[3.10-INT] Implement Interpolation Between Label Map Slices with User-Friendly UI

[sedghi]

Purpose
This update introduces an interpolation tool for label map segmentations, allowing users to automatically fill in segmentations between existing slices. By leveraging ITK’s morphological contour interpolation algorithm, this feature enables the creation of smooth, continuous segmentations across unsampled slices, reducing the need for manual work. A dedicated UI will make this tool easy and intuitive to use.

Why This Matters
Manual segmentation of each image slice can be time-consuming and labor-intensive, especially in 3D imaging workflows. By providing a way to interpolate between segmented slices, this tool helps users save time, improve workflow efficiency, and achieve smoother, more continuous segmentations. This feature is particularly valuable in clinical and research applications where large datasets require detailed analysis.

Key Changes

• Automatic Interpolation Between Slices: Enables users to fill in unsampled slices between two segmented slices, creating a continuous label map without manual segmentation.
• ITK-Based Interpolation Algorithm: Utilizes ITK’s morphological contour interpolation algorithm for high-quality, reliable results.
• User-Friendly UI: Includes a dedicated, intuitive interface to make interpolation accessible and efficient for all users.

Impact on Users and Developers

• For Users: The new UI provides a straightforward way to propagate segmentations across unsampled slices, reducing manual effort and making segmentation workflows faster and more consistent.
• For Developers: This feature, built on robust ITK algorithms, provides an efficient and maintainable method for interpolation, which can be customized or extended in future development.