Self-Gated Respiratory Motion Rejection for Optoacoustic Tomography
Respiratory motion in living organisms is known to result in image blurring and loss of resolution, chiefly due to the lengthy acquisition times of the corresponding image acquisition methods. Optoacoustic tomography can effectively eliminate <i>in vivo</i> motion artifacts due to its in...
| Main Authors: | , , , |
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| Format: | Article |
| Language: | English |
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MDPI AG
2019-07-01
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| Series: | Applied Sciences |
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| Online Access: | https://www.mdpi.com/2076-3417/9/13/2737 |
| _version_ | 1819078108601384960 |
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| author | Avihai Ron Neda Davoudi Xosé Luís Deán-Ben Daniel Razansky |
| author_facet | Avihai Ron Neda Davoudi Xosé Luís Deán-Ben Daniel Razansky |
| author_sort | Avihai Ron |
| collection | DOAJ |
| description | Respiratory motion in living organisms is known to result in image blurring and loss of resolution, chiefly due to the lengthy acquisition times of the corresponding image acquisition methods. Optoacoustic tomography can effectively eliminate <i>in vivo</i> motion artifacts due to its inherent capacity for collecting image data from the entire imaged region following a single nanoseconds-duration laser pulse. However, multi-frame image analysis is often essential in applications relying on spectroscopic data acquisition or for scanning-based systems. Thereby, efficient methods to correct for image distortions due to motion are imperative. Herein, we demonstrate that efficient motion rejection in optoacoustic tomography can readily be accomplished by frame clustering during image acquisition, thus averting excessive data acquisition and post-processing. The algorithm’s efficiency for two- and three-dimensional imaging was validated with experimental whole-body mouse data acquired by spiral volumetric optoacoustic tomography (SVOT) and full-ring cross-sectional imaging scanners. |
| first_indexed | 2024-12-21T19:07:51Z |
| format | Article |
| id | doaj.art-fbad600bf5c143a6bdb72917a51b0418 |
| institution | Directory Open Access Journal |
| issn | 2076-3417 |
| language | English |
| last_indexed | 2024-12-21T19:07:51Z |
| publishDate | 2019-07-01 |
| publisher | MDPI AG |
| record_format | Article |
| series | Applied Sciences |
| spelling | doaj.art-fbad600bf5c143a6bdb72917a51b04182022-12-21T18:53:17ZengMDPI AGApplied Sciences2076-34172019-07-01913273710.3390/app9132737app9132737Self-Gated Respiratory Motion Rejection for Optoacoustic TomographyAvihai Ron0Neda Davoudi1Xosé Luís Deán-Ben2Daniel Razansky3Institute for Biological and Medical Imaging, Helmholtz Center Munich, 85764 Neuherberg, GermanyInstitute for Biomedical Engineering and Department of Information Technology and Electrical Engineering, ETH Zurich, 8093 Zurich, SwitzerlandInstitute for Biomedical Engineering and Department of Information Technology and Electrical Engineering, ETH Zurich, 8093 Zurich, SwitzerlandInstitute for Biological and Medical Imaging, Helmholtz Center Munich, 85764 Neuherberg, GermanyRespiratory motion in living organisms is known to result in image blurring and loss of resolution, chiefly due to the lengthy acquisition times of the corresponding image acquisition methods. Optoacoustic tomography can effectively eliminate <i>in vivo</i> motion artifacts due to its inherent capacity for collecting image data from the entire imaged region following a single nanoseconds-duration laser pulse. However, multi-frame image analysis is often essential in applications relying on spectroscopic data acquisition or for scanning-based systems. Thereby, efficient methods to correct for image distortions due to motion are imperative. Herein, we demonstrate that efficient motion rejection in optoacoustic tomography can readily be accomplished by frame clustering during image acquisition, thus averting excessive data acquisition and post-processing. The algorithm’s efficiency for two- and three-dimensional imaging was validated with experimental whole-body mouse data acquired by spiral volumetric optoacoustic tomography (SVOT) and full-ring cross-sectional imaging scanners.https://www.mdpi.com/2076-3417/9/13/2737optoacoustic imagingphotoacoustic tomographyrespiratory gatingmotion artifacts |
| spellingShingle | Avihai Ron Neda Davoudi Xosé Luís Deán-Ben Daniel Razansky Self-Gated Respiratory Motion Rejection for Optoacoustic Tomography Applied Sciences optoacoustic imaging photoacoustic tomography respiratory gating motion artifacts |
| title | Self-Gated Respiratory Motion Rejection for Optoacoustic Tomography |
| title_full | Self-Gated Respiratory Motion Rejection for Optoacoustic Tomography |
| title_fullStr | Self-Gated Respiratory Motion Rejection for Optoacoustic Tomography |
| title_full_unstemmed | Self-Gated Respiratory Motion Rejection for Optoacoustic Tomography |
| title_short | Self-Gated Respiratory Motion Rejection for Optoacoustic Tomography |
| title_sort | self gated respiratory motion rejection for optoacoustic tomography |
| topic | optoacoustic imaging photoacoustic tomography respiratory gating motion artifacts |
| url | https://www.mdpi.com/2076-3417/9/13/2737 |
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