Yonas Kassaw

• Masters Degree, MSc, Biomedical Engineering

  The Institute of Technology at Linköping University

  • Medical Image Analysis (TBMI02)
  • Biomedical Signal Processing (TBMT01)
  • Biomedical Optics (TBMT36)
  • Biomedical Modeling and Simulation (TBME08)
• • Intensive Care and Therapeutic Systems (TBMT24)

• Hyperspectral Image Analysis Algorithm For Characterizing Human Tissue

  • Linköping University
  • February 17, 2012
  Authors: Yonas Kassaw

  In the field of Biomedical Optics measurement of tissue optical properties, like absorption, scattering, and reduced scattering coefficient, has gained importance for therapeutic and diagnostic applications. Accuracy in determining the optical properties is of vital importance to quantitatively determine chromophores in tissue.There are different techniques used to quantify tissue chromophores. Reflectance spectroscopy is one of the most common methods to rapidly and accurately characterize the blood amount and oxygen saturation in the microcirculation. With a hyper spectral imaging (HSI) device it is possible to capture images with spectral information that depends both on tissue absorption and scattering. To analyze this data software that accounts for both absorption and scattering event needs to be developed.In this thesis work an HSI algorithm, capable of assessing tissue oxygenation while accounting for both tissue absorption and scattering, is developed. The complete imaging system comprises: a light source, a liquid crystal tunable filter (LCTF), a camera lens, a CCD camera, control units and power supply for light source and filter, and a computer.This work also presents a Graphic processing Unit (GPU) implementation of the developed HSI algorithm, which is found computationally demanding. It is found that the GPU implementation outperforms the Matlab “lsqnonneg” function by the order of 5-7X.At the end, the HSI system and the developed algorithm is evaluated in two experiments. In the first experiment the concentration of chromophores is assessed while occluding the finger tip. In the second experiment the skin is provoked by UV light while checking for Erythema development by analyzing the oxyhemoglobin image at different point of time. In this experiment the melanin concentration change is also checked at different point of time from exposure.It is found that the result matches the theory in the time dependent change of oxyhemoglobin and deoxyhemoglobin.

1. Programming in C and C++
2. Programming in MATLAB
3. Programming in CUDA
4. Biomedical Signal processing
5. Biomedical Image Processing
6. Image Processing
7. C++
8. Signal Processing
9. Programming
10. C
11. Algorithms
12. Biomedical Engineering
13. Optics
14. Testing
15. Software Development
16. Simulation
17. Mathematical Modeling
18. Physics
19. Medical Devices
20. Research
21. Microsoft Office
22. Medical Imaging

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