Multitracer: a Java-based tool for anatomic delineation of grayscale volumetric images.

Area of Science:

• Medical Imaging
• Computational Anatomy

Background:

• Accurate delineation of anatomic structures in volumetric medical images is crucial for quantitative analysis and research.
• Existing tools may lack advanced features for simultaneous multiplanar visualization, subvoxel resolution, or flexible image utilization.

Purpose of the Study:

• To describe a novel Java-based software tool designed for delineating anatomic boundaries in grayscale volumetric images.
• To highlight the tool's modern features that enhance precision, efficiency, and usability in anatomic segmentation.

Main Methods:

• Development of a Java-based application for processing 8- and 16-bit grayscale volumetric image data.
• Implementation of features including simultaneous three-orthogonal-plane viewing, high-quality image magnification, subvoxel boundary encoding, and interchangeable coregistered image utilization.
• Inclusion of multiuser/multiplatform support and protocol documentation capabilities.

Main Results:

• The tool enables simultaneous visualization of cursor position and boundaries across three orthogonal planes.
• It supports high-quality image magnification with interpolation and saves boundaries at subvoxel resolution.
• The software facilitates interchangeable use of coregistered images and offers manual editing/correction of image volumes.

Conclusions:

• The developed tool provides a robust platform for precise anatomic boundary delineation in volumetric imaging.
• Its advanced features and editing capabilities support sophisticated quantitative analyses and protocol standardization.
• The tool holds significant potential for both research applications and educational purposes in medical imaging and anatomy.