Trajectory Determination Using Alignment Frames for Tissue Imaging
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Solution Overview
Problem
Existing methods for determining the trajectory of living tissue are prone to errors due to uncontrollable movements, especially with high-speed involuntary movements, and require either real-time tracking or post-processing compensation, which are not fully effective and depend on potentially distorted reference frames.
Innovation Solution
A method using multiple high-frame-rate imaging devices to acquire frames with a first imaging device at 500 FPS and 1000 pixels, and a second imaging device for alignment frames, combined with a processing unit to determine the tissue trajectory by relative displacements and error correction techniques, minimizing cumulative errors through alignment frames.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Speed
If real-time tracking of living tissue is implemented, then trajectory determination speed is improved, but measurement precision deteriorates due to uncontrollable movements and distortion by reference frame
Solution Approach 1:
The patent divides the trajectory determination process into multiple segments by using multiple reference frames (first reference frame for high-speed tracking, second reference frame for high-precision measurement). Each reference frame handles a specific segment of the tracking task, allowing real-time speed while maintaining precision through the second reference frame's high-precision measurements.
Solution Approach 2:
The patent introduces alignment frames as intermediary elements that bridge the first and second reference frames. These alignment frames are used to register and align the coordinate systems of both reference frames, enabling seamless transition between high-speed tracking mode and high-precision measurement mode while maintaining overall measurement accuracy.
2Measurement precision
If high-frame-rate imaging is used to capture tissue movement, then trajectory determination accuracy is improved, but device complexity increases due to requirement for multiple imaging devices and processing units
Solution Approach 1:
The patent makes both imaging devices serve multiple functions: the first imaging device performs both high-speed trajectory tracking and provides alignment frames for registration, while the second imaging device provides both high-precision reference images and additional alignment frames. This multi-functionality reduces the need for separate dedicated devices for each function.
Solution Approach 2:
The patent merges the functions of trajectory tracking and reference frame provision into a unified processing system that handles both first and second reference frames through a single processing unit. The alignment frames from both imaging devices are processed together to register their coordinate systems, combining multiple functions into a coordinated system.
3Reliability
If multiple reference frames are used for trajectory determination, then measurement reliability is improved, but loss of information increases due to cumulative errors and registration distortions
Solution Approach 1:
The patent implements feedback mechanisms through alignment frames that continuously monitor and adjust the registration between reference frames. The alignment frames provide feedback on registration quality and allow for iterative correction of coordinate transformations, preventing cumulative errors from propagating through the entire trajectory determination process.
Solution Approach 2:
The patent prepares alignment frames in advance that are specifically designed to compensate for potential registration errors. These alignment frames are captured at known positions and used beforehand to establish accurate registration parameters, cushioning against the harmful effects of cumulative errors before they can affect trajectory measurement reliability.
Data Source
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AI summary
The invention concerns a method of determination of a trajectory (T) of a living tissue (O), in which subsequent frames (F1, Fk, Fl, Fn) representing images of living tissue are acquired with at least a first imaging device (FET) and at least a first segment of a trajectory (T) of the living tissue is determined with a use of relative displacements of at least first subset of subsequent frames and recalculation thereof to coordinates corresponding to time of frame acquisition to form a vector Tm elements tm wherein element tm is at least one coordinate of living tissue, element tm of vector Tm is determined with a use of relative displacements pm,k of at least two preceding frames. The invention further concerns an imaging apparatus for a use with a method according to the invention and a computer program product. The invention further concerns imaging system.