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A Surface-Based Spatial Registration Method Based on Sense Three-Dimensional Scanner.

Yifeng Fan¹, Xiufang Xu, Manning Wang

¹*Department of Medical Imaging, HangZhou Medical College, Hangzhou †Digital Medical Research Center, School of Basic Medical Sciences, Fudan University, Shanghai, China..

The Journal of Craniofacial Surgery

|December 13, 2016

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A low-cost Sense 3D scanner is feasible for surface-based registration in image-guided neurosurgery. This cost-effective scanner can replace existing systems, offering accurate patient-to-image registration for improved surgical navigation.

Area of Science:

Neurosurgery
Medical Imaging
3D Scanning Technology

Background:

Image-guided surgery relies on accurate patient-to-image registration.
Current registration systems often involve expensive and complex equipment.
There is a need for cost-effective and accessible registration solutions.

Purpose of the Study:

To evaluate the feasibility of using a low-cost, hand-held Sense 3D scanner for surface-based registration in image-guided neurosurgery.
To assess the accuracy and clinical applicability of this novel registration method.

Main Methods:

A Sense 3D scanner was calibrated and mounted on a tripod for initial scanning.
The scanner was used to capture the patient's head surface, creating a unified point cloud.
A two-step registration process transformed scan data into patient and then image space.

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Main Results:

Phantom studies demonstrated a mean target registration error of 1.61±0.09 mm.
Clinical experiments achieved a mean target registration error of 2.50±0.31 mm on patient heads.
The achieved accuracy meets the requirements for clinical neurosurgery.

Conclusions:

The Sense 3D scanner is a viable tool for patient-to-image registration in neurosurgery.
Its low cost and effectiveness suggest it can substitute current registration scanners.
This technology offers a more accessible solution for image-guided neurosurgery systems.