A Segmentation Method of Skin MRI 3D High Resolution in vivo

Authors

  • ZEGOUR Rachida Medical Computing Laboratory (LIMED), Faculty of Exact Sciences,University of Abderrahmane Mira of Bejaia, Algeria. Author
  • Ahror Belaid Medical Computing Laboratory (LIMED), Faculty of Exact Sciences,University of Abderrahmane Mira of Bejaia, Algeria. Author
  • Douraied Ben Salem INSERM UMR 1101,Laboratory of Medical Information Processing (LaTIM), 5 avenue Foch, 29200 Brest, France, Neuroradiology and Forensic Imaging Department, CHRU Brest, La Cavale Blanche Hospital. Boulevard Tanguy Prigent, 29609 Brest, France Author

DOI:

https://doi.org/10.26415/2572-004X-vol2iss3p255-261

Keywords:

MRI High Resolution, segmentation, FCM.

Abstract

Background: In recent years, Magnetic Resonance Imaging (MRI) is used in clinical application as non-invasive medical modality, it is rarely used to study the anatomy physiological, and biochemical of the skin, in spite of its very attractive modality for skin imaging. It makes an ideal imaging modality of unique soft tissue contrast to study the skin water content and to differentiate between the different skin layers. However MRI provides a big data with high quality. The analysis of these data require computerized methods to help clinicians and to improve disease of diagnosis. Several image processing method have been extensively used to assist doctors in qualitative diagnosis, segmentation is one of the most methods used in medical image processing for many applications in order to understand medical data and extract useful information.

The purpose of this study is to use the segmentation method to measure the hydration of skin using MRI modality.

Methods: We will classify segmentation approaches for MRI data into three basics classes: Edge based segmentation, Region based segmentation, and Thresholding segmentation. Then we will briefly describe Fuzzy C-means Clustering method. Furthermore, we will give some related works used FCM algorithm with MRI images.

Results: We have measured the hydration of the feet as a result of the FCM segmentation method, where the sample of the study was conducted on 35 healthy volunteers, who were scanned by MRI machine before applying moisturizer and one hour after.

Conclusion: MRI is an attractive modality to study the skin water content, it makes an ideal observation of the different skin layers in vivo with three dimensions. However, the segmentation of MRI data by FCM clustering is a computerized method to help clinicians in order to measure skin hydration.

 

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Author Biographies

  • ZEGOUR Rachida, Medical Computing Laboratory (LIMED), Faculty of Exact Sciences,University of Abderrahmane Mira of Bejaia, Algeria.

    Rachida ZEGOUR is currently a Ph.D. student in Medical Computing Laboratory (LIMED) at Mira Abderahmen university, Bejaia, Algeria. She obtained her Master’s degree in 2015 from M’Hamed Bouguerra University, Boumerdes, Algeria. Currently, she is working onsegmentation of medical images (MRI) using Fuzzy methods. Her main research interests include medical image processing and machine learning.

  • Ahror Belaid, Medical Computing Laboratory (LIMED), Faculty of Exact Sciences,University of Abderrahmane Mira of Bejaia, Algeria.

    Dr. Ahror BELAIDreceived the M. S. degree in Operation Research from University of Abderrahmane Mira, Bejaia, Algeria. He received his Ph.D. degree at the Department of Information Processing Engineering, Heudiasyc laboratory, Compiègne University of Technology, France. He is currently Associate Professor with the Department of Computer Science, Abderrahmane Mira University. His current research interests include Image Processing and Machine Learning.

  • Douraied Ben Salem, INSERM UMR 1101,Laboratory of Medical Information Processing (LaTIM), 5 avenue Foch, 29200 Brest, France, Neuroradiology and Forensic Imaging Department, CHRU Brest, La Cavale Blanche Hospital. Boulevard Tanguy Prigent, 29609 Brest, France

    Douraied BEN SALEM, MD, PhD, is Professor of Radiology at the University of Western Brittany (UBO, Brest, France) and member of the Laboratory of medical information processing —LaTIM, INSERM UMR 1101 (Brest, France).He received his medical and doctoral degree from the University of Burgundy (Dijon, France). He is Associate Editor of the "Journal of Neuroradiology" and member of the Editorial Board of "Heliyon" and of  the "Journal of Forensic Radiology and Imaging".

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Published

2018-09-30

Issue

Vol. 2 No. 3 (2018): July- September 2018

Section

Medical technologies