| Title |
Galvos smegenų pulsacijų tyrimas ultragarsiniu judesio aptikimo metodu / |
| Translation of Title |
Investigation of brain pulsations by ultrasonic motion detection. |
| Authors |
Šlikas, Domantas |
| Full Text |
|
| Pages |
48 |
| Keywords [eng] |
brain ; pulsations ; neurodegeneration ; ultrasound |
| Abstract [eng] |
One of the new ideas for neurodegenerative diseases detection is head brain pulsations detection and analysis using ultrasonic methods. This work presents a method for motion (pulsations) detection using ultrasound. The algorithm used in the method is based on convolution or cross-correlation functions calculation between radio-frequency signal segments in different ultrasound video frames. Segments are separated using window function. Motion (pulsations) is estimated using peak values of convolution or cross-correlation functions. Ultrasonic motion detection method analysis includes motion detection algorithm analysis and holder used to stabilize the ultrasonic transducer analysis. The algorithm was analyzed by comparing known signal from generator and recreated motion signal. Results show that the algorithm accurately recreate signal generator frequency and responds proportionally to changes in signal amplitude. The ultrasonic transducer holder was proved to be suitable for recording motion (pulsations) signals because it meets the requirements of stability and mobility. The ultrasonic method was tested with real ultrasonic signals to distinguish intracranial pulsations from skin and skull (superficial tissues) pulsations of healthy volunteers. The algorithm was also tested for evaluation of brain pulsations in patients with Parkinson's disease and healthy individuals. Ultrasonic signals were analyzed and the influence of head superficial tissues pulsations on head brain pulsations was obtained. It was also confirmed that head brain pulsations in patients with Parkinson's disease are higher when compared to healthy individuals. To sum up, the results suggest that proposed ultrasonic motion detection method is specific for detecting pulsations and can be used to study brain pulsations for neurodegenerative diseases diagnostics. |
| Dissertation Institution |
Kauno technologijos universitetas. |
| Type |
Master thesis |
| Language |
Lithuanian |
| Publication date |
2020 |
