Quantitative volumetric breast imaging with 3D inverse scatter computed tomography

Area of Science:

• Medical Imaging
• Biomedical Engineering
• Acoustics

Background:

• Distinguishing benign from cancerous breast lesions is crucial for effective treatment.
• Conventional imaging methods like sonography and MRI have limitations in providing a comprehensive view of breast tissue properties.

Purpose of the Study:

• To develop and validate a 3D nonlinear inverse-scattering tomography method for mapping breast tissue properties.
• To assess the utility of acoustic parameters (sound speed and attenuation) for lesion characterization.
• To evaluate the performance of the developed system in a clinical setting.

Main Methods:

• Utilized fully 3D nonlinear inverse-scattering tomography to map sound speed and attenuation in breast tissue.
• Acquired high-resolution (0.6 mm) volumetric reflection tomograms (2-8 MHz bandwidth) and transmission tomograms (2 MHz) with refraction correction.
• Registered transmission and reflection volumes in 3D for comprehensive analysis.

Main Results:

• Achieved high accuracy and linearity in sound speed measurements (1325-1700 m/sec) with ~1.5 mm resolution.
• Attenuation tomograms provided image contrast (0-4 dB/cm/MHz) aiding mass classification.
• Demonstrated precise 3D registration of transmission and reflection data.

Conclusions:

• Ultrasound Computed Tomography (USCT) enables automated, whole-breast scanning for a global 3D view.
• Inherent acoustic parameters can assist in identifying benign and cancerous breast lesions.
• The developed method shows promise for improved breast cancer detection and characterization compared to conventional methods.