Noninvasive internal bleeding detection method by measuring blood flow under ultrasound cross-section image

Area of Science:

• Medical Imaging
• Robotics
• Biomedical Engineering

Background:

• Internal bleeding is a critical condition requiring rapid and accurate diagnosis.
• Current diagnostic methods may be invasive or have limitations.
• Noninvasive techniques for detecting internal bleeding are highly desirable.

Purpose of the Study:

• To propose a novel noninvasive method for internal bleeding detection.
• To develop a robotic system utilizing ultrasound (US) imaging for blood flow measurement.
• To construct a blood flow measurement algorithm for internal bleeding detection using US cross-section images.

Main Methods:

• Development of a robotic system equipped with an ultrasound probe (BASIS-1).
• Implementation of ultrasound image processing techniques on US cross-section images.
• Construction of a blood flow measurement algorithm tailored for internal bleeding detection.
• Experimental validation using a phantom with an artery model.

Main Results:

• Demonstration of a noninvasive internal bleeding detection method.
• Successful preliminary blood flow measurement experiments.
• Experimental validation of the proposed ultrasound image processing and blood flow algorithm.

Conclusions:

• The proposed noninvasive method shows promise for internal bleeding detection.
• The developed robotic system and algorithm provide a foundation for future advancements.
• Further research is needed to address measurement errors and refine the system.