Literature DB >> 20577039

Skin age testing criteria: characterization of human skin structures by 500 MHz MRI multiple contrast and image processing.

Rakesh Sharma1.   

Abstract

Ex vivo magnetic resonance microimaging (MRM) image characteristics are reported in human skin samples in different age groups. Human excised skin samples were imaged using a custom coil placed inside a 500 MHz NMR imager for high-resolution microimaging. Skin MRI images were processed for characterization of different skin structures. Contiguous cross-sectional T1-weighted 3D spin echo MRI, T2-weighted 3D spin echo MRI and proton density images were compared with skin histopathology and NMR peaks. In all skin specimens, epidermis and dermis thickening and hair follicle size were measured using MRM. Optimized parameters TE and TR and multicontrast enhancement generated better MRI visibility of different skin components. Within high MR signal regions near to the custom coil, MRI images with short echo time were comparable with digitized histological sections for skin structures of the epidermis, dermis and hair follicles in 6 (67%) of the nine specimens. Skin % tissue composition, measurement of the epidermis, dermis, sebaceous gland and hair follicle size, and skin NMR peaks were signatures of skin type. The image processing determined the dimensionality of skin tissue components and skin typing. The ex vivo MRI images and histopathology of the skin may be used to measure the skin structure and skin NMR peaks with image processing may be a tool for determining skin typing and skin composition.

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Year:  2010        PMID: 20577039     DOI: 10.1088/0031-9155/55/14/002

Source DB:  PubMed          Journal:  Phys Med Biol        ISSN: 0031-9155            Impact factor:   3.609


  2 in total

1.  [Methods for measuring skin aging].

Authors:  M Zieger; M Kaatz
Journal:  Hautarzt       Date:  2016-02       Impact factor: 0.751

2.  MR Imaging of Hair and Scalp for the Evaluation of Androgenetic Alopecia.

Authors:  Shigeyoshi Soga; Taro Koyama; Ayako Mikoshi; Tatsuhiko Arafune; Makoto Kawashima; Kazuhiro Kobayashi; Hiroshi Shinmoto
Journal:  Magn Reson Med Sci       Date:  2020-05-01       Impact factor: 2.471

  2 in total

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