Evaluation of model-based deformation correction in image-guided liver surgery via tracked intraoperative ultrasound.
Evaluation of model-based deformation correction in image-guided liver surgery via tracked intraoperative ultrasound.
复制标题
通过术中跟踪超声评估图像引导肝脏手术中基于模型的变形校正。
DOI：
10.1117/1.jmi.3.1.015003
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发表时间：
2016
期刊：
影响因子：
--
通讯作者：
Miga,MichaelI
中科院分区：
文献类型：
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作者：
Clements,LoganW;Collins,JarrodA;Weis,JaredA;Simpson,AmberL;Adams,LaurynB;Jarnagin,WilliamR;Miga,MichaelI
软组织变形是目前用于肝切开手术的外科导航系统中一个重要的误差来源。虽然已经提出了许多算法来纠正开放肝脏手术中遇到的组织变形，但所提出方法的临床验证仅限于基于表面的指标，并且主要通过模拟实验进行地下验证。所提出的方法包括分析两种变形校正算法，用于通过术中超声（iUS）跟踪数字化的地下目标的开放肝脏图像引导手术系统。术中表面数字化是通过激光测距扫描仪和光学跟踪笔获得的，目的是计算物理到图像空间的配准，并用于回顾性变形校正算法。在完成表面数字化后，用跟踪iUS换能器对器官进行询问，其中记录了iUS图像和相应的跟踪位置。计算iUS图像中描绘的特征轮廓与术前断层扫描生成的相应三维解剖模型之间的平均最近点距离，以量化变形校正算法提高配准精度的程度。6例患者包括8个解剖靶的结果表明，变形矫正有助于降低靶误差。
Soft-tissue deformation represents a significant error source in current surgical navigation systems used for open hepatic procedures. While numerous algorithms have been proposed to rectify the tissue deformation that is encountered during open liver surgery, clinical validation of the proposed methods has been limited to surface-based metrics, and subsurface validation has largely been performed via phantom experiments. The proposed method involves the analysis of two deformation-correction algorithms for open hepatic image-guided surgery systems via subsurface targets digitized with tracked intraoperative ultrasound (iUS). Intraoperative surface digitizations were acquired via a laser range scanner and an optically tracked stylus for the purposes of computing the physical-to-image space registration and for use in retrospective deformation-correction algorithms. Upon completion of surface digitization, the organ was interrogated with a tracked iUS transducer where the iUS images and corresponding tracked locations were recorded. Mean closest-point distances between the feature contours delineated in the iUS images and corresponding three-dimensional anatomical model generated from preoperative tomograms were computed to quantify the extent to which the deformation-correction algorithms improved registration accuracy. The results for six patients, including eight anatomical targets, indicate that deformation correction can facilitate reduction in target error of.