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A spatial registration method based on 2D-3D registration for an augmented reality spinal surgery navigation system.
Zhang, Jingqi; Yang, Zhiyong; Jiang, Shan; Zhou, Zeyang.
Afiliação
  • Zhang J; School of Mechanical Engineering, Tianjin University, Tianjin, China.
  • Yang Z; School of Mechanical Engineering, Tianjin University, Tianjin, China.
  • Jiang S; School of Mechanical Engineering, Tianjin University, Tianjin, China.
  • Zhou Z; School of Mechanical Engineering, Tianjin University, Tianjin, China.
Int J Med Robot ; : e2612, 2023 Dec 19.
Article em En | MEDLINE | ID: mdl-38113328
ABSTRACT

BACKGROUND:

In order to provide accurate and reliable image guidance for augmented reality (AR) spinal surgery navigation, a spatial registration method has been proposed.

METHODS:

In the AR spinal surgery navigation system, grayscale-based 2D/3D registration technology has been used to register preoperative computed tomography images with intraoperative X-ray images to complete the spatial registration, and then the fusion of virtual image and real spine has been realised.

RESULTS:

In the image registration experiment, the success rate of spine model registration was 90%. In the spinal model verification experiment, the surface registration error of the spinal model ranged from 0.361 to 0.612 mm, and the total average surface registration error was 0.501 mm.

CONCLUSION:

The spatial registration method based on 2D/3D registration technology can be used in AR spinal surgery navigation systems and is highly accurate and minimally invasive.
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Texto completo: 1 Coleções: 01-internacional Base de dados: MEDLINE Idioma: En Revista: Int J Med Robot Ano de publicação: 2023 Tipo de documento: Article

Texto completo: 1 Coleções: 01-internacional Base de dados: MEDLINE Idioma: En Revista: Int J Med Robot Ano de publicação: 2023 Tipo de documento: Article