English

Probing Tissue Multifractality Using Wavelet based Multifractal Detrended Fluctuation Analysis: Applications in Precancer Detection

Medical Physics 2011-12-23 v1 Data Analysis, Statistics and Probability

Abstract

The refractive index fluctuations in the connective tissue layer (stroma) of human cervical tissues having different grades of precancers (dysplasia) was quantified using a wavelet-based multifractal detrended fluctuation analysis model. The results show clear signature of multi-scale self-similarity in the index fluctuations of the tissues. Importantly, the refractive index fluctuations were found to be more anti-correlated at higher grades of precancers. Moreover, the strength of multifractality was also observed to be considerably weaker in higher grades of precancers. These results were further complemented by Fourier domain analysis of the spectral fluctuations.

Keywords

Cite

@article{arxiv.1107.2475,
  title  = {Probing Tissue Multifractality Using Wavelet based Multifractal Detrended Fluctuation Analysis: Applications in Precancer Detection},
  author = {Jalpa Soni and Gregor P. Jose and Sayantan Ghosh and Asima Pradhan and Tapas K. Sengupta and Prasanta K. Panigrahi and Nirmalya Ghosh},
  journal= {arXiv preprint arXiv:1107.2475},
  year   = {2011}
}

Comments

5 pages, 6 figures, accepted at The 4th International Conference on BioMedical Engineering and Informatics, Shanghai China, 11-17 October, 2011

R2 v1 2026-06-21T18:35:57.745Z