Mechanical imaging of the breast

Area of Science:

• Biomedical Engineering
• Medical Imaging
• Biophysics

Background:

• Elasticity imaging offers a non-invasive method for breast lesion detection.
• Assessing tissue mechanical properties can aid in differentiating benign from malignant lesions.

Purpose of the Study:

• To analyze the physical basis of breast elasticity imaging using mechanical imaging.
• To introduce and validate the breast mechanical imager (BMI) as a novel diagnostic tool.

Main Methods:

• Developed a mechanical imaging technique measuring breast skin stress patterns via a force sensor array.
• Implemented the technique in a compact device (BMI) with a handheld probe and data processing unit.
• Validated the BMI prototype through laboratory experiments on tissue models and an ongoing clinical study.

Main Results:

• Mechanical imaging effectively detects internal breast structures based on differential elastic properties.
• The BMI accurately calculates lesion size, shape, consistency/hardness, and mobility.
• Validation studies demonstrate the BMI's feasibility and effectiveness.

Conclusions:

• The breast mechanical imager (BMI) shows significant potential as a screening and diagnostic tool.
• BMI offers advantages over clinical breast examination, including higher sensitivity, quantitative data storage, ease-of-use, and low cost.
• Mechanical imaging represents a promising advancement in non-invasive breast lesion assessment.