User-friendly image processing software tools: general purpose features and application to the correlation of PET-CT...

Area of Science:

• Medical Imaging
• Image Processing
• Neuroscience

Background:

• Positron Emission Tomography (PET) imaging generates complex datasets.
• Accurate anatomical correlation of PET brain images is crucial for clinical and research applications.
• Existing software may lack comprehensive, interactive tools for PET image analysis.

Purpose of the Study:

• To develop an interactive software package for general-purpose image processing.
• To specifically address the challenge of anatomical correlation for PET brain images.
• To provide a user-friendly tool with a graphical interface for enhanced image analysis.

Main Methods:

• Implementation of local image processing routines: smoothing, sharpening, contour extraction, grayscale manipulation (expansion, shrinking, thresholding), and histogram equalization.
• Development of Region of Interest (ROI) handling capabilities: drawing, computing, image transformation to ROI, and ROI editing.
• Inclusion of frequency space image processing techniques, such as Fast Fourier Transform (FFT).

Main Results:

• An interactive software package with a graphical user interface (GUI) is under development.
• The software supports diverse image processing operations, including local and frequency space methods.
• Features for ROI management and visualization with various colormaps are implemented.

Conclusions:

• The developed software offers a comprehensive toolkit for PET brain image analysis.
• Its interactive nature and diverse functionalities aim to improve the anatomical correlation of PET images.
• This tool is expected to be valuable for both clinical diagnostics and neuroscience research.