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The proposed method substantially improves upon the intrinsic spatial resolution of the magnetic tracker by applying cross-correlation-based resampling and a two-stage moving window average algorithm.
The magnetic tracker was augmented by cross-correlation-based resampling [ 18] and a two-stage moving window average algorithm to enable high-resolution 3D position tracking and, thus, reconstruction of freehand OCT needle scans.
The method is based on a magnetic tracking system, which is augmented by cross-correlation-based resampling and a two-stage moving window average algorithm to improve upon the tracker's limited intrinsic spatial resolution, achieving 18 µm RMS position accuracy.
To overcome these limitations, assumptions concerning the underlying motion were made to allow the use of a two-stage moving window average algorithm, which is illustrated in Fig. 2. For clarity, we describe the algorithm here in 2D.
Figure 3 e) shows a reconstruction using the magnetic tracker data with cross-correlation-based resampling and the two-stage moving window average algorithm, which maintained high accuracy even in regions having a poor SNR.
Therefore, prior to the refinement with the two-stage moving window average algorithm, a simplified version of the cross-correlation-based technique proposed by Ahmad et al. [ 18] was first employed to selectively discard overlapping A-scans, such that the remaining A-scans were more uniformly spaced, i.e., the speed between them was made more constant.
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