Suppr超能文献

基于区域表面的图像引导神经外科手术配准:扫描模式对配准精度的影响。

Regional-surface-based registration for image-guided neurosurgery: effects of scan modes on registration accuracy.

机构信息

Digital Medical Research Center, School of Basic Medical Sciences, Fudan University, Shanghai, China.

Shanghai Key Laboratory of Medical Imaging Computing and Computer Assisted Intervention, Shanghai, China.

出版信息

Int J Comput Assist Radiol Surg. 2019 Aug;14(8):1303-1315. doi: 10.1007/s11548-019-01990-6. Epub 2019 May 4.

Abstract

PURPOSE

The conventional surface-based method only registers the facial zone with preoperative point cloud, resulting in low accuracy away from the facial area. Acquiring a point cloud of the entire head for registration can improve registration accuracy in all parts of the head. However, it takes a long time to collect a point cloud of the entire head. It may be more practical to selectively scan part of the head to ensure high registration accuracy in the surgical area of interest. In this study, we investigate the effects of different scan regions on registration errors in different target areas when using a surface-based registration method.

METHODS

We first evaluated the correlation between the laser scan resolution and registration accuracy to determine an appropriate scan resolution. Then, with the appropriate resolution, we explored the effects of scan modes on registration error in computer simulation experiments, phantom experiments and two clinical cases. The scan modes were designed based on different combinations of five zones of the head surface, i.e., the sphenoid-frontal zone, parietal zone, left temporal zone, right temporal zone and occipital zone. In the phantom experiment, a handheld scanner was used to acquire a point cloud of the head. A head model containing several tumors was designed, enabling us to calculate the target registration errors deep in the brain to evaluate the effect of regional-surface-based registration.

RESULT

The optimal scan modes for tumors located in the sphenoid-frontal, parietal and temporal areas are mode 4 (i.e., simultaneously scanning the sphenoid-frontal zone and the temporal zone), mode 4 and mode 6 (i.e., simultaneously scanning the sphenoid-frontal zone, the temporal zone and the parietal zone), respectively. For the tumor located in the occipital area, no modes were able to achieve reliable accuracy.

CONCLUSION

The results show that selecting an appropriate scan resolution and scan mode can achieve reliable accuracy for use in sphenoid-frontal, parietal and temporal area surgeries while effectively reducing the operation time.

摘要

目的

传统的基于表面的方法仅将面部区域与术前点云配准,导致远离面部区域的精度较低。获取整个头部的点云进行配准可以提高头部各个部位的配准精度。但是,采集整个头部的点云需要很长时间。选择性地扫描头部的一部分可能更实际,以确保在感兴趣的手术区域具有高的配准精度。在这项研究中,我们研究了在使用基于表面的配准方法时,不同的扫描区域对不同目标区域的配准误差的影响。

方法

我们首先评估了激光扫描分辨率与配准精度之间的相关性,以确定合适的扫描分辨率。然后,在具有适当分辨率的情况下,我们在计算机模拟实验、体模实验和两个临床病例中探索了不同扫描模式对配准误差的影响。扫描模式是基于头部表面的五个区域的不同组合设计的,即蝶额区、顶区、左颞区、右颞区和枕区。在体模实验中,使用手持式扫描仪采集头部点云。设计了一个包含多个肿瘤的头部模型,使我们能够计算大脑深处的目标配准误差,以评估区域表面配准的效果。

结果

对于位于蝶额、顶和颞区的肿瘤,最佳的扫描模式分别为模式 4(同时扫描蝶额区和颞区)、模式 4 和模式 6(同时扫描蝶额区、颞区和顶区)。对于位于枕区的肿瘤,没有任何模式能够达到可靠的精度。

结论

结果表明,选择适当的扫描分辨率和扫描模式可以为蝶额、顶和颞区手术提供可靠的精度,同时有效减少手术时间。

文献AI研究员

20分钟写一篇综述,助力文献阅读效率提升50倍。

立即体验

用中文搜PubMed

大模型驱动的PubMed中文搜索引擎

马上搜索

文档翻译

学术文献翻译模型,支持多种主流文档格式。

立即体验