University, Baltimore MD 21218.
authors.forename: Snehashis
authors.initials: S
authors.lastname: Roy
authors.affiliation: Johns Hopkins University, Baltimore MD 21218.
authors.forename: Emi Z
authors.initials: EZ
authors.lastname: Murano
authors.affiliation: University of Maryland, Baltimore MD 21201.
authors.forename: Maureen
authors.initials: M
authors.lastname: Stone
authors.affiliation: Johns Hopkins University, Baltimore MD 21218.
authors.forename: Jerry L
authors.initials: JL
authors.lastname: Prince