Multispectral Photoacoustic Imaging of Breast Cancer Tissue
Student Contest:
Yes
Affiliation Type:
Academia
Keywords:
Multispectral photoacoustic imaging, breast cancer, margin detection, intraoperative biopsy
Abstract:
This study presents a novel technique utilizing multispectral photoacoustic imaging with the goal of ultimately guiding biopsy resection intraoperatively. We developed a photoacoustic imaging method aimed at distinguishing cancer tissue signatures from surrounding water and healthy tissue. We acquired multispectral photoacoustic data from formalin-fixed paraffin-embedded breast cancer and healthy tissue samples using a specialized imaging platform. Laser wavelengths ranging 680-970 nm and 1200-2000 nm were employed, with a K-means clustering algorithm implemented to classify voxels into three groups: healthy tissue, cancerous tissue, and water. Testing on additional tissue samples demonstrated the effectiveness of the clustering algorithm in distinguishing between healthy and cancer tissue. Results indicate feasibility for non-invasive, label-free characterization of breast cancer absence, to support intraoperative tissue assessment and margin delineation.
