中文摘要：

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．

英文摘要：

The respiration-induced liver motion and deformation was analyzed, and a rigid motion model was utilized to simplify the liver motion and compensate for it. 3D-3D image rigid registration was applied to obtain the motion parameters of four livers using surface and mutual information as the cost function re- spectively. Then the liver motion patterns were analyzed and the motion was compensated based on these parameters. Afterwards, the registration results and compensation performance, as well as their reliability were compared between manual segmented liver contour group and liver gray scale information group. Fur- thermore, the feasibility of the rigid model＇s further simplification was evaluated. The result shows that the rigid model and the further simplified translation motion model, even the 2D sagittal in-plane transla- tion motion model are feasible. Over 80o/4 of respiratory affection can be avoided using the simplified mo- tion models. The modeling and compensation of liver motion using liver gray scale information is more credible than those using manual segmented liver contour. The above conclusion is valuable for real-timely compensating for respiration-induced liver motion in ultrasound fusion multimodal imaging in engineering.