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Three-Dimensional Multiscale Fuzzy Entropy: Validation and Application to Idiopathic Pulmonary Fibrosis.
- Source :
-
IEEE journal of biomedical and health informatics [IEEE J Biomed Health Inform] 2021 Jan; Vol. 25 (1), pp. 100-107. Date of Electronic Publication: 2021 Jan 05. - Publication Year :
- 2021
-
Abstract
- Idiopathic Pulmonary Fibrosis (IPF) is a chronic, severe, and progressive lung disease with short life expectancy. Based on information theory and entropy measurement, a three-dimensional multiscale fuzzy entropy (MFE <subscript>3D</subscript> ) algorithm is proposed to identify IPF patients from their computed tomography (CT) volumetric data. First, the validation of the algorithm was performed by analyzing several volumetric synthetic noises (white, blue, brown, and pink), MIX(p) processes-based volumes, and texture-based volumes. The entropy values obtained by MFE <subscript>3D</subscript> were consistent with the values obtained using the one, and two-dimensional versions, validating its use in biomedical data. Hence, MFE <subscript>3D</subscript> was applied to CT scans to identify the existence of IPF within two different groups, one of healthy subjects (26) and another of IPF patients (26). Statistical differences were found (p < 0.05) between the entropy values of each group in 5 scale factors out of 10. These results demonstrate that MFE <subscript>3D</subscript> could be an interesting metric to identify IPF in CT scans.
Details
- Language :
- English
- ISSN :
- 2168-2208
- Volume :
- 25
- Issue :
- 1
- Database :
- MEDLINE
- Journal :
- IEEE journal of biomedical and health informatics
- Publication Type :
- Academic Journal
- Accession number :
- 32287027
- Full Text :
- https://doi.org/10.1109/JBHI.2020.2986210