Super-resolution reconstruction of whole-body MRI mouse data: An interactive approach

A. Khmelinskii*, E. Plenge, P. Kok, O. Dzyubachyk, D. H.J. Poot, E. Suidgeest, C. P. Botha, W. J. Niessen, L. Van Der Weerd, E. Meijering, B. P.F. Lelieveldt

*Corresponding author for this work

Research output: Chapter/Conference proceedingConference proceedingAcademicpeer-review

5 Citations (Scopus)

Abstract

Super-resolution reconstruction (SRR) is a post-acquisition method for producing a high-resolution (HR) image from a set of low-resolution (LR) images. However, for large volumes of data, this technique is computationally very demanding and time consuming. In this study we focus on the specific case of whole-body mouse data and present a novel, integrated, end-to-end approach to overcome this problem. We combine articulated atlas-based segmentation and planar reformation techniques with state-of-the-art in SRR to produce high resolution, interactively selected, localized isotropic volumes-of-interest in whole-body mouse MRI. With this method we overcome time and memory related limitations when applying the SRR algorithm to the entire dataset, enabling interactive visualization and exploration of anatomical structures of interest in whole-body MRI mouse data on a normal desktop PC.

Original languageEnglish
Title of host publication2012 9th IEEE International Symposium on Biomedical Imaging
Subtitle of host publicationFrom Nano to Macro, ISBI 2012 - Proceedings
Pages1723-1726
Number of pages4
DOIs
Publication statusPublished - 2012
Event2012 9th IEEE International Symposium on Biomedical Imaging: From Nano to Macro, ISBI 2012 - Barcelona, Spain
Duration: 2 May 20125 May 2012

Publication series

SeriesProceedings - International Symposium on Biomedical Imaging
ISSN1945-7928

Conference

Conference2012 9th IEEE International Symposium on Biomedical Imaging: From Nano to Macro, ISBI 2012
Country/TerritorySpain
CityBarcelona
Period2/05/125/05/12

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