[Image-M, a tool for use in medical image analysis]

Area of Science:

• Computer Science
• Medical Imaging
• Robotics

Background:

• Image processing is crucial in fields like robotics, teledetection, and medicine.
• Current adoption is limited due to the high cost of specialized hardware.
• This necessitates accessible solutions for broader research application.

Purpose of the Study:

• To address the hardware cost barrier in image processing research.
• To develop and utilize a cost-effective software solution for image analysis.
• To facilitate research specifically within the domain of medical imaging.

Main Methods:

• Developed custom image processing software requiring only a personal computer.
• The software enables image analysis and manipulation without expensive dedicated hardware.
• The developed tool was applied to conduct research in medical image processing.

Main Results:

• Successfully created a functional image processing software accessible via personal computers.
• Overcame the hardware cost limitation previously hindering research.
• Enabled the team to conduct novel research in medical image processing.

Conclusions:

• Accessible software solutions can democratize advanced research fields like medical imaging.
• Personal computer-based image processing is a viable and cost-effective alternative.
• The developed software facilitates wider adoption and application of image processing techniques in medicine.