Improved Software to Browse the Serial Medical Images for Learning

Area of Science:

• Medical Education
• Medical Imaging Software Development

Background:

• Traditional printed textbooks struggle to accommodate the vast number of serial images required for medical pedagogy.
• Existing image viewer software lacks the efficiency needed for handling large medical image datasets.

Purpose of the Study:

• To develop specialized browsing software for efficient management and selection of serial medical images.
• To enhance the accessibility and usability of medical image data for educational purposes.

Main Methods:

• Developed custom software with three distinct interfaces: scroll bars and checkboxes for image selection.
• Integrated a feature to display names of outlined anatomical structures within the images.
• Tested the software using diverse anatomical image datasets, including cadaver sections, stomach volume models, and dissected knee images.

Main Results:

• The developed software allows for efficient browsing and selection of serial medical images.
• The software successfully displayed names of outlined structures, aiding anatomical identification.
• Tested datasets confirmed the software's functionality with various medical image types.

Conclusions:

• The newly developed browsing software offers a practical solution for managing and utilizing serial medical images in medical education.
• The software is freely available, downloadable, and supports offline use, promoting wider adoption.
• The customizable data sets encourage contributions from developers, fostering a collaborative educational resource.