Anatomical structure-constrained thrombus region segmentation and measurement using confocal laser scanning microscopic images

Cheng Wang; Yuichiro Hayashi; Masahiro Oda; Yunheng Wu; Shuntaro Kawamura; Takanori Takebe; Kensaku Mori

doi:10.1117/12.3006862

2 April 2024 Anatomical structure-constrained thrombus region segmentation and measurement using confocal laser scanning microscopic images

Cheng Wang, Yuichiro Hayashi, Masahiro Oda, Yunheng Wu, Shuntaro Kawamura, Takanori Takebe, Kensaku Mori

Author Affiliations +

Proceedings Volume 12930, Medical Imaging 2024: Clinical and Biomedical Imaging; 129300H (2024) https://doi.org/10.1117/12.3006862
Event: SPIE Medical Imaging, 2024, San Diego, California, United States

Abstract

This manuscript describes an image-based scheme for automatic segmentation and measurement of thrombosis. Biologists inject drugs that can cause thrombosis in mice and use a Confocal Laser Scanning Microscope (CLSM) to observe changes in blood vessels to understand the mechanism of thrombosis. However, it is difficult to segment the thrombus region in CLSM images because the thrombus region is very similar to the background. Therefore, computer vision-based methods are used to analyze thrombosis and assist biologists. A previous method used the difference between a preset reference frame (fixed frame) and a frame (current frame) to locate the thrombus region. However, this method did not take into account that the thrombus always grows inside the blood vessels, resulting in mis-segmented thrombus regions. Therefore, we use the anatomical structure relationship of the mouse to increase the accuracy of thrombus segmentation. We use the difference between the current frame and a reference frame to segment the thrombus region. The blood vessel, which is a representative anatomical structure in the CLSM image, is found using Otsu-based thresholding and is used to remove the false positive thrombus regions. The remaining thrombus region is used to calculate the size, the centroid coordinate of the thrombus, and the growth rate of the thrombus region. We created the ground truth of the thrombus regions to validate the proposed method. Experimental results showed that the DICE value of the proposed method was 0.76 ± 0.13.

Conference Presentation

(2024) Published by SPIE. Downloading of the abstract is permitted for personal use only.

Citation Download Citation

Cheng Wang, Yuichiro Hayashi, Masahiro Oda, Yunheng Wu, Shuntaro Kawamura, Takanori Takebe, and Kensaku Mori "Anatomical structure-constrained thrombus region segmentation and measurement using confocal laser scanning microscopic images", Proc. SPIE 12930, Medical Imaging 2024: Clinical and Biomedical Imaging, 129300H (2 April 2024); https://doi.org/10.1117/12.3006862

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