Vessel wall volume (VWV) and localized vessel-wall-plus-plaque thickness (VWT) measured from three-dimensional (3D) ultrasound (US) carotid images are sensitive to anti-atherosclerotic effects of medical/dietary treatments. VWV and VWT measurements require the lumen-intima (LIB) and media-adventitia boundaries (MAB) at the common and internal carotid arteries (CCA and ICA). However, most existing segmentation techniques were capable of segmenting the CCA only. An approach capable of segmenting the MAB and LIB from the CCA and ICA was required to accelerate VWV and VWT quantification.

中文翻译：

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基于自适应三重损失的 3D 超声图像分割颈总动脉和颈内动脉

从三维 (3D) 超声 (US) 颈动脉图像测量的血管壁体积 (VWV) 和局部血管壁加斑块厚度 (VWT) 对医疗/饮食治疗的抗动脉粥样硬化作用敏感。VWV 和 VWT 测量需要在颈总动脉和颈内动脉（CCA 和 ICA）的管腔-内膜 (LIB) 和中膜-外膜边界 (MAB)。然而，大多数现有的分割技术只能分割 CCA。需要一种能够从 CCA 和 ICA 中分割 MAB 和 LIB 的方法来加速 VWV 和 VWT 量化。