Bidimensional unconstrained optimization approach to EMD: An algorithm revealing skin perfusion alterations in pseudoxanthoma elasticum patients. (March 2017)
- Record Type:
- Journal Article
- Title:
- Bidimensional unconstrained optimization approach to EMD: An algorithm revealing skin perfusion alterations in pseudoxanthoma elasticum patients. (March 2017)
- Main Title:
- Bidimensional unconstrained optimization approach to EMD: An algorithm revealing skin perfusion alterations in pseudoxanthoma elasticum patients
- Authors:
- Humeau-Heurtier, Anne
Colominas, Marcelo A.
Schlotthauer, Gastón
Etienne, Maxime
Martin, Ludovic
Abraham, Pierre - Abstract:
- Highlights: PXE is an inherited and systemic metabolic disorder that primarily affects skin. We study skin microvascular flow (LSCI data) of PXE and control healthy subjects. LSCI data are studied with 2D-UOA-EMD. We reveal spatial patterns on local textures. These spatial patterns are different in PXE patients and in control subjects. For the first time, microvascular perfusion alterations in PXE subjects are shown. Abstract: Background and Objective: Pseudoxanthoma elasticum (PXE) is an inherited and systemic metabolic disorder that affects the skin, leading among other things to a peau d'orange appearance. Unfortunately, PXE is still poorly understood and there is no existing therapy to treat the disease. Because the skin is the first organ to be affected in PXE, we propose herein a study of skin microvascular perfusion. By means of this analysis, our goal is to increase knowledge of PXE.Methods: For this purpose, microvascular data from patients suffering from PXE and from healthy control subjects were recorded using the laser speckle contrast imaging (LSCI) modality. These data were processed using the recent 2D version of the unconstrained optimization approach to empirical mode decomposition (UOA-EMD). Our work therefore corresponds to the first time this algorithm has been applied to biomedical data.Results: Our study shows that the 2D-UOA-EMD is able to reveal spatial patterns on local textures of LSCI data. Moreover, these spatial patterns differ between PXEHighlights: PXE is an inherited and systemic metabolic disorder that primarily affects skin. We study skin microvascular flow (LSCI data) of PXE and control healthy subjects. LSCI data are studied with 2D-UOA-EMD. We reveal spatial patterns on local textures. These spatial patterns are different in PXE patients and in control subjects. For the first time, microvascular perfusion alterations in PXE subjects are shown. Abstract: Background and Objective: Pseudoxanthoma elasticum (PXE) is an inherited and systemic metabolic disorder that affects the skin, leading among other things to a peau d'orange appearance. Unfortunately, PXE is still poorly understood and there is no existing therapy to treat the disease. Because the skin is the first organ to be affected in PXE, we propose herein a study of skin microvascular perfusion. By means of this analysis, our goal is to increase knowledge of PXE.Methods: For this purpose, microvascular data from patients suffering from PXE and from healthy control subjects were recorded using the laser speckle contrast imaging (LSCI) modality. These data were processed using the recent 2D version of the unconstrained optimization approach to empirical mode decomposition (UOA-EMD). Our work therefore corresponds to the first time this algorithm has been applied to biomedical data.Results: Our study shows that the 2D-UOA-EMD is able to reveal spatial patterns on local textures of LSCI data. Moreover, these spatial patterns differ between PXE patients and control subjects. Quantification measure of these spatial patterns reveals statistical significant differences between PXE and control subjects, in the neck ( p = 0.0004 ) and in the back ( p = 0.0052 ).Conclusions: For the first time, alterations in microvascular perfusion in PXE patients have been revealed. Our findings open new avenues for our understanding of pathophysiologic skin changes in PXE. … (more)
- Is Part Of:
- Computer methods and programs in biomedicine. Volume 140(2017)
- Journal:
- Computer methods and programs in biomedicine
- Issue:
- Volume 140(2017)
- Issue Display:
- Volume 140, Issue 2017 (2017)
- Year:
- 2017
- Volume:
- 140
- Issue:
- 2017
- Issue Sort Value:
- 2017-0140-2017-0000
- Page Start:
- 233
- Page End:
- 239
- Publication Date:
- 2017-03
- Subjects:
- Empirical mode decomposition -- Laser speckle contrast imaging -- Pseudoxanthoma elasticum -- Convex optimization -- Time-frequency -- Data-driven method
Medicine -- Computer programs -- Periodicals
Biology -- Computer programs -- Periodicals
Computers -- Periodicals
Medicine -- Periodicals
Médecine -- Logiciels -- Périodiques
Biologie -- Logiciels -- Périodiques
Biology -- Computer programs
Medicine -- Computer programs
Periodicals
Electronic journals
610.28 - Journal URLs:
- http://www.sciencedirect.com/science/journal/01692607 ↗
http://www.elsevier.com/journals ↗ - DOI:
- 10.1016/j.cmpb.2016.12.016 ↗
- Languages:
- English
- ISSNs:
- 0169-2607
- Deposit Type:
- Legaldeposit
- View Content:
- Available online (eLD content is only available in our Reading Rooms) ↗
- Physical Locations:
- British Library DSC - 3394.095000
British Library DSC - BLDSS-3PM
British Library HMNTS - ELD Digital store - Ingest File:
- 1692.xml