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相关概念视频

Overview of the Vascular System01:20

Overview of the Vascular System

2.7K
The vascular system comprises an extensive network of arteries, capillaries, and veins. The vascular system can be broadly divided into the blood and lymphatic systems. Typically, blood vessels can be categorized into three histological regions: tunica intima, tunica media, and tunica adventitia. The tunica intima consists of a single layer of endothelial cells attached to the basal lamina. Underlying the basal lamina is a connective tissue layer and an elastic lamina that gives stability and...
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Mechanism of Angiogenesis01:10

Mechanism of Angiogenesis

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Blood vessel formation starts early during embryonic development, around day 7. In the extraembryonic yolk sac, mesodermal precursor cells called hemangioblast proliferate and differentiate into angioblast. Angioblasts express vascular endothelial growth factor receptor 2 or VEGFR2, which binds VEGF-A, a proangiogenic factor, guiding blood vessel formation. VEGF signaling promotes angioblasts to form a blood island in the developing embryo. Angioblasts further differentiate, giving rise to...
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Cross-modality cerebrovascular segmentation based on pseudo-label generation via paired data.

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The comprehensive analysis of thalassemia alleles (CATSA) based on single-molecule real-time technology (SMRT) is a more powerful strategy in the diagnosis of thalassemia caused by rare variants.

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3D Vascular Segmentation Supervised by 2D Annotation of Maximum Intensity Projection.

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ZJUT-EIFD: A Synchronously Collected External and Internal Fingerprint Database.

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Physiology-guided Self-supervised Learning for Simultaneous Dual-Tracer PET Separation.

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Informed-Exploration Reinforcement Learning for Automated Virtual Coronary Intervention Planning.

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4D Reconstruction of Fetal Left Ventricle from Echocardiography via 2.5D Radial Segmentation and Graph-Fourier Reconstruction.

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相关实验视频

Updated: May 13, 2025

Stepwise Cell Seeding on Tessellated Scaffolds to Study Sprouting Blood Vessels
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血管扩散:基于扩散模型的3D血管结构生成.

Zhanqiang Guo, Zimeng Tan, Jianjiang Feng

    IEEE transactions on medical imaging
    |May 9, 2025
    PubMed
    概括
    此摘要是机器生成的。

    使用两级扩散模型,VesselDiffusion生成了详细的3D血管结构. 这种方法提高了医疗应用的准确性和多样性,克服了现有方法的局限性.

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    相关实验视频

    Last Updated: May 13, 2025

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    An In Vitro 3D Model and Computational Pipeline to Quantify the Vasculogenic Potential of iPSC-Derived Endothelial Progenitors
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    科学领域:

    • 生物医学成像技术 生物医学成像技术
    • 计算生物学 计算生物学
    • 医疗器械开发 医疗器械开发

    背景情况:

    • 准确的3D血管模型对于医学诊断,手术规划和教育至关重要.
    • 现有的方法难以应对血管连接的复杂性,通常只能产生局部或单独的血管.
    • 针对特定血管结构的训练数据有限,阻碍了直接3D生成的细节和多样性.

    研究的目的:

    • 介绍VesselDiffusion,这是一个创新的两阶段框架,用于生成详细和多样化的3D血管结构.
    • 通过利用二维血管数据集来应对有限的训练数据的挑战.
    • 提高生成的3D血管网络的准确性和真实性,以进行增强的医学分析.

    主要方法:

    • 一个两阶段的框架,结合了2D血管生成模型和条件扩散模型.
    • 使用广泛的通用2D血管数据集进行2D模型的初始训练.
    • 一个具有双流特征提取 (DSFE) 模块的条件扩散模型,集成视觉变压器和图形卷积网络,从2D输入中推断出3D血管系统.

    主要成果:

    • 血管扩散成功地生成了全面和现实的3D血管网络.
    • DSFE模块有效地捕捉全球连接和本地结构细节,确保真实性和多样性.
    • 相对分析显示,与现有生成方法相比,精度和多样性更高.

    结论:

    • 血管扩散在使用扩散过程生成3D血管结构方面取得了重大进展.
    • 拟议的框架克服了先前方法的局限性,为医疗应用提供了更好的细节和多样性.
    • 这项技术有可能通过更准确的血管建模来增强疾病诊断,手术规划和医学教育.