呼吸引起的肝脏运动模式分析

发布时间：2018-06-10 05:55

本文选题：呼吸 + 肝脏运动　；参考：《浙江大学学报(工学版)》2014年09期

【摘要】：为补偿肝脏运动,分析呼吸引起的肝脏空间运动和形变,并尝试将其简化为刚性运动模型进行补偿.利用基于表面和基于互信息的3D-3D图像刚性配准方法分析4例肝脏空间运动的规律并进行补偿,比较使用手工分割肝脏轮廓和肝脏灰度信息进行配准的结果及其补偿效果,评估2种思路的可靠性,并进一步评价刚体运动模型简化的可行性.结果表明:刚性运动模型、简化的平移运动模型和矢状面2D运动模型在实际应用中具有可行性,此3种模型都可以补偿80%以上的呼吸影响;使用肝脏灰度信息比手工分割轮廓建模和补偿的结果更可靠.上述结论对在超声融合多模成像中快速建模和实时补偿呼吸对肝脏运动的影响有一定的参考价值.
[Abstract]:In order to compensate for liver motion, the spatial movement and deformation of the liver caused by respiration were analyzed and simplified as rigid motion model. The method of 3D-3D image rigid registration based on surface and mutual information was used to analyze the law of liver spatial motion in 4 cases and to compensate for it. The results and the compensation effect of using manual segmentation of liver contour and liver gray level information were compared. The reliability of the two ideas is evaluated and the feasibility of simplification of rigid body motion model is further evaluated. The results show that the rigid motion model, the simplified translational motion model and the sagittal 2D motion model are feasible in practical application, and the three models can compensate more than 80% of the respiratory effects. Using liver gray level information is more reliable than manual segmentation contour modeling and compensation. These conclusions have some reference value for fast modeling and real time compensation of respiration on liver motion in multimode ultrasound fusion imaging.
【作者单位】：清华大学生物医学工程学系;北京大学肿瘤医院;北京市肿瘤防治研究所介入科恶性肿瘤发病机制及转化研究教育部重点实验室;
【基金】：国家自然科学基金资助项目(81271671,81271735)
【分类号】：R318

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