论文信息 - Novel computer-based processing techniques for quantitative measurement of skin structures

Novel computer-based processing techniques for quantitative measurement of skin structures

Measuring skin structures quantitatively has many applications in dermatology and cosmetology. The purpose of this research was to extend from previous image processing and counting techniques to overcome challenges in time efficiency, customization for each image, and staining differences between images. Performances of the new techniques are then compared with traditional methods. The application of interest is the analysis of structural changes in skin responding to repetitive mechanical stress. The image processing and analysis methods for quantitative measurement of skin structures described in this paper represent an advancement over previous computer processing methods in terms of data management and automation. Results showed significant differences in cellular density in the papillary dermis and collagen density in the reticular dermis for skin subjected to combined shear/compression or tension compared with an unstressed control. The computer method took longer to conduct than the traditional method, though with recent advances in computer hardware this time difference would be eliminated. Keywords: Optical microscope, computerized morphometry, quantitative morphology, image processing, skin

Chunhai Hu | Weidong Liu | Yinhui Xia

[1] M Masseroli,et al. Quantitative morphology and shape classification of neurons by computerized image analysis. , 1993, Computer methods and programs in biomedicine.

[2] D. Leotta,et al. Image processing techniques for quantitative analysis of skin structures. , 1999, Computer methods and programs in biomedicine.

[3] D W Cotton,et al. Computer‐assisted image analysis of skin surface replicas , 1991, The British journal of dermatology.

[4] S. Akazaki,et al. Mechanical methods for evaluating skin surface architecture in relation to wrinkling. , 2001, Journal of dermatological science.

[5] T. W. Ridler,et al. Picture thresholding using an iterative selection method. , 1978 .

[6] D M Hyde,et al. Computer‐assisted morphometry: Point, intersection, and profile counting and three‐dimensional reconstruction , 1992, Microscopy research and technique.

[7] N. Bonnet,et al. Quantitative analysis and cartography in scanning electron microscopy: Application to the study of bacterial adhesion to respiratory epithelium , 1993, Microscopy research and technique.