Ata Chizari

 

Address

Faculty of Science and Technology
Biomedical Photonic Imaging
Zuidhorst ZH267
P.O. Box 217
7500 AE Enschede
The Netherlands

Email: a.chizari@utwente.nl
Telephone: +31 53 489 1225

Project subject:  Dynamic Speckles and Microcirculation Imaging

Project goal: Design and development of a handheld device able to visualize skin perfusion employing laser speckle contrast analysis which addresses motion artefact and introduces robustness against tissue curvature

An inceptive summary of the research part: Microcirculatory perfusion imaging is an attractive field of study which is facing incredible demand to be extended due to its application in diagnosis approaches such as cancer treatment, burn wound staging, skin diseases monitoring, etc. In this project, we aim to design and develop a full-field, handheld, and compact device for skin blood perfusion imaging purposes. The affordable and integrable device to be designed will be able to scan a wide area of body skin including tissue curvatures. The robustness against motion artefact is of importance in the final steps of the system design.

image 1

The concentration and speed of red blood cells can be measured according to the behavior of dynamic speckles. This is achievable employing speckle image analysis and three dimensional tissue surface profiling. The blood flow and concentration can be analyzed and estimated using either laser Doppler perfusion imaging (LDPI) or laser speckle contrast analysis (LASCA) techniques. In LDPI technique, a fast CMOS camera is employed to make an estimation of blood flow according to the optical Doppler shift introduced in the resultant dynamic speckle. This leads to almost accurate blood relative flow estimation. However, using CMOS camera makes the whole system both sizable and costly for commercial use in the market. As a result, in the first work package, we make an effort to design a hardware enhanced perfusion imaging system simple as LSCI and quantitated as LDPI.

image 2

Furthermore, the interferometric basis of laser speckles makes the perfusion systems vulnerable to the physical movement while imaging. In the second work package, the main focus will be to identify and reduce the so called motion artefacts. An important bottleneck concerning current perfusion imagers is their sensitivity to tissue curvatures. In the third part of the project, the aim is to propose a model for surface curvature and then try to make correction in the measurements correspond to different tissue curvatures. All the aforementioned steps form the first prototype of a handheld skin perfusion imager, as a milestone, ready for starting clinical research and studies.

Relevant References:

  • Goodman, Joseph W. “Statistical properties of laser speckle patterns.” Laser speckle and related phenomena. Springer Berlin Heidelberg, 1975. 9-75
  • Goodman, Joseph W. “Some fundamental properties of speckles.” JOSA 66.11 (1976): 1145-1150.
  • Draijer, Matthijs J., et al. “Relation between the contrast in time integrated dynamic speckle patterns and the power spectral density of their temporal intensity fluctuations.” Optics express 18.21(2010): 21883-21891.
  • Draijer, Matthijs, et al., “Twente optical perfusion camera: system overview and performance for video rate laser Doppler perfusion imaging”, Optics Express 17. 5 (2009): 3211-3225
  • Gnyawali, Surya C., et al., “Retooling laser speckle contrast analysis algorithm to enhance non-invasive high resolution laser speckle functional imaging of cutaneous microcirculation.” Scientific reports 7 (2017).
  • Omarjee, Loukman, et al. “Optimization of movement detection and artifact removal during laser speckle contrast imaging.” Microvascular research 97 (2015): 75-80.
  • Maier-Hein, Lena, et al. “Optical techniques for 3D surface reconstruction in computer-assisted laparoscopic surgery.” Medical image analysis 17.8 (2013): 974-996.