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1.
J Biophotonics ; 15(11): e202200155, 2022 11.
Article in English | MEDLINE | ID: mdl-36328058

ABSTRACT

In optical coherence tomography angiography (OCTA), each blood vessel has a tail artifact. These tails of superficial vessels will shadow underlying the deep vascular images and make it difficult to reconstruct the three-dimensional (3D) image of the vessels. As 3D structure can provide much more information than two-dimensional (2D) images, it is important to develop a method to remove the artifacts. In this letter, we introduce an image processing technique based on common parts extraction to remove the artifacts. With the help of subtraction operation and erode operation, our method can reconstruct the 3D image of vascular network by extracting the common parts of adjacent B-Scan OCTA images. Vessels of palm are used as samples to experimentally demonstrate our technique. In the 3D image, we can see the interesting phenomenon that the ends of the blood vessels which close to the surface of the skin point toward the surface.


Subject(s)
Artifacts , Tomography, Optical Coherence , Tomography, Optical Coherence/methods , Angiography , Image Processing, Computer-Assisted/methods , Imaging, Three-Dimensional
2.
Appl Opt ; 60(4): 809-814, 2021 Feb 01.
Article in English | MEDLINE | ID: mdl-33690387

ABSTRACT

Ghost imaging (GI) can reconstruct the image of an object when the light traveling from the object to the detector is scattered or distorted. It is usually used in complicated environments, where the environmental light may heavily impact measurement. However, the traditional GI algorithm will be seriously affected if the environmental light changes during the measurement. In this paper, we analyze the frequency of environmental light and the light source, and introduce a digital filtering method that can improve the image quality of the traditional GI algorithm. Compared to the traditional GI algorithm, the digital filtering method can obtain an image even if the environmental light changes seriously.

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