Image Registration and Analysis
Focus:
Developing robust methods to align tumor images from different time points for tracking growth and deformation patterns.
Key Contributions:
Designed and implemented algorithms for keypoint selection and image registration using techniques like rotation, translation, and scaling to achieve precise alignment.
Enhanced image preprocessing with contrast adjustment, edge sharpening, and connectivity enhancement to improve feature detection and matching accuracy.
Solved challenges in identifying overlapping regions of images to ensure consistency in analysis across timepoints.
Significance:
These efforts laid the groundwork for accurate temporal analysis of tumor behavior, enabling the extraction of critical growth data for further biomechanical investigations.
