A novel in vivo vascular imaging approach for hierarchical quantification of vasculature using contrast enhanced micro-computed tomography.
The vasculature of body tissues is continuously subject to remodeling processes originating at the micro-vascular level. The formation of new blood vessels (angiogenesis) is essential for a number of physiological and pathophysiological processes such as tissue regeneration, tumor development and th...
Guardado en:
| Autores principales: | , , , |
|---|---|
| Formato: | article |
| Lenguaje: | EN |
| Publicado: |
Public Library of Science (PLoS)
2014
|
| Materias: | |
| Acceso en línea: | https://doaj.org/article/440b4a95f0ef47ae985e770a7170ae01 |
| Etiquetas: |
Agregar Etiqueta
Sin Etiquetas, Sea el primero en etiquetar este registro!
|
| id |
oai:doaj.org-article:440b4a95f0ef47ae985e770a7170ae01 |
|---|---|
| record_format |
dspace |
| spelling |
oai:doaj.org-article:440b4a95f0ef47ae985e770a7170ae012021-11-18T08:35:41ZA novel in vivo vascular imaging approach for hierarchical quantification of vasculature using contrast enhanced micro-computed tomography.1932-620310.1371/journal.pone.0086562https://doaj.org/article/440b4a95f0ef47ae985e770a7170ae012014-01-01T00:00:00Zhttps://www.ncbi.nlm.nih.gov/pmc/articles/pmid/24475146/?tool=EBIhttps://doaj.org/toc/1932-6203The vasculature of body tissues is continuously subject to remodeling processes originating at the micro-vascular level. The formation of new blood vessels (angiogenesis) is essential for a number of physiological and pathophysiological processes such as tissue regeneration, tumor development and the integration of artificial tissues. There are currently no time-lapsed in vivo imaging techniques providing information on the vascular network at the capillary level in a non-destructive, three-dimensional and high-resolution fashion. This paper presents a novel imaging framework based on contrast enhanced micro-computed tomography (micro-CT) for hierarchical in vivo quantification of blood vessels in mice, ranging from largest to smallest structures. The framework combines for the first time a standard morphometric approach with densitometric analysis. Validation tests showed that the method is precise and robust. Furthermore, the framework is sensitive in detecting different perfusion levels after the implementation of a murine ischemia-reperfusion model. Correlation with both histological data and micro-CT analysis of vascular corrosion casts confirmed accuracy of the method. The newly developed time-lapsed imaging approach shows high potential for in vivo monitoring of a number of different physiological and pathological conditions in angiogenesis and vascular development.Laura NebuloniGisela A KuhnJohannes VogelRalph MüllerPublic Library of Science (PLoS)articleMedicineRScienceQENPLoS ONE, Vol 9, Iss 1, p e86562 (2014) |
| institution |
DOAJ |
| collection |
DOAJ |
| language |
EN |
| topic |
Medicine R Science Q |
| spellingShingle |
Medicine R Science Q Laura Nebuloni Gisela A Kuhn Johannes Vogel Ralph Müller A novel in vivo vascular imaging approach for hierarchical quantification of vasculature using contrast enhanced micro-computed tomography. |
| description |
The vasculature of body tissues is continuously subject to remodeling processes originating at the micro-vascular level. The formation of new blood vessels (angiogenesis) is essential for a number of physiological and pathophysiological processes such as tissue regeneration, tumor development and the integration of artificial tissues. There are currently no time-lapsed in vivo imaging techniques providing information on the vascular network at the capillary level in a non-destructive, three-dimensional and high-resolution fashion. This paper presents a novel imaging framework based on contrast enhanced micro-computed tomography (micro-CT) for hierarchical in vivo quantification of blood vessels in mice, ranging from largest to smallest structures. The framework combines for the first time a standard morphometric approach with densitometric analysis. Validation tests showed that the method is precise and robust. Furthermore, the framework is sensitive in detecting different perfusion levels after the implementation of a murine ischemia-reperfusion model. Correlation with both histological data and micro-CT analysis of vascular corrosion casts confirmed accuracy of the method. The newly developed time-lapsed imaging approach shows high potential for in vivo monitoring of a number of different physiological and pathological conditions in angiogenesis and vascular development. |
| format |
article |
| author |
Laura Nebuloni Gisela A Kuhn Johannes Vogel Ralph Müller |
| author_facet |
Laura Nebuloni Gisela A Kuhn Johannes Vogel Ralph Müller |
| author_sort |
Laura Nebuloni |
| title |
A novel in vivo vascular imaging approach for hierarchical quantification of vasculature using contrast enhanced micro-computed tomography. |
| title_short |
A novel in vivo vascular imaging approach for hierarchical quantification of vasculature using contrast enhanced micro-computed tomography. |
| title_full |
A novel in vivo vascular imaging approach for hierarchical quantification of vasculature using contrast enhanced micro-computed tomography. |
| title_fullStr |
A novel in vivo vascular imaging approach for hierarchical quantification of vasculature using contrast enhanced micro-computed tomography. |
| title_full_unstemmed |
A novel in vivo vascular imaging approach for hierarchical quantification of vasculature using contrast enhanced micro-computed tomography. |
| title_sort |
novel in vivo vascular imaging approach for hierarchical quantification of vasculature using contrast enhanced micro-computed tomography. |
| publisher |
Public Library of Science (PLoS) |
| publishDate |
2014 |
| url |
https://doaj.org/article/440b4a95f0ef47ae985e770a7170ae01 |
| work_keys_str_mv |
AT lauranebuloni anovelinvivovascularimagingapproachforhierarchicalquantificationofvasculatureusingcontrastenhancedmicrocomputedtomography AT giselaakuhn anovelinvivovascularimagingapproachforhierarchicalquantificationofvasculatureusingcontrastenhancedmicrocomputedtomography AT johannesvogel anovelinvivovascularimagingapproachforhierarchicalquantificationofvasculatureusingcontrastenhancedmicrocomputedtomography AT ralphmuller anovelinvivovascularimagingapproachforhierarchicalquantificationofvasculatureusingcontrastenhancedmicrocomputedtomography AT lauranebuloni novelinvivovascularimagingapproachforhierarchicalquantificationofvasculatureusingcontrastenhancedmicrocomputedtomography AT giselaakuhn novelinvivovascularimagingapproachforhierarchicalquantificationofvasculatureusingcontrastenhancedmicrocomputedtomography AT johannesvogel novelinvivovascularimagingapproachforhierarchicalquantificationofvasculatureusingcontrastenhancedmicrocomputedtomography AT ralphmuller novelinvivovascularimagingapproachforhierarchicalquantificationofvasculatureusingcontrastenhancedmicrocomputedtomography |
| _version_ |
1718421556715061248 |