Dynamic and still microcirculatory image analysis for quantitative microcirculation research

Xiaoyou Ying; Rui-juan Xiu

doi:10.1117/12.174419

1 May 1994 Dynamic and still microcirculatory image analysis for quantitative microcirculation research

Xiaoyou Ying, Rui-juan Xiu

Proceedings Volume 2168, Medical Imaging 1994: Physiology and Function from Multidimensional Images; (1994) https://doi.org/10.1117/12.174419
Event: Medical Imaging 1994, 1994, Newport Beach, CA, United States

Abstract

Based on analyses of various types of digital microcirculatory image (DMCI), we summed up the image features of DMCI, the digitizing demands for digital microcirculatory imaging, and the basic characteristics of the DMCI processing. A dynamic and still imaging separation processing (DSISP) mode was designed for developing a DMCI workstation and the DMCI processing. Original images in this study were clinical microcirculatory images from human finger nail-bed and conjunctiva microvasculature, and intravital microvascular network images from animal tissue or organs. A series of dynamic and still microcirculatory image analysis functions were developed in this study. The experimental results indicate most of the established analog video image analysis methods for microcirculatory measurement could be realized in a more flexible way based on the DMCI. More information can be rapidly extracted from the quality improved DMCI by employing intelligence digital image analysis methods. The DSISP mode is very suitable for building a DMCI workstation.

Citation Download Citation

Xiaoyou Ying and Rui-juan Xiu "Dynamic and still microcirculatory image analysis for quantitative microcirculation research", Proc. SPIE 2168, Medical Imaging 1994: Physiology and Function from Multidimensional Images, (1 May 1994); https://doi.org/10.1117/12.174419

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