Abstract
Fractal analysis is a powerful method for the morphological study of complex systems that is increasingly applied to biomedical images. Spatial resolution and image segmentation are crucial for the discrimination of tissue structures at the multiscale level. In this work, we have applied fractal analysis to high-resolution X-ray phase contrast micro-tomography (XrPCμT) images in both uninjured and injured tissue of a mouse spinal cord. We estimated the fractal dimension (FD) using the box-counting method on tomographic slices segmented at different threshold levels. We observed an increased FD in the ipsilateral injured hemicord compared with the contralateral uninjured tissue, which was almost independent of the chosen threshold. Moreover, we found that images exhibited the highest fractality close to the global histogram threshold level. Finally, we showed that the FD estimate largely depends on the image histogram regardless of tissue appearance. Our results demonstrate that the pre-processing of XrPCμT images is critical to fractal analysis and the estimation of FD
Original language | English |
---|---|
Article number | 48 |
Pages (from-to) | 1-11 |
Number of pages | 11 |
Journal | Condensed Matter |
Volume | 3 |
Issue number | 4 |
DOIs | |
Publication status | Published - Dec 2018 |
Keywords
- Ex vivo mouse spinal cord
- Fractal dimension
- High-resolution X-Ray phase contrast micro tomography
Fingerprint
Dive into the research topics of 'Fractal Dimension Analysis of High-Resolution X-Ray Phase Contrast Micro-Tomography Images at Different Threshold Levels in a Mouse Spinal Cord'. Together they form a unique fingerprint.Equipment
-
Histology platform
Charles Nicaise (Manager), Yves Poumay (Manager) & Valery Bielarz (Other)
Technological Platform Morphology - ImagingFacility/equipment: Equipment
-
Morphology - Imaging
Francesca Cecchet (Manager) & Henri-Francois Renard (Manager)
Technological Platform Morphology - ImagingFacility/equipment: Technological Platform