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23 October 2018 Vessel extraction from angiography image using dictionary inpainting
Lizhe Xie, Yining Hu, Yang Xia, Bin Yan, Limin Luo, Lin Wang
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Proceedings Volume 10820, Optics in Health Care and Biomedical Optics VIII; 1082013 (2018) https://doi.org/10.1117/12.2324427
Event: SPIE/COS Photonics Asia, 2018, Beijing, China
Abstract
Due to the complex background and varying scanning conditions, extracting the vessel structure from the rotational angiography (RA) image is challenging. Various methods have been proposed for binary vessel segmentation with no gray level information which is essentially for diagnosis. A new method based on background inpainting and image subtraction is introduced in this paper. Instead of providing binary segmentation result, the proposed method estimates the background caused by surrounding tissues, and the vessel structure with gray level is obtained via image subtraction. The experiments verify that the proposed method works well for clinical sequences with different scanning conditions.
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Lizhe Xie, Yining Hu, Yang Xia, Bin Yan, Limin Luo, and Lin Wang "Vessel extraction from angiography image using dictionary inpainting", Proc. SPIE 10820, Optics in Health Care and Biomedical Optics VIII, 1082013 (23 October 2018); https://doi.org/10.1117/12.2324427
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KEYWORDS
Image segmentation
Associative arrays
Angiography
Image filtering
Feature extraction
Arteries
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