3D Automated Whole Breast Ultrasound Imaging

Our mission: Eradicate breast cancer as a life-threatening disease by developing a safe and reliable screening technology for early breast cancer detection.

images_v2Breast cancer: Failures and frustrations

(USA data)

  • 30% of breast cancers missed
  • 90% of recalls negative
  • 73% unnecessary biopsies
  • 1 in 3 undiagnosed with multi-focal disease
  • Breast cancer is still being diagnosed too late: 10% in Stage 4


Current Screening

Mammography misses up to 52% of cancers in women with dense breast tissue. Nearly half of women population have dense breast tissue.

Ultrasound is good for seeing through dense tissue. With the latest Automated Ultrasound Breast Scanners (ABUS) one can find 37% of additional cancers in women with dense breast tissue. However, today’s ABUS has an unacceptably high rate of false alarms that outweighs its benefit.


Our Solution

SonoView developed an imaging technology based on radically new use of ultrasound. The key innovation lies in coupling new sensors able to capture information ignored by conventional ultrasound with sophisticated computing algorithms that process this information into diagnostically new and relevant parameters. As a result, we produce multi-parametric ultrasound images that contain a standard B-mode image and two additional quantitative tissue parameters: sound speed and attenuation.

This allows one to:

  1. Detect breast cancer at an earlier stage and improve survival rates.
  2. Better differentiate between benignant and malignant tissue and reduce unneeded biopsies.
  3. Assess breast density information and predict the risk factor for breast cancer.
  4. Safely monitor suspicious findings and responses to therapy.


Our results show that this technology can be used to improve today’s breast imaging and to allow early breast cancer detection. In the figure below we can see on the left one slice of a 3D breast phantom with different tissue types (fat, glandular tissue and muscles) and different mass inclusions (round fat, cysts and irregular tumor). On the right, we show a sound speed reconstruction of the same slice with our method. All tissue types and inclusions bigger or equal to 2 mm are well reconstructed. For comparison purpose, early breast cancer detection is defined as detecting cancers that are smaller or equal to 2 cm.


Interested in joining our project?

We are currently looking for investors, radiologists, partners and project ambassadors.

Contact us