Three-Dimensional Multiscale Fuzzy Entropy: Validation and Application to Idiopathic Pulmonary Fibrosis

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<inline-formula><tex-math notation="LaTeX">_{3D}</tex-math...

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Vydáno v:IEEE journal of biomedical and health informatics Ročník 25; číslo 1; s. 100 - 107
Hlavní autoři: Gaudencio, Andreia Sofia F., Vaz, Pedro G., Hilal, Mirvana, Cardoso, Joao M., Mahe, Guillaume, Lederlin, Mathieu, Humeau-Heurtier, Anne
Médium: Journal Article
Jazyk:angličtina
Vydáno: United States IEEE 01.01.2021
The Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Institute of Electrical and Electronics Engineers
Témata:
Algorithms
Biomedical data
Biomedical measurement
Computed tomography
CT scan
Diseases
Engineering Sciences
Entropy
Entropy (Information theory)
Fibrosis
fuzzy entropy
idiopathic pulmonary fibrosis
Informatics
Information theory
Life expectancy
Life span
Lung
Lung diseases
Medical imaging
multiscale analysis
noise signals
Pulmonary fibrosis
Signal and Image processing
Three-dimensional displays
ISSN:2168-2194, 2168-2208, 2168-2208
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Shrnutí: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<inline-formula><tex-math notation="LaTeX">_{3D}</tex-math></inline-formula>) 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<inline-formula><tex-math notation="LaTeX">_{3D}</tex-math></inline-formula> were consistent with the values obtained using the one, and two-dimensional versions, validating its use in biomedical data. Hence, MFE<inline-formula><tex-math notation="LaTeX">_{3D}</tex-math></inline-formula> 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<inline-formula><tex-math notation="LaTeX">_{3D}</tex-math></inline-formula> could be an interesting metric to identify IPF in CT scans.
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ISSN:2168-2194
2168-2208
2168-2208
DOI:10.1109/JBHI.2020.2986210