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Visualization of hepatic arteries with 3D ultrasound during intra-arterial therapies

机译:在动脉内疗法期间用3D超声检查肝动脉的可视化

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Liver cancer represents the second most common cause of cancer-related mortality worldwide. The prognosis is poor with an overall mortality of 95%. Moreover, most hepatic tumors are unresectable due to their advanced stage at discovery or poor underlying liver function. Tumor embolization by intra-arterial approaches is the current standard of care for advanced cases of hepatocellular carcinoma. These therapies rely on the fact that the blood supply of primary hepatic tumors is predominantly arterial. Feedback on blood flow velocities in the hepatic arteries is crucial to ensure maximal treatment efficacy on the targeted masses. Based on these velocities, the intra-arterial injection rate is modulated for optima] infusion of the chemotherapeutic drugs into the tumorous tissue. While Doppler ultrasound is a well-documented technique for the assessment of blood flow, 3D visualization of vascular anatomy with ultrasound remains challenging. In this paper we present an image-guidance pipeline that enables the localization of the hepatic arterial branches within a 3D ultrasound image of the liver. A diagnostic Magnetic resonance angiography (MRA) is first processed to automatically segment the hepatic arteries. A non-rigid registration method is then applied on the portal phase of the MRA volume with a 3D ultrasound to enable the visualization of the 3D mesh of the hepatic arteries in the Doppler images. To evaluate the performance of the proposed workflow, we present initial results from porcine models and patient images.
机译:肝癌代表全球癌症相关死亡率的第二个最常见的原因。预后差,总死亡率为95%。此外,由于其在发现或贫困性肝功能下的晚期阶段,大多数肝脏肿瘤都是不可切解的。动脉内方法的肿瘤栓塞是目前肝细胞癌晚期病例的护理标准。这些疗法依赖于原发性肝脏肿瘤的血液供应主要是动脉。对肝动脉血流速度的反馈至关重要,以确保对目标群众的最大处理效果是至关重要的。基于这些速度,动脉内注射率被调节以获得化学治疗药物进入肿瘤组织的液体。虽然多普勒超声是一种记录良好的血液流量的技术,血管解剖学的3D可视化仍然具有挑战性。在本文中,我们提出了一种图像引导管线,其能够在肝脏的3D超声图像中定位肝动脉分支。首先将诊断磁共振血管造影(MRA)加工以自动分段肝动脉。然后将非刚性登记方法应用于MRA体积的门阶段,具有3D超声波,以使得能够在多普勒图像中的肝动脉的3D网的可视化。为了评估所提出的工作流程的性能,我们提出了猪模型和患者图像的初始结果。

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