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Further developments of the algorithm would include allowances for 3D earth structure and a priori site-specific information.
Ulterior developments of the algorithm for the automatic segmentation of peri-vascular tissue (e.g. texture based segmentation) and discrimination of normal artery wall (e.g. additional geometrical features) would allow for a fully automated assessment of images and thus complete IVOCT pullbacks.
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Two main issues are identified as regards the development of the algorithm.
Here, we demonstrate the development of the algorithm we used in several steps.
The paper presents the development of the algorithm along similar lines to FEM/BEM coupling approaches.
The following five sub-sections describe in details the development of the algorithm applied in this study.
Another interesting problem to study would be the development of the algorithm to handle vector type signals.
Moreover, a notation is used that was optimized for conciseness to alleviate further development of the algorithm.
APVV did not play any role in the design of the study, or development of the algorithm, or writing the manuscript.
With the development of the algorithm, using good values of Xfather and Xmother instead of other values for crossover, the search algorithm are gradually efficient.
While implementing the gating+ algorithm, we noticed some limitations/behaviors of the processing that we hope to address in future development of the algorithm.
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