Physiological Assessment of Wound Healing using a Near-Infrared Optical Scanner

  • Conference Biomedical Engineering Society Annual Meeting (BMES), October 5-8, 2016 in Minneapolis, Minnesota
  • Authors: Rebecca Kwasinski, Cristianne Fernandez, Kevin Leiva, Edwin Robledo, Yuanyuan Zhu, Penelope Kallis, Francesco-Perez Clavijo, Ruogu Fang, Robert Kirsner, Anuradha Godavarty
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Hemodynamic Imaging of Lower Extremity Ulcers

  • Conference Innovations in Wound Healing, Dec. 2016.
  • Authors: Rebecca Kwasinski, Cristianne Fernandez, Kevin Leiva, Edwin Robledo, Yuanyuan Zhu, Penelope Kallis, Francesco-Perez Clavijo, Ruogu Fang, Robert Kirsner, Anuradha Godavarty
  • Abstract: Clinicians employ visual inspection of the wound and reduction in its size over time to monitor its healing process. Although these are standard clinical assessments, there is a need to develop a physiological approach that can map sub-surface tissue oxygenation at and around the wound region. Recently, a non-contact, portable, hand-held near infrared optical scanner (NIROS) has been developed to functionally image wound sites and differentiate healing from non-healing in lower extremity ulcers. Past studies using NIROS focused on differentiating healing from non-healing wounds based on NIR optical contrast between the wound and healthy surrounding tissue. However, these studies did not showcase the physiological changes in tissue oxygenation. Herein, NIROS has been modified to perform multi wavelength imaging in order to obtain the oxy and deoxy- hemoglobin maps of the wound and its surroundings. Clinical studies are currently performed at two clinical sites in Miami on lower extremity ulcers (2, diabetic foot ulcers (DFUs) and 4 venous leg ulcers (VLUs to date). Preliminary results have shown changes in oxy- and deoxy-hemoglobin maps of the wound and background across weeks of the treatment process. Image segmentation studies quantified regions of varied tissue oxygenation around and beneath the wound to potentially determine sub-surface healing regions. Ongoing efforts involve systematic 8-week imaging studies to obtain physiological indicators of healing from hemodynamic studies of DFUs and VLUs.

A reconstruction framework that based on block-dictionary learning and sparse modeling for PET

  • Patent Submitted to CNIPA, 07-06-2017
  • Award for outstanding achievement
  • Authors: Yuanyuan zhu, Huafeng Liu

Near Field Optical Characterization of VCSEL

  • Poster 15th Annual Summer Undergraduate Research Symposium, North Carolina State University
  • Award for outstanding achievement
  • Authors: Yuanyuan zhu, Dongming Sun
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