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

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International Journal of Computer Assisted Radiology and Surgery Aims and scope Submit manuscript

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.

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Funding

This study was funded by the Shanghai Natural Science Foundation (Grant No. 17ZR1401500), and by the National Natural Science Foundation of China (Grant No. 81471758).

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Authors and Affiliations

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

    Yuan Dong, Chenxi Zhang, Dafeng Ji, Manning Wang & Zhijian Song

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

    Yuan Dong, Chenxi Zhang, Dafeng Ji, Manning Wang & Zhijian Song

  3. Anatomy Department of Medical School, Nantong University, Nantong, China

    Dafeng Ji

Authors
  1. Yuan Dong
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  2. Chenxi Zhang
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  3. Dafeng Ji
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  4. Manning Wang
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  5. Zhijian Song
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Corresponding authors

Correspondence to Chenxi Zhang or Zhijian Song.

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The authors declare that they have no conflict of interest.

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All procedures performed in studies involving human participants were in accordance with the ethical standards of the institutional and/or national research committee and with the 1964 Helsinki Declaration and its later amendments or comparable ethical standards.

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Appendix: The error distribution of different modes in three orthogonal planes

Appendix: The error distribution of different modes in three orthogonal planes

To intuitively visualize the intracranial error distribution by using different modes, we calculated the intracranial errors (Eq. 1) in three orthogonal planes in the simulation experiments. Fifty experiments were repeated for each mode, and the average error of each point was recorded. Figure 11 shows the error distribution of different modes in three orthogonal planes. We used a heat map to represent the magnitude of the error of each point, and the darker the color is, the larger the error is. Due to the large difference in error distribution of the different modes, different modes used different scales to show the distribution of error well.

See Fig. 11.

Fig. 11
figure 11

Spatial error distribution of different modes. The first column shows different mode labels. The second, third and fourth columns correspond to the sagittal, coronal and axial planes, respectively. The last column illustrates the scale of each mode

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Dong, Y., Zhang, C., Ji, D. et al. Regional-surface-based registration for image-guided neurosurgery: effects of scan modes on registration accuracy. Int J CARS 14, 1303–1315 (2019). https://doi.org/10.1007/s11548-019-01990-6

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  • DOI: https://doi.org/10.1007/s11548-019-01990-6

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