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Enhancing imaging depth of handheld LED-based photoacoustic imaging

Bulsink, R.E. (2022) Enhancing imaging depth of handheld LED-based photoacoustic imaging.

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Abstract:Handheld LED-based photoacoustic imaging has potential for many pre-clinical and clinical applications but is limited by the imaging depth. This thesis is aimed to enhance the imaging depth of a LED-based Photoacoustic system. Different LED-based illumination configurations in the PA system, AcousticX (Cyberdyne Inc., Tsukuba, Japan) are investigated. With the simulated probe, the optimal configuration for the LED illumination is investigated, where the optimal configuration has an array with 10 rows of LED elements at 60 degrees. Furthermore, a deep learning algorithm is trained with two datasets at varying noise levels. The results are compared to a fluence compensation method. The result shows that the use of the trained algorithm can improve the visibility of structures in a noisy image with respect to fluence compensation, especially at high noise levels. Finally, the photoacoustic system is used to investigate the possibility of blood oxygen saturation imaging with respect to the golden standard oximeter. Results show that blood oxygen saturation imaging using a dual-wavelength LED-based photoacoustic system has potential for use in clinical and preclinical applications. Using fluence compensation in this method improves the accuracy of the blood oxygen saturation levels by 12-15%.
Item Type:Essay (Master)
Faculty:TNW: Science and Technology
Subject:30 exact sciences in general, 44 medicine, 50 technical science in general
Programme:Biomedical Engineering MSc (66226)
Link to this item:https://purl.utwente.nl/essays/90512
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