[3.10-MP] Display Segmentation Outlines in Maximum Intensity Projection (MIP) Viewports

[sedghi]

Purpose
This update enhances the display of segmentation outlines in Maximum Intensity Projection (MIP) viewports, ensuring outlines are accurately rendered around anatomical structures from any viewing angle. Users will be able to customize outline thickness and color, and interactively select specific segments, providing greater clarity and control over segmentation visualization in MIP views.

Why This Matters
MIP viewports are essential for viewing PET/CT data, as they highlight high-intensity areas like lesions. Accurate and customizable segmentation outlines improve the visibility of these regions, making it easier for clinicians and researchers to identify and analyze specific structures. This feature also enhances user control, allowing for a more tailored and interactive visualization experience in MIP displays.

Key Changes

• Anatomically Accurate Outlines: Refines rendering to ensure segmentation outlines correctly wrap around anatomical structures in MIP viewports, visible from any angle.
• Configurable Outline Appearance: Allows users to adjust outline thickness and color for each segment, enhancing visualization clarity.
• Interactive Segment Selection: Adds a "pick" function to interactively select and highlight specific segments within the MIP viewport.

Impact on Users and Developers

• For Users: This update improves the accuracy and customization of segmentation outlines in MIP views, making it easier to identify and analyze regions of interest in PET/CT imaging.
• For Developers: The enhanced outline rendering and interactivity provide a more flexible and precise visualization framework for MIP viewports, which can be leveraged in custom applications or advanced imaging workflows.