当前位置: X-MOL 学术Comput. Assist. Surg. › 论文详情
Our official English website, www.x-mol.net, welcomes your feedback! (Note: you will need to create a separate account there.)
Three-dimensional reconstruction of extremity tumor regions by CT and MRI image data fusion for subject-specific preoperative assessment and planning.
Computer Assisted Surgery ( IF 1.5 ) Pub Date : 2011-08-03 , DOI: 10.3109/10929088.2011.602721
Yuefu Dong 1 , Yinghai Dong , Guanghong Hu , Qingrong Xu
Affiliation  

This study was conducted to demonstrate the feasibility of three-dimensional (3D) reconstruction of extremity tumor regions for patient-specific preoperative assessment and planning by using CT and MRI image data fusion. The CT and MRI image data of five patients with solid tumors were fused to construct 3D models of the respective tumor regions. The reconstruction time and image fusion accuracy were measured, and the tumor features and spatial relationships were analyzed to enable subject-specific preoperative assessment and planning as guidance for tumor resection. The 3D models of the tumor regions, including skin, fat, bones, tumor, muscles, internal organs, nerves and vessels, were created with a mean reconstruction time of 103 minutes and fusion accuracy of 2.02 mm. The 3D reconstruction clearly delineated the tumor features, and provided a vivid view of spatial relationships within the tumor region. Based on this intuitional information, the subject-specific preoperative assessment and planning were easily accomplished, and all tumor resections were performed as planned preoperatively. Three-dimensional reconstruction using CT/MRI image fusion is feasible for accurate reproduction of the complex anatomy of the tumor region with high efficiency, and can help surgeons improve the preoperative assessment and planning for effective removal of tumors.

中文翻译:

通过CT和MRI图像数据融合对肢体肿瘤区域进行三维重建,以进行特定受试者的术前评估和计划。

进行这项研究是为了证明通过使用CT和MRI图像数据融合技术对患者的术前评估和计划进行三维(3D)重建肢体肿瘤区域的可行性。融合5例实体瘤患者的CT和MRI图像数据,以构建各个肿瘤区域的3D模型。测量了重建时间和图像融合的准确性,并分析了肿瘤的特征和空间关系,以使特定患者的术前评估和计划成为肿瘤切除的指导。创建了包括皮肤,脂肪,骨骼,肿瘤,肌肉,内部器官,神经和血管在内的肿瘤区域的3D模型,平均重建时间为103分钟,融合精度为2.02 mm。3D重建清楚地描绘出了肿瘤特征,并提供了肿瘤区域内空间关系的生动视图。根据这些直觉信息,可以轻松完成特定对象的术前评估和计划,并且所有肿瘤切除均按照术前计划进行。使用CT / MRI图像融合进行三维重建对于高效准确地复制肿瘤区域的复杂解剖结构是可行的,并且可以帮助外科医生改善术前评估和规划以有效切除肿瘤。
更新日期:2019-11-01
down
wechat
bug