Medical Technologies Journal, Volume: 2, Issue: 3, July-September 2018, Pages:257-265. Doi :https://doi.org/10.26415/2572-004X-vol2iss1p255-261 255 Segmentation Method of Skin MRI High Resolution in vivo Type of article: Original article. Rachida Zegour 1 ,Ahror Belaid 2 , Douraied Ben Salem 3,4 1 .Ph.D. student at Medical Computing Laboratory (LIMED), Faculty of Exact Sciences,University of Abderrahmane Mira of Bejaia, Algeria. 2 . Assistant professorat Medical Computing Laboratory (LIMED), Faculty of Exact Sciences,University of Abderrahmane Mira of Bejaia, Algeria. 3 . Professor at INSERM UMR 1101 Laboratory of Medical Information Processing (LaTIM), 5 avenue Foch, 29200 Brest, France. 4 .Professor at Neuroradiology Department, CHRU-Brest, boulevard Tanguy-Prigent, 29609 Brest, France. zegourr@gmail.com,ahror.belaid@univ-bejaia.dz, douraied.bensalem@chu-brest.fr Abstract: Background: Recently, Magnetic Resonance Imaging (MRI) has beenused 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 anatomy and to observe the different skin’s layers. However,MRI provides a big data with high quality. The analysis of these data requires computerized methods to help clinicians and to improve diagnosis.Several image processing methods have been used by doctors’ tofacilitatequalitative diagnosis, segmentation is one of these methods used in clinical applications in order to understand medical data and extract useful information. Thisstudy aimsto use the segmentation method in order to observe the anatomy of skin layers before and after applying moisturizer. 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, which is used to segment our MR data represented bya sample of thirty-five (35) healthy. Results: We have observed the skin’s layers before and after applying moisturizer topic of the feet as a result of the FCM segmentation method. Our study showed that FCM is anefficient Algorithm used for medical images, because of its fuzzy nature; also it gives images segmentation results with different classes of skin layers before and after the application of moisturizer topic. Conclusion: MRI is an attractive modality to study the human skin; it makes an ideal observation of the different skin layers in vivo. However, the segmentation of MRI data by FCM clustering is a computerized method to help clinicians in order to study the skin anatomy. Keywords: MRI High Resolution, segmentation, FCM. Corresponding author:RachidaZegour, Medical Computing Laboratory (LIMED), Faculty of Exact Sciences,University of Abderrahmane Mira of Bejaia, Algeria Email: zegourr@gmail.com Received: Mai 30, 2018, Accepted: September 02, 2018, English editing: September 28, 2018, Published: September 30, 2018. Screened by iThenticate.©2017-2018 KNOWLEDGE KINGDOM PUBLISHING.