Dual-scan Photo-acoustic Mammoscope
Photo-acoustic Dual-Scan Mammoscopy (DSM) is a portable, radiation-free breast imaging technique that combines photo-acoustic imaging, ultrasound, and later elastography to improve breast cancer detection and tissue characterization. The system images the breast in a standing position using mild compression, making it more comfortable than traditional mammography, and scans from both the top and bottom to create mammogram-like craniocaudal views. Photo-acoustic imaging highlights blood vessel patterns by detecting optical absorption from hemoglobin, while ultrasound provides structural information about breast tissue. Together, these features allow the system to visualize tumor-related vascular changes, such as larger blood vessels and stronger background signal variations in tumor-bearing breasts compared with healthy breasts. Across the studies, DSM was shown to scan breast tissue quickly, achieve about 1 mm resolution, and potentially help distinguish malignant tissue and different tumor types. The second-generation DSM improved the technique by expanding the field of view, increasing stability, improving ultrasound image quality, and adding elastography to measure tissue stiffness. Overall, DSM shows promise as a comfortable, fast, and radiation-free breast imaging method, especially for patients with dense breasts, with potential to support breast cancer screening and diagnosis.
OneTouch Photo-acoustic Breast Imaging
OneTouch-PAT is an automated breast imaging system that combines photoacoustic imaging and ultrasound to scan patients in a standing position. The system captures co-registered 3D images within one minute, using ultrasound to show breast structure and photoacoustic imaging to highlight tumor-related blood vessel patterns. A deep-learning network further improves image quality by enhancing vascular details and reducing noise. Tested on healthy subjects and breast cancer patients, the system showed potential for improving breast cancer diagnosis, tissue characterization, and imaging-based cancer classification.
AI powered chemotherapy Monitoring
The OneTouch breast imaging system is an automated platform that combines photoacoustic imaging and ultrasound to capture detailed breast images while the patient is standing. This approach is designed to improve patient comfort, reduce operator variability, and provide fast, co-registered images without ionizing radiation or contrast agents.
By using ultrasound to show breast structure and photoacoustic imaging to highlight tumor-associated blood vessel patterns, OneTouch-PAT may help improve breast cancer diagnosis, tumor classification, and early prediction of treatment response.
Guided at Home AI-Ultrasound
Breast ultrasound is an important imaging tool, especially for patients with dense breast tissue or suspicious breast findings. However, traditional ultrasound systems are often expensive, clinic-based, and dependent on trained operators, which limits their use for frequent or more accessible imaging. This project explores a low-cost, wireless handheld ultrasound approach supported by EchoWell Health-assisted image analysis to make breast imaging more scalable and patient-accessible. By testing deep learning models on both clinical and patient-acquired wireless ultrasound scans, this work evaluates whether suspicious breast regions can be meaningfully identified despite challenges such as lower image quality, scan variability, and differences from conventional ultrasound systems. Early results suggest that this framework may support future development of affordable, self-directed breast imaging and volumetric reconstruction.