MIT EECS — Slaughter Undergraduate Research and Innovation Scholar
3-D Reconstruction for Lymphedema Detection
Regina A. Barzilay
Lymphedema is a disabling condition that affects many breast cancer survivors. Many Oncology articles agree that early detection is crucial for patient treatment, but there is not a clear consensus on a good model for detection. Waiting for a patient’s arm to become noticeable swollen or ‘fat’ is not ideal, and there is no generally accepted diagnostic method for early detection. One possible solution to this problem is using computer vision to be able to reconstruct a patient’s arm in 3D as well as calculating the arm’s volume more accurately than the current methods which are either too crude or involve expensive equipment. Once we have an accurate reconstruction we can apply techniques from machine learning to be able to detect and localise changes in arm structure.
I am a Junior studying Electrical Engineering and Computer Science and I am interested in algorithms, AI, and robotics. I really enjoy learning new skills and recently became interested in computer vision and its applications to medicine. I hope with this project to become more proficient in this skill and I am excited to be able to contribute to the health improvement of lymphedema patients.