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Optimizing large organ scale micro computed tomography imaging in pig and human hearts using a novel air-drying technique
- Publication Year :
- 2021
- Publisher :
- Cold Spring Harbor Laboratory, 2021.
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Abstract
- Underlying electrical propagation in the heart and potentially fatal arrhythmia is the cardiac microstructure. Despite the critical role of muscle architecture, a non-destructive approach to examine not only myocyte orientation, but cellular arrangement in to laminar organization is lacking in hearts from translational animal models and humans. X-ray micro computed tomography using contrast enhancing agents achieves three-dimensional images at near-histological resolutions. However, imaging large mammalian hearts presents challenges including X-ray over-attenuation and loss of image contrast. The goal of this study was to rethink tissue pre-treatment to optimize, and benefit from micro computed tomography imaging resolution in large tissues. Whole pig and human hearts were dehydrated and perfused with a tissue reinforcing agent, hexamethyldisilazane, and slowly air-dried. Heart morphology was conserved and temporally stable. This enabled direct air-mounting for micro computed tomography imaging. Moreover, the desiccated tissue density was significantly reduced compared to the initial hydrated state (P=0.04). Three-dimensional image reconstructions of air-dried hearts segmented using a single intensity threshold revealed detailed microstructural architecture of myolaminae. Conversely, one-step segmentation of hearts loaded with contrast agents poorly estimated the gross anatomical morphology of the heart and lacked identification of tissue microarchitecture. Air-drying large mammalian hearts optimizes X-ray imaging of cardiac microstructure.
- Subjects :
- Laminar organization
[SDV.IB.IMA] Life Sciences [q-bio]/Bioengineering/Imaging
Materials science
[SDV.IB.IMA]Life Sciences [q-bio]/Bioengineering/Imaging
Orientation (computer vision)
Heart morphology
Micro computed tomography
Myocyte
Air drying
Tissue density
Image contrast
Biomedical engineering
Subjects
Details
- Database :
- OpenAIRE
- Accession number :
- edsair.doi.dedup.....47e56bed09be0992d035f88918625ef0
- Full Text :
- https://doi.org/10.1101/2021.07.29.454121