Abstract
Clinical interpretation, diagnosis and treatment are subject to integrating a myriadof different data, which in their turn characterise a large number of pathological attributes.More often than not this complex array of data is difficult to interpret byphysicians and often not conducive to gaining an understanding of disease processes.The use of fractal analysis for the characterisation of disease acknowledges the complexfactors leading to the data collected. This chapter looks at monofractal analysisapplied to biological structures and to time series measurements relevant to the understandingof disease. We show that fractal analysis, while being a useful tool forcharacterisation of structure, can also lead to new understanding of disease progression.
| Original language | British English |
|---|---|
| Title of host publication | Classification and Application of Fractals |
| Subtitle of host publication | New Research |
| Publisher | Nova Science Publishers, Inc. |
| Pages | 277-302 |
| Number of pages | 26 |
| ISBN (Print) | 9781613241042 |
| State | Published - Oct 2012 |
Keywords
- Branching structures
- Diagnosis
- Fractal dimension
- Pathology
Fingerprint
Dive into the research topics of 'Fractal analysis in clinical screening and investigation'. Together they form a unique fingerprint.Cite this
- APA
- Author
- BIBTEX
- Harvard
- Standard
- RIS
- Vancouver