Analysis of micro-vasculature in whole kidney specimens using Micro-CT
Research output: Contribution to journal › Conference article › Contributed › peer-review
Contributors
Abstract
Micro-computed tomography (micro-CT) provides a means for obtaining a detailed three-dimensional description of the structure of micro-vasculature in whole organs. This whole organ description allows for the examination of flow models and self similarity relationships that would otherwise be inaccessible using conventional sampling based descriptions of the micro-vasculature. The number of vessels that compose the micro-vasculature in a whole organ is so large, however, that such analysis is only feasible using automated image processing techniques. In this paper, the segmentation and data representation challenges of such analysis are examined with reference to mouse kidney vasculature. A semi-automated analysis method is described and is applied to a set of mouse kidneys to assess the feasibility and reproducibility of population studies. This analysis includes a new method to separate parallel arterial and venous vessels that are distinct but touching at the resolution of the micro-CT scan. Also described is a new formalism for representing the derived vessel structure that lends itself to regularization. Distributions of arterial and venous structural parameter are presented for six kidneys (three of each) taken from age matched animals of the GD1 strain. These results show a high degree of similarity among specimens and suggest that population studies to examine the influence of subtle disease or genetic factors are feasible.
Details
Original language | English |
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Article number | 07 |
Pages (from-to) | 53-64 |
Number of pages | 12 |
Journal | Proceedings of SPIE - The International Society for Optical Engineering |
Volume | 5535 |
Publication status | Published - 2004 |
Peer-reviewed | Yes |
Conference
Title | Developments in X-Ray Tomography IV |
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Duration | 4 - 6 August 2004 |
City | Denver, CO |
Country | United States of America |
External IDs
ORCID | /0000-0001-8870-0041/work/142251362 |
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Keywords
ASJC Scopus subject areas
Keywords
- Kidney, Micro-computed tomography, Microvasculature, Mouse, Parallel vessels, Segmentation, Skeletonization