Model-updated image-guided liver surgery: preliminary results using surface characterization.
Model-updated image-guided liver surgery: preliminary results using surface characterization.
复制标题
DOI：
10.1016/j.pbiomolbio.2010.09.014
复制
发表时间：
2010-12
影响因子：
3.8
通讯作者：
Miga MI
中科院分区：
文献类型：
--
作者：
Dumpuri P;Clements LW;Dawant BM;Miga MI
用于开腹肝脏肿瘤切除手术中的图像引导的当前协议涉及患者的手术室空间与术前诊断图像空间之间的刚性配准。系统性研究表明，在手术过程中，肝脏可能以非刚性方式变形达2 cm，从而影响这些手术导航系统的准确性。使用数学模型补偿术中变形已显示出有希望的结果。在这项工作中，我们跟进的初始刚性配准的计算方法，是面向最大限度地减少未变形的术前表面和刚性注册的手术中表面之间的剩余最近点的距离。我们还使用一个表面拉普拉斯方程的过滤器，产生一个现实的变形场。初步验证所提出的计算框架进行了使用幻影实验和临床试验。该框架提高了刚性配准误差的幻影实验平均43%，74%，分别使用部分和完整的表面数据。就临床数据而言，它将与刚性配准相关的最近点残差平均提高了54%。这些结果非常令人鼓舞，并表明计算模型可用于提高图像引导下开腹肝脏肿瘤切除手术的准确性。
The current protocol for image guidance in open abdominal liver tumor removal surgeries involves a rigid registration between the patient's operating room space and the pre-operative diagnostic image-space. Systematic studies have shown that the liver can deform up to 2 cm during surgeries in a non-rigid fashion thereby compromising the accuracy of these surgical navigation systems. Compensating for intra-operative deformations using mathematical models has shown promising results. In this work, we follow up the initial rigid registration with a computational approach that is geared towards minimizing the residual closest point distances between the un-deformed pre-operative surface and the rigidly registered intra-operative surface. We also use a surface Laplacian equation based filter that generates a realistic deformation field. Preliminary validation of the proposed computational framework was performed using phantom experiments and clinical trials. The proposed framework improved the rigid registration errors for the phantom experiments on average by 43%, and 74% using partial and full surface data, respectively. With respect to clinical data, it improved the closest point residual error associated with rigid registration by 54% on average for the clinical cases. These results are highly encouraging and suggest that computational models can be used to increase the accuracy of image-guided open abdominal liver tumor removal surgeries.
登录
查看更多内容
影响因子：
10.6
作者：
D'Haese, PF;Cetinkaya, E;Dawant, BM
通讯作者：
Dawant, BM
DOI：
10.1109/34.121791
发表时间：
1992-02-01
影响因子：
23.6
作者：
BESL, PJ;MCKAY, ND
通讯作者：
MCKAY, ND
影响因子：
3
作者：
Bathe, Oliver F.;Mahallati, Houman;Sutherland, Garnette
通讯作者：
Sutherland, Garnette
DOI：
10.3109/10929080009148867
发表时间：
2000-01-01
期刊：
Computer aided surgery : official journal of the International Society for Computer Aided Surgery
影响因子：
--
作者：
Herline, A J;Herring, J L;Dawant, B M
通讯作者：
Dawant, B M
影响因子：
3.5
作者：
Ou, J. J.;Ong, R. E.;Miga, M. I.
通讯作者：
Miga, M. I.