Evaluation of methods for 3D imaging and analysis of vascularisation in biopreparations
Motivation: Within the field of bio-implants one topic deals with the in-vitro production of 3D tissues from cell cultures. A major challenge in the cultivation of biopreparations is the imitation of the vascular system with its surrounding tissue. Additiv manufacturing of such vascularisation could...
| Main Authors: | , , , , , , , , , |
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| Format: | Article |
| Language: | English |
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De Gruyter
2022-09-01
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| Series: | Current Directions in Biomedical Engineering |
| Subjects: | |
| Online Access: | https://doi.org/10.1515/cdbme-2022-1017 |
| _version_ | 1797947900815212544 |
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| author | Zöller Nora Franke Lisa Claussen Joelle Gerth Stefan Rauh Cornelia Radlanski Ralf J. Hiller Karl-Heinz Hildenbrand Markus F. Wittenberg Thomas Hufnagel Eva |
| author_facet | Zöller Nora Franke Lisa Claussen Joelle Gerth Stefan Rauh Cornelia Radlanski Ralf J. Hiller Karl-Heinz Hildenbrand Markus F. Wittenberg Thomas Hufnagel Eva |
| author_sort | Zöller Nora |
| collection | DOAJ |
| description | Motivation: Within the field of bio-implants one topic deals with the in-vitro production of 3D tissues from cell cultures. A major challenge in the cultivation of biopreparations is the imitation of the vascular system with its surrounding tissue. Additiv manufacturing of such vascularisation could be supported with an adequate template from high-resolution 3D radiographs. Goals: Evaluation of highresolution 3D-imaging methods and 3D-analysis approaches to extract the vascularisation from tissue samples. Methods: To provide such template, vascular structure of small tissues samples (partially treated with contrast medium) were recorded and compared using high-resolution CT and MRI imaging modalities. Optimal measurement parameters were selected for the acquisition of very small vessels. Interactive and semi-automated segmentation of the vessel system were investigated and compared. Results: MRI scans yield a higher contrast than CT scans, but are much slower. Duration of interactive segmentation ranges between 1 to 12 hours. Runtime of the (semi) automatic method was between 5 and 20 minutes, not counting manual adjustment of the parameters. Correlation between manual and automatic segmentation yield Hausdorff distances of 0.024 (CT) and 0.74 (MRI) and Dice coefficients of 0.7 (CT) and 0.39 (MRI). Conclusion: Both imaging methods are appropriate for high-resolution vessel detection and segmentation, nevertheless, MRI with no contrast agent seems preferable if the imaging time can be reduced. |
| first_indexed | 2024-04-10T21:33:50Z |
| format | Article |
| id | doaj.art-8aa0b2f9f930472aadb63dcf88419943 |
| institution | Directory Open Access Journal |
| issn | 2364-5504 |
| language | English |
| last_indexed | 2024-04-10T21:33:50Z |
| publishDate | 2022-09-01 |
| publisher | De Gruyter |
| record_format | Article |
| series | Current Directions in Biomedical Engineering |
| spelling | doaj.art-8aa0b2f9f930472aadb63dcf884199432023-01-19T12:47:02ZengDe GruyterCurrent Directions in Biomedical Engineering2364-55042022-09-0182616410.1515/cdbme-2022-1017Evaluation of methods for 3D imaging and analysis of vascularisation in biopreparationsZöller Nora0Franke Lisa1Claussen Joelle2Gerth Stefan3Rauh Cornelia4Radlanski Ralf J.5Hiller Karl-Heinz6Hildenbrand Markus F.7Wittenberg Thomas8Hufnagel Eva9Fraunhofer IIS, Development Center X-Ray Technology,Furth / Wurzburg, GermanyTU Berlin, Dept. Food Biotechnology and Food Process Engineering,Berlin, GermanyFraunhofer IIS, Development Center X-Ray Technology,Furth / Wurzburg, GermanyFraunhofer IIS, Development Center X-Ray Technology,Furth / Wurzburg, GermanyTU Berlin, Dept. Food Biotechnology and Food Process Engineering,Berlin, GermanyCharite – Universitatsmedizin,Berlin, GermanyFraunhofer IIS, Development Center X-Ray Technology,Furth / Wurzburg, GermanyFraunhofer IIS, Development Center X-Ray Technology,Furth / Wurzburg, GermanyFraunhofer IIS and Friedrich-Alexander-UniversitatErlangen-Nurnberg, GermanyFraunhofer IIS, Development Center X-Ray Technology,Furth / Wurzburg, GermanyMotivation: Within the field of bio-implants one topic deals with the in-vitro production of 3D tissues from cell cultures. A major challenge in the cultivation of biopreparations is the imitation of the vascular system with its surrounding tissue. Additiv manufacturing of such vascularisation could be supported with an adequate template from high-resolution 3D radiographs. Goals: Evaluation of highresolution 3D-imaging methods and 3D-analysis approaches to extract the vascularisation from tissue samples. Methods: To provide such template, vascular structure of small tissues samples (partially treated with contrast medium) were recorded and compared using high-resolution CT and MRI imaging modalities. Optimal measurement parameters were selected for the acquisition of very small vessels. Interactive and semi-automated segmentation of the vessel system were investigated and compared. Results: MRI scans yield a higher contrast than CT scans, but are much slower. Duration of interactive segmentation ranges between 1 to 12 hours. Runtime of the (semi) automatic method was between 5 and 20 minutes, not counting manual adjustment of the parameters. Correlation between manual and automatic segmentation yield Hausdorff distances of 0.024 (CT) and 0.74 (MRI) and Dice coefficients of 0.7 (CT) and 0.39 (MRI). Conclusion: Both imaging methods are appropriate for high-resolution vessel detection and segmentation, nevertheless, MRI with no contrast agent seems preferable if the imaging time can be reduced.https://doi.org/10.1515/cdbme-2022-1017bio-imagingvascularisationmrict3dreconstruction |
| spellingShingle | Zöller Nora Franke Lisa Claussen Joelle Gerth Stefan Rauh Cornelia Radlanski Ralf J. Hiller Karl-Heinz Hildenbrand Markus F. Wittenberg Thomas Hufnagel Eva Evaluation of methods for 3D imaging and analysis of vascularisation in biopreparations Current Directions in Biomedical Engineering bio-imaging vascularisation mri ct 3dreconstruction |
| title | Evaluation of methods for 3D imaging and analysis of vascularisation in biopreparations |
| title_full | Evaluation of methods for 3D imaging and analysis of vascularisation in biopreparations |
| title_fullStr | Evaluation of methods for 3D imaging and analysis of vascularisation in biopreparations |
| title_full_unstemmed | Evaluation of methods for 3D imaging and analysis of vascularisation in biopreparations |
| title_short | Evaluation of methods for 3D imaging and analysis of vascularisation in biopreparations |
| title_sort | evaluation of methods for 3d imaging and analysis of vascularisation in biopreparations |
| topic | bio-imaging vascularisation mri ct 3dreconstruction |
| url | https://doi.org/10.1515/cdbme-2022-1017 |
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