Journal article
Local fractal dimension of collagen detects increased spatial complexity in fibrosis
Histochemistry and cell biology, Vol.161(1), pp.29-42
01/2024
DOI: 10.1007/s00418-023-02248-8
PMCID: PMC10794291
PMID: 37938346
Abstract
Increase of collagen content and reorganization characterizes fibrosis but quantifying the latter remains challenging. Spatially complex structures are often analyzed via the fractal dimension; however, established methods for calculating this quantity either provide a single dimension for an entire object or a spatially distributed dimension that only considers binary images. These neglect valuable information related to collagen density in images of fibrotic tissue. We sought to develop a fractal analysis that can be applied to 3-dimensional (3D) images of fibrotic tissue. A fractal dimension map for each image was calculated by determining a single fractal dimension for a small area surrounding each image pixel, using fiber thickness as the third dimension. We found that this local fractal dimension increased with age and with progression of fibrosis regardless of collagen content. Our new method of distributed 3D fractal analysis can thus distinguish between changes in collagen content and organization induced by fibrosis.
Details
- Title: Subtitle
- Local fractal dimension of collagen detects increased spatial complexity in fibrosis
- Creators
- Dylan T Casey - University of VermontKarolyn G Lahue - University of VermontVitor Mori - University of VermontJacob Herrmann - University of IowaJoseph K Hall - Boston UniversityBéla Suki - Boston UniversityYvonne M W Janssen-HeiningerJason H T Bates - University of Vermont
- Resource Type
- Journal article
- Publication Details
- Histochemistry and cell biology, Vol.161(1), pp.29-42
- DOI
- 10.1007/s00418-023-02248-8
- PMID
- 37938346
- PMCID
- PMC10794291
- NLM abbreviation
- Histochem Cell Biol
- eISSN
- 1432-119X
- Grant note
- DOI: 10.13039/100000002, name: National Institutes of Health, award: T32 HL076122, R35 HL135828, U01 HL139466, U01 HL139466, U01 HL139466, U01 HL139466, R35 HL135828, U01 HL139466
- Language
- English
- Electronic publication date
- 11/08/2023
- Date published
- 01/2024
- Academic Unit
- Roy J. Carver Department of Biomedical Engineering
- Record Identifier
- 9984507024402771
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