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一种提高手术导航中目标配准精度的混合方法。

A hybrid method to improve target registration accuracy in surgical navigation.

作者信息

Jeon Sangseo, Park Jaeyeong, Chien Jongho, Hong Jaesung

机构信息

a 1 Department of Robotics Engineering, Daegu Gyeongbuk Institute of Science and Technology , Daegu, Republic of Korea.

b 2 Medical Device and Robot Institute of Park, Kyungpook National University , Daegu, Republic of Korea.

出版信息

Minim Invasive Ther Allied Technol. 2015;24(6):356-63. doi: 10.3109/13645706.2015.1020555. Epub 2015 Mar 11.

Abstract

BACKGROUND

The accuracy of surgical navigation depends greatly on that of registration between the patient and the medical image. Point-based registration has been the most common and reliable method, which typically uses skin markers. Unfortunately, high registration accuracy around the markers is not sustained at targets deeply seated within the body. To address such increase in target registration error (TRE), we proposed a hybrid point-based registration method that incorporates anatomical landmarks near the target.

MATERIAL AND METHODS

Ultrasound calibration is performed with an optical tracker for coordinate frame conversion of image coordinates into the real world. With the calibrated ultrasound probe, we could non-invasively obtain landmark positions near the target, being used together with skin markers for registration.

RESULTS

In the experiment, we examined registration accuracies achieved with and without use of an anatomical landmark. We confirmed that using an additional anatomical landmark in registration resulted in an increase in fiducial regsitration error (FRE), but a significant decrease in TRE (p < 0.001).

CONCLUSION

We proposed and demonstrated the effectiveness of a hybrid method that uses both artificial and anatomical landmarks for patient-to-image registration. The experimental results confirmed that an improvement in TRE was evident by the proposed method, suggesting its feasibility in various spinal surgeries.

摘要

背景

手术导航的准确性在很大程度上取决于患者与医学图像之间配准的准确性。基于点的配准一直是最常见且可靠的方法,通常使用皮肤标记物。不幸的是,在身体深部的目标部位,标记物周围的高配准精度无法持续保持。为了解决目标配准误差(TRE)的这种增加,我们提出了一种基于点的混合配准方法,该方法纳入了目标附近的解剖标志点。

材料与方法

使用光学跟踪器进行超声校准,以将图像坐标转换为现实世界的坐标框架。使用校准后的超声探头,我们可以非侵入性地获取目标附近的标志点位置,并将其与皮肤标记物一起用于配准。

结果

在实验中,我们检查了使用和不使用解剖标志点时的配准精度。我们证实,在配准中使用额外的解剖标志点会导致基准配准误差(FRE)增加,但TRE显著降低(p < 0.001)。

结论

我们提出并证明了一种使用人工和解剖标志点进行患者与图像配准的混合方法的有效性。实验结果证实,所提出的方法在TRE方面有明显改善,表明其在各种脊柱手术中的可行性。

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