Fast-MICP for frameless image-guided surgery.
Fast-MICP for frameless image-guided surgery.
复制标题
用于无框图像引导手术的 Fast-MICP。
DOI：
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发表时间：
2010
期刊：
影响因子：
--
通讯作者：
Shin
中科院分区：
文献类型：
--
作者：
Jiann;Chung;Sheng;Chung;Shin
目的
在图像引导手术（IGS）系统中，图像到物理配准对于可靠的解剖信息映射和空间引导至关重要。传统的基于立体定向框架或基于基准的方法提供准确的配准，但对患者不友好。本研究提出了一种无框架的颅骨IGS系统，该系统使用计算机视觉技术来替换具有患者自然特征的框架或基准点。
方法
为了使用所提出的系统进行颅骨手术，首先通过立体视觉重建患者的面部表面。通过捕获从校准的LCD投影仪投射的平行线图案来确保精度。同时，从患者的术前计算机断层摄影（CT）图像重建另一面部表面。然后使用所提出的基于迭代最近点（ICP）的算法[快速标记添加ICP（Fast-MICP）]来配准两个面部数据集，该算法将解剖信息从CT图像转移到物理空间。
结果
实验结果表明，Fast-MICP算法降低了标记添加ICP的计算成本（J.- D. Lee等人，“A coarse-to-fine surface registration algorithm for frameless brain surgery，”in Proceedings of International Conference of the IEEE Engineering in Medicine and Biology Society，2007，pp. 836-839）的配准精度降低到10%，并且实现了相当的配准精度，其低于3 mm的目标配准误差（TRE）。此外，两种类型的基于光学的空间数字化设备可以集成用于进一步的手术导航。可以将解剖信息或图像引导的手术标志投影到患者身上，以获得沉浸式增强现实环境。
结论
所提出的无框架IGS系统与立体视觉获得TRE小于3毫米。所提出的快速MICP注册算法减少了90%的注册时间，而不影响精度。
PURPOSE
In image-guided surgery (IGS) systems, image-to-physical registration is critical for reliable anatomical information mapping and spatial guidance. Conventional stereotactic frame-based or fiducial-based approaches provide accurate registration but are not patient-friendly. This study proposes a frameless cranial IGS system that uses computer vision techniques to replace the frame or fiducials with the natural features of the patient.
METHODS
To perform a cranial surgery with the proposed system, the facial surface of the patient is first reconstructed by stereo vision. Accuracy is ensured by capturing parallel-line patterns projected from a calibrated LCD projector. Meanwhile, another facial surface is reconstructed from preoperative computed tomography (CT) images of the patient. The proposed iterative closest point (ICP)-based algorithm [fast marker-added ICP (Fast-MICP)] is then used to register the two facial data sets, which transfers the anatomical information from the CT images to the physical space.
RESULTS
Experimental results reveal that the Fast-MICP algorithm reduces the computational cost of marker-added ICP (J.-D. Lee et al., "A coarse-to-fine surface registration algorithm for frameless brain surgery," in Proceedings of International Conference of the IEEE Engineering in Medicine and Biology Society, 2007, pp. 836-839) to 10% and achieves comparable registration accuracy, which is under 3 mm target registration error (TRE). Moreover, two types of optical-based spatial digitizing devices can be integrated for further surgical navigation. Anatomical information or image-guided surgical landmarks can be projected onto the patient to obtain an immersive augmented reality environment.
CONCLUSION
The proposed frameless IGS system with stereo vision obtains TRE of less than 3 mm. The proposed Fast-MICP registration algorithm reduces registration time by 90% without compromising accuracy.
影响因子：
3.8
作者：
Benincasa, Anne B.;Clements, Logan W.;Galloway, Robert L.
通讯作者：
Galloway, Robert L.