1. NEUROIMAGING TECHNIQUE USING TIME-RESOLVED DIFFUSE OPTICAL TOMOGRAPHY AND INHOMOGENEITY LOCALIZATION ALGORITHM
Potlov A.Yu,
Frolov S.V.,
Proskurin S.G.
Biomedical Engineering, TSTU
Saratov Fall Meeting 2018

2. THE OBJECTIVES
The purpose of our study was to develop an algorithm for obtaining functional images of the human brain and its tissue-like phantoms based on the time-resolved diffuse optical tomography
The method is based on the principles of near infrared spectroscopy, in particular on the increased depth of sensing in optical transparency window and the differences in the absorption spectra of oxygenated and deoxygenated blood. 2

3. STRUCTURAL & FUNCTIONAL VISUALIZATION
CHARACTERISTIC
STRUCTURAL DOT
FUNCTIONAL DOT
Wavelength
NIR I ( nm)
Two or more wavelengths with one wavelength above and one below the isosbestic point of 810 nm
Detectable structures
Fibroadenoma, ductal carcinoma, glioblastoma etc.- absorbing inhomogeneities;
cyst, edema etc. - scattering inhomogeneities
Sectors with increased and decreased oxygenation - absorbing inhomogeneities
Features of inverse problem solution
Localization of absorbing and scattering structures
Localization only absorbing structures (against the background of other tissues)
Performance
Low due to a wide range of optical properties of the detectable structures and a large number it
High due to narrow ranges of optical properties of the detectable sectors 3

4. ALGORITHM FOR OBTAINING STRUCTURAL DOT IMAGES
Optics and spectroscopy (2016), p. 9 4

5. NEXT STEPS
Optics and spectroscopy (2016), p. 9 5

6. NEXT STEPS
Optics and spectroscopy (2016), p. 9 6

7. OBTAINING STRUCTURAL DOT IMAGES
(a) (b)
MRI scan of a patient with a metastases (a), the result of its localization (b) with border line reconstructions
Advanced Laser Technologies (2016), BP-P-7 7

8. DEVELOPTED METHOD FOR OBTAINING FUNCTIONAL DOT IMAGES8

9. The results of the work are to be published.
CONCLUSIONS
The described method is implemented using the LabVIEW package and is in the verification stage.
The results of the work are to be published.
Further research will be focused on
increasing reliability of the developed method and
developing algorithms for rapid assessment of selected neurological diseases. 9