Paper Info
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.
Year
DOI
Venue
2012
10.1117/12.911445
Proceedings of SPIE
Keywords
Field
DocType
scientific research,visualization,clinical medicine,super resolution,magnetism
Computer vision,Oblique case,Markov random field,Segmentation,Computer science,Visualization,Preprocessor,Artificial intelligence,Sagittal plane,Tongue,Vocal tract
Conference
Volume
ISSN
Citations 
8314
0277-786X
3
PageRank 
References 
Authors
0.45
3
6
Name
Order
Citations
PageRank
Jonghye Woo113221.21
Ying Bai281.04
Snehashis Roy323923.70
Emi Z. Murano4666.58
M. Stone58111.74
Jerry L. Prince64990488.42