2021/07/03 by Shiqi Xu, Xu, Shiqi, Xi Yang +21
Engineering · Medicine · #Computer Vision and Pattern Recognition (cs.CV) #FOS: Biological sciences #FOS: Computer and information sciences #FOS: Electrical engineering #FOS: Physical sciences #Image and Video Processing (eess.IV) #Non-Invasive Vital Sign Monitoring #Optical Imaging and Spectroscopy Techniques #Optics (physics.optics) #Photoacoustic and Ultrasonic Imaging #Tissues and Organs (q-bio.TO) #electronic engineering #information engineering
paper · pdf · doi:10.48550/arxiv.2107.01422
openalex publication_date 2021/07/03 · openalex created_date 2022/11/30 · openalex updated_date 2026/07/28
Noninvasive optical imaging through dynamic scattering media has numerous important biomedical applications but still remains a challenging task. While standard diffuse imaging methods measure optical absorption or fluorescent emission, it is also well-established that the temporal correlation of scattered coherent light diffuses through tissue much like optical intensity. Few works to date, however, have aimed to experimentally measure and process such temporal correlation data to demonstrate deep-tissue video reconstruction of decorrelation dynamics. In this work, we utilize a single-photon avalanche diode (SPAD) array camera to simultaneously monitor the temporal dynamics of speckle fluctuations at the single-photon level from 12 different phantom tissue surface locations delivered via a customized fiber bundle array. We then apply a deep neural network to convert the acquired single-photon measurements into video of scattering dynamics beneath rapidly decorrelating tissue phantoms. We demonstrate the ability to reconstruct images of transient (0.1-0.4s) dynamic events occurring up to 8 mm beneath a decorrelating tissue phantom with millimeter-scale resolution, and highlight how our model can flexibly extend to monitor flow speed within buried phantom vessels.