Super-resolution reconstruction for tongue MR images

Jonghye Woo; Ying Bai; Snehashis Roy; Emi Z. Murano; Maureen Stone; Jerry L. Prince

doi:10.1117/12.911445

14 February 2012 Super-resolution reconstruction for tongue MR images

Jonghye Woo, Ying Bai, Snehashis Roy, Emi Z. Murano, Maureen Stone, Jerry L. Prince

Proceedings Volume 8314, Medical Imaging 2012: Image Processing; 83140C (2012) https://doi.org/10.1117/12.911445
Event: SPIE Medical Imaging, 2012, San Diego, California, United States

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.

Citation Download Citation

Jonghye Woo, Ying Bai, Snehashis Roy, Emi Z. Murano, Maureen Stone, and Jerry L. Prince "Super-resolution reconstruction for tongue MR images", Proc. SPIE 8314, Medical Imaging 2012: Image Processing, 83140C (14 February 2012); https://doi.org/10.1117/12.911445

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