Comparison of Super Resolution Reconstruction Acquisition Geometries for Use in Mouse Phenotyping

3D isotropic imaging at high spatial resolution (30–100 microns) is important for comparing mouse phenotypes. 3D imaging at high spatial resolutions is limited by long acquisition times and is not possible in many in vivo settings. Super resolution reconstruction (SRR) is a postprocessing technique...

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Main Authors: Niranchana Manivannan, Bradley D. Clymer, Anna Bratasz, Kimerly A. Powell
Format: Article
Language:English
Published: Wiley 2013-01-01
Series:International Journal of Biomedical Imaging
Online Access:http://dx.doi.org/10.1155/2013/820874
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author Niranchana Manivannan
Bradley D. Clymer
Anna Bratasz
Kimerly A. Powell
author_facet Niranchana Manivannan
Bradley D. Clymer
Anna Bratasz
Kimerly A. Powell
author_sort Niranchana Manivannan
collection DOAJ
description 3D isotropic imaging at high spatial resolution (30–100 microns) is important for comparing mouse phenotypes. 3D imaging at high spatial resolutions is limited by long acquisition times and is not possible in many in vivo settings. Super resolution reconstruction (SRR) is a postprocessing technique that has been proposed to improve spatial resolution in the slice-select direction using multiple 2D multislice acquisitions. Any 2D multislice acquisition can be used for SRR. In this study, the effects of using three different low-resolution acquisition geometries (orthogonal, rotational, and shifted) on SRR images were evaluated and compared to a known standard. Iterative back projection was used for the reconstruction of all three acquisition geometries. The results of the study indicate that super resolution reconstructed images based on orthogonally acquired low-resolution images resulted in reconstructed images with higher SNR and CNR in less acquisition time than those based on rotational and shifted acquisition geometries. However, interpolation artifacts were observed in SRR images based on orthogonal acquisition geometry, particularly when the slice thickness was greater than six times the inplane voxel size. Reconstructions based on rotational geometry appeared smoother than those based on orthogonal geometry, but they required two times longer to acquire than the orthogonal LR images.
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spelling doaj-art-1445fde46796456abc49a4486e813a1c2025-02-03T00:59:44ZengWileyInternational Journal of Biomedical Imaging1687-41881687-41962013-01-01201310.1155/2013/820874820874Comparison of Super Resolution Reconstruction Acquisition Geometries for Use in Mouse PhenotypingNiranchana Manivannan0Bradley D. Clymer1Anna Bratasz2Kimerly A. Powell3Department of Electrical and Computer Engineering, The Ohio State University, Columbus, OH 43210, USADepartment of Electrical and Computer Engineering, The Ohio State University, Columbus, OH 43210, USASmall Animal Imaging Shared Resources, The Ohio State University, Columbus, OH 43210, USASmall Animal Imaging Shared Resources, The Ohio State University, Columbus, OH 43210, USA3D isotropic imaging at high spatial resolution (30–100 microns) is important for comparing mouse phenotypes. 3D imaging at high spatial resolutions is limited by long acquisition times and is not possible in many in vivo settings. Super resolution reconstruction (SRR) is a postprocessing technique that has been proposed to improve spatial resolution in the slice-select direction using multiple 2D multislice acquisitions. Any 2D multislice acquisition can be used for SRR. In this study, the effects of using three different low-resolution acquisition geometries (orthogonal, rotational, and shifted) on SRR images were evaluated and compared to a known standard. Iterative back projection was used for the reconstruction of all three acquisition geometries. The results of the study indicate that super resolution reconstructed images based on orthogonally acquired low-resolution images resulted in reconstructed images with higher SNR and CNR in less acquisition time than those based on rotational and shifted acquisition geometries. However, interpolation artifacts were observed in SRR images based on orthogonal acquisition geometry, particularly when the slice thickness was greater than six times the inplane voxel size. Reconstructions based on rotational geometry appeared smoother than those based on orthogonal geometry, but they required two times longer to acquire than the orthogonal LR images.http://dx.doi.org/10.1155/2013/820874
spellingShingle Niranchana Manivannan
Bradley D. Clymer
Anna Bratasz
Kimerly A. Powell
Comparison of Super Resolution Reconstruction Acquisition Geometries for Use in Mouse Phenotyping
International Journal of Biomedical Imaging
title Comparison of Super Resolution Reconstruction Acquisition Geometries for Use in Mouse Phenotyping
title_full Comparison of Super Resolution Reconstruction Acquisition Geometries for Use in Mouse Phenotyping
title_fullStr Comparison of Super Resolution Reconstruction Acquisition Geometries for Use in Mouse Phenotyping
title_full_unstemmed Comparison of Super Resolution Reconstruction Acquisition Geometries for Use in Mouse Phenotyping
title_short Comparison of Super Resolution Reconstruction Acquisition Geometries for Use in Mouse Phenotyping
title_sort comparison of super resolution reconstruction acquisition geometries for use in mouse phenotyping
url http://dx.doi.org/10.1155/2013/820874
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AT annabratasz comparisonofsuperresolutionreconstructionacquisitiongeometriesforuseinmousephenotyping
AT kimerlyapowell comparisonofsuperresolutionreconstructionacquisitiongeometriesforuseinmousephenotyping