Liu Chuang, Zhang Yunhai, Huang Wei, Tang Yuguo. Correction of reflectance confocal microscopy for skin imaging distortion due to scan[J]. Infrared and Laser Engineering, 2018, 47(10): 1041003-1041003(6). doi: 10.3788/IRLA201847.1041003
Citation:
|
Liu Chuang, Zhang Yunhai, Huang Wei, Tang Yuguo. Correction of reflectance confocal microscopy for skin imaging distortion due to scan[J]. Infrared and Laser Engineering, 2018, 47(10): 1041003-1041003(6). doi: 10.3788/IRLA201847.1041003
|
Correction of reflectance confocal microscopy for skin imaging distortion due to scan
- 1.
Jiangsu Key Laboratory of Medical Optics,Suzhou Institute of Biomedical Engineering and Technology,Chinese Academy of Sciences,Suzhou 215163,China;
- 2.
University of Chinese Academy of Sciences,Beijing 100049,China
- Received Date: 2018-05-05
- Rev Recd Date:
2018-06-03
- Publish Date:
2018-10-25
-
Abstract
Reflectance Confocal Microscopy for skin (RCM) is an important skin imaging diagnostic tool, which uses resonant galvanometer that will result in nonlinear distortion at image. In order to correct the distortion, a method of anti-sine signal oversampling based pixel using isochronous sampling system to correct the distorted RCM image caused by resonant galvanometer was presented. The results of experiments on the rectangular grating with a pitch of 20 m indicate that, the standard deviation of the grating spacing is 7.78 m. The distortion rate of image before being corrected is 38.9%. The standard deviation of the image corrected by the anti-sine signal over-sampling based pixel method is 0.85 m, so the distortion rate is reduced to 4.2%. According to the results of a resolution plate and the actual human skin imaging, the distortion correction method proposed in this paper can correct the image distortion caused by resonant galvanometer and meet the human skin real-time non-invasive imaging diagnostic requirements.
-
References
[1]
|
Rajadhyaksha Milind, Marghoob Ashfaq, Rossi Anthony. Reflectance confocal microscopy of skin in vivo:from bench to bedside[J]. Lasers in Surgery and Medicine, 2017, 49(1):7-19. |
[2]
|
Argenziano G, Soyer H P. Dermoscopy of pigmented skin lesions-a valuable tool for early diagnosis of melanoma[J]. Lancet Oncol, 2001, 2(7):443-449. |
[3]
|
Koehler M, Konig K, Elsner P, et al. In vivo assessment of human skin aging by multiphoton laser scanning tomography[J]. Optic Letters, 2006, 31(19):2879-2881. |
[4]
|
Gambichler T, Moussa G, Sand M, et al. Applications of optical coherence tomography in dermatology[J]. J Dermatological Science, 2005, 40(2):85-94. |
[5]
|
Rajadhyaksha M, Grossman M, Esterowitz D, et al. In vivo confocal scanning laser microscopy of human skin Ⅱ:advances in instrumentation and comparison with histology[J]. J Invest Dermatol, 1999, 113(3):293-303. |
[6]
|
Leybaert L, De Meyer, Mabilde C, et al. A simple and practical method to acquire geometrically correct images with resonant scanning-based line scanning in a custom-built video-rate laser scanning microscope[J]. Journal of Microscopy-Oxford, 2005, 219:133-140. |
[7]
|
Zhang Yunhai, Yang Haomin, Kong Chenghui. Spectral imaging system on laser scanning confocal microscopy[J]. Optics and Precision Engineering, 2014, 22(6):1446-1453. (in Chinese) |
[8]
|
Xiong Daxi, Liu Yun, Liang Yong, et al. Correction of distortion in microscopic imaging with resonant scanning[J]. Optics and Precision Engineering, 2015, 23(10):2971-2979. (in Chinese) |
[9]
|
Liu Huaxu. Atlas of Reflectance Confocal Microscopy for Skin Diseases[M]. Beijing:People's Medical Publishing House, 2013. (in Chinese) |
-
-
Proportional views
-