Towards Interactive Super-Resolution Reconstruction of Whole-Body MRI Mouse Data
A. Khmelinskii, E. Plenge, P. Kok, D. Poot, O. Dzyubachyk, C. P. Botha, E. Suidgeest, W. Niessen, L. van der Weerd, E. Meijering, B. P. F. Lelieveldt
Annual Meeting of the International Society for Magnetic Resonance in Medicine (ISMRM 2012)
Held in Melbourne, Australia, May 5-11, 2012
Super Resolution Reconstruction (SRR) is the process of producing a high-resolution (HR) image from a sequence of low-resolution (LR) images, where each LR image transforms and samples the HR scene in a distinct fashion. SRR in MRI is a developing field, and encouraging results have been published showing its potential in resolution enhancement. However, visualization of HR data is often computationally heavy and requires powerful hardware, and the time necessary to reconstruct large volumes (whole-body mice datasets in this case) can be large. To overcome this disadvantage, we make use of recent progress in the areas of articulated atlas-based segmentation of whole-body small animal data and MRI super-resolution reconstruction (SRR). Here, we present a novel approach for producing highly resolved, localized isotropic volumes-of-interest in whole-body mouse MRI. This enables interactive HR visualization and exploration of anatomical structures in MRI. The idea is similar to that of well-known web-based geographical maps, where it is possible from a global overview image to zoom in on a detail of interest. Such functionality is relevant in a biomedical setting when working with high-resolution volumetric data. Using the method presented in this paper, from a global LR image the user can interactively zoom in on a sub-volume of interest.
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