Multi‐scale dual attention embedded U‐shaped network for accurate segmentation of coronary vessels in digital subtraction angiography

Medical Physics, Journal Year: 2025, Volume and Issue: 52(5), P. 3135 - 3150

Published: Feb. 3, 2025

Abstract Background Most attention‐based networks fall short in effectively integrating spatial and channel‐wise information across different scales, which results suboptimal performance for segmenting coronary vessels x‐ray digital subtraction angiography (DSA) images. This limitation becomes particularly evident when attempting to identify tiny sub‐branches. Purpose To address this limitation, a multi‐scale dual attention embedded network (named MDA‐Net) is proposed consolidate contextual channel contiguous levels scales. Methods MDA‐Net employs five cascaded double‐convolution blocks within its encoder adeptly extract features. It incorporates skip connections that facilitate the retention of low‐level feature details throughout decoding phase, thereby enhancing reconstruction detailed image information. Furthermore, MDA modules, take features from neighboring scales hierarchical levels, are tasked with discerning subtle distinctions between foreground elements, such as diverse morphologies dimensions, complex background, includes structures like catheters or other tissues analogous intensities. sharpen segmentation accuracy, utilizes composite loss function integrates intersection over union (IoU) binary cross‐entropy loss, ensuring precision outcomes maintaining an equilibrium positive negative classifications. Results Experimental demonstrate not only performs more robustly on DSA images under various conditions, but also achieves significant advantages state‐of‐the‐art methods, achieving optimal scores terms IoU, Dice, Hausdorff distance 95%. Conclusions has high robustness segmentation, providing active strategy early diagnosis cardiovascular diseases. The code publicly available at https://github.com/30410B/MDA‐Net.git .

Language: Английский

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TSNet: Vessel segmentation with sequential frame temporal information in coronary angiography

Computerized Medical Imaging and Graphics, Journal Year: 2025, Volume and Issue: unknown, P. 102540 - 102540

Published: March 1, 2025

Language: Английский

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Transformers and their application to medical image processing: A review

Journal of Radiation Research and Applied Sciences, Journal Year: 2023, Volume and Issue: 16(4), P. 100680 - 100680

Published: Oct. 3, 2023

Transformers perform well in natural language processing tasks and have made many breakthroughs computer vision. In medical image processing, transformers are successfully used segmentation, classification, reconstruction, diagnosis. this paper, we mainly expound on the transformer principle its application imaging. Specifically, first introduce basic principles model structure of transformers. Then, summarize improvement mechanism transformer's network including combining with Unet network, creating a lightweight variant strengthening cross-fast link mechanism, building large as skeleton. Second, extensive discussion is given to other applications. Finally, main challenges face field future development prospects. Furthermore, systematically latest research progress their which has significant reference value for field.

Language: Английский

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A lung biopsy path planning algorithm based on the double spherical constraint Pareto and indicators’ importance-correlation degree

Computerized Medical Imaging and Graphics, Journal Year: 2024, Volume and Issue: 117, P. 102426 - 102426

Published: Aug. 31, 2024

Language: Английский

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Online Tree-Structure-Constrained RPCA for Background Subtraction of X-ray Coronary Angiography Images

Computer Methods and Programs in Biomedicine, Journal Year: 2024, Volume and Issue: 258, P. 108463 - 108463

Published: Oct. 22, 2024

Language: Английский

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Detection of Pediatric Pneumonia Based on Chest X-Ray Image Using Extraction Method

Published: Aug. 7, 2024

Language: Английский

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An Integrated Global and Local Thresholding Method for Segmenting Blood Vessels in Angiography

Heliyon, Journal Year: 2024, Volume and Issue: 10(22), P. e38579 - e38579

Published: Sept. 27, 2024

Language: Английский

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