Depth-Sensing Augmented-Reality Surgical Image Registration

The patent introduces depth sensors as an intermediary component that captures depth information about the patient's anatomy and surgical tools. This depth data serves as a mediator between the physical surgical field and the virtual augmented-reality images, enabling accurate registration and alignment by providing three-dimensional spatial context that traditional two-dimensional image-guided systems lack.

The patent transitions from traditional two-dimensional image-guided surgery to three-dimensional depth-aware augmented reality by incorporating depth sensing. The depth sensors capture the third dimension (depth/Z-axis) of the surgical field, allowing computer-generated images to be accurately positioned and oriented in three-dimensional space relative to the patient's anatomy and surgical tools, thereby resolving alignment issues that plague 2D systems.

The patent makes the depth sensors serve multiple functions: they track the position and orientation of surgical tools, map the patient's anatomy in three dimensions, and provide spatial context for registering virtual images. By making the depth sensing component multi-functional, the system achieves high tracking precision without proportionally increasing complexity, as the same hardware infrastructure supports multiple critical functions.

The patent combines depth sensing capabilities with the existing augmented-reality display and image-guidance system. Rather than treating depth sensing as a separate add-on, the depth data is integrated into the core registration and rendering pipeline, allowing the system to process depth information alongside traditional 2D image data in a unified framework, thereby reducing overall system complexity.

The patent performs preliminary registration and alignment calculations during the pre-operative planning phase, where time is not critical. The system pre-computes transformation matrices and registration parameters based on the patient's anatomy and planned surgical approach. During the actual surgery, the system only needs to apply these pre-computed transformations to real-time depth data, significantly reducing processing time while maintaining high registration accuracy.

The patent implements selective processing of depth data by focusing computational resources on the most critical regions and parameters. Rather than processing every pixel or point in the depth map at full resolution, the system identifies and prioritizes processing of key anatomical landmarks and surgical tool positions, achieving sufficient registration accuracy with reduced computational load and faster processing times.