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

机译:动脉内治疗期间通过3D超声可视化肝动脉

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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:肝癌是全世界癌症相关死亡率的第二大最常见原因。预后较差,总死亡率为95%。此外,由于发现时晚期或基础肝功能差,大多数肝肿瘤无法切除。通过动脉内途径进行的肿瘤栓塞术是晚期肝细胞癌病例的当前护理标准。这些疗法依赖于这样的事实,即原发性肝肿瘤的血液供应主要是动脉。肝动脉血流速度的反馈对于确保针对目标肿块的最大治疗效果至关重要。基于这些速度,调节动脉内注射速率以将化疗药物最佳输注到肿瘤组织中。尽管多普勒超声是一种有据可查的评估血流的技术,但是超声对血管解剖结构进行3D可视化仍然具有挑战性。在本文中,我们介绍了一种图像引导管道,该管道可在肝脏的3D超声图像内定位肝动脉分支。首先要对诊断性血管造影(MRA)进行处理,以自动分割肝动脉。然后使用3D超声将非刚性配准方法应用于MRA体积的门静脉期,以使多普勒图像中的肝动脉的3D网格可视化。为了评估所提出的工作流程的性能,我们提出了来自猪模型和患者图像的初步结果。

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