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Perspective pinhole model with planar source for augmented reality surgical navigation based on C-arm imaging
Ho-Gun Ha1, Sangseo Jeon1, Seongpung Lee1
1Department of Robotics Engineering, DGIST, Robotics Engineering Building, 333. Techno jungang-daero, Hyeonpung-myeon, Dalseong-gun, Daegu, 42988, Republic of Korea.
A new planar source model for C-arm calibration significantly reduces overlay displacement in augmented reality surgical navigation. This improves the accuracy of overlaying virtual images onto X-ray images, crucial for precise navigation.
Area of Science:
- Medical Imaging
- Computer-Aided Surgery
- Surgical Navigation
Background:
- Augmented reality (AR) surgical navigation relies on accurate overlay of virtual information onto C-arm X-ray images.
- Conventional pinhole camera models used for C-arm calibration introduce overlay displacement, compromising navigation accuracy.
- This displacement is particularly problematic for 3D objects and varies with depth.
Purpose of the Study:
- To propose and validate a modified C-arm calibration model to reduce overlay displacement in AR surgical navigation.
- To enhance the accuracy of AR overlays on X-ray images for improved surgical guidance.
Main Methods:
- Analyzed displacement patterns of 3D objects in C-arm imaging.
- Modeled X-ray source movement as variable intrinsic parameters, replacing the point source with a planar source.
- Implemented a modified pinhole model incorporating the planar source concept.
Main Results:
- The proposed planar source model significantly reduced overlay displacement compared to the conventional method.
- Achieved more accurate spatial and depth overlay of AR onto X-ray images.
- Validated the reduction of displacement and its independence from object depth.
Conclusions:
- Intrinsic parameters describing X-ray source position are depth-dependent for 3D objects.
- The proposed planar source model effectively reduces overlay displacement in C-arm calibration.
- This advancement is essential for enhancing the precision of augmented reality surgical navigation systems.
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