Blood Perfusion Imaging Pulse Cam Highresolution blood perfusion

Blood Perfusion Imaging Pulse. Cam: High-resolution blood perfusion imaging using a camera and a pulse oximeter Mayank Kumar 1, James Suliburk 2, Ashok Veeraraghavan 1, and Ashutosh Sabharwal 1 1 Rice University 2 Baylor College of Medicine Under Review, Patent pending

Introduction • Blood perfusion is flow of blood to end organs and tissue; is vital in ensuring oxygen deliver to cells, and in maintaining metabolic homeostasis. • Measuring blood perfusion in tissue useful in critical care, wound care, plastic surgery, burn assessment • Laser speckle contrast imaging and laser Doppler imaging devices are commercially available for measuring blood perfusion maps. • But, these devices are bulky, expensive, and cumbersome to use, and are not routinely used in clinical settings like ICU care, during surgery etc.

Camera-only Blood perfusion imaging • • Camera-only blood perfusion imaging suffers from low SNR problem. Past works rely on spatial averaging to reduce noise, thereby compromising spatial resolution. Image Credit: A. A. Kamshilin, V. Teplov, E. Nippolainen, S. Miridonov, and R. Giniatullin, “Variability of microcirculation detected by blood pulsation imaging. ” Plo. S one, vol. 8, no. 2, p. e 57117, Jan. 2013.

Figure 5. Time traces of the BPA (black curves) and the mean intensity of the back-reflected light (blue curves) calculated for four subjects by data averaging within selected ROI of 8× 8 pixels. Kamshilin AA, Teplov V, Nippolainen E, Miridonov S, Giniatullin R (2013) Variability of Microcirculation Detected by Blood Pulsation Imaging. PLo. S ONE 8(2): e 57117. doi: 10. 1371/journal. pone. 0057117 http: //journals. plos. org/plosone/article? id=info: doi/10. 1371/journal. pone. 0057117

Pulse. Cam: a Multi-sensor modality Camera: measures noisy blood volume waveform from each pixel Sensor fusion algorithm Pulse. Ox: measures reliable blood volume waveform at a single spot High resolution pulsatile perfusion map

Pulse. Cam: Steps Involved

Pulse. Cam: SNR Improvement Pulse. Cam provides an SNR improvement of around 0. 5 – 3 d. B

Pulse. Cam Validation: PORH

Pulse. Cam: Results Summary • On an average, we see an SNR improvement of 0. 53 d. B per pixel block in the blood perfusion map derived from Pulse. Cam compared to camera-only method. • Achieve 2 -3 times better resolution compared to camera only method. Needs averaging over only 4 x 4 pixel block. • (Qualitative): PORH response curve is similar in shape to one obtained using laser Doppler perfusion monitors.

Pulse. Cam: Video Demo