Tehran University of Medical Sciences Frontiers in Biomedical Technologies 2345-5837 7 3 2020 09 30 201 205 Ebrahim Najafzadeh Department of Medical Physics and Biomedical Engineering, Tehran University of Medical Sciences, Tehran, Iran AND Research Centre of Biomedical Technology and Robotics, Imam Khomeini Hospital Complex, Tehran University of Medical Sciences, Tehran, Iran Parastoo Farnia Department of Medical Physics and Biomedical Engineering, Tehran University of Medical Sciences, Tehran, Iran AND Research Centre of Biomedical Technology and Robotics, Imam Khomeini Hospital Complex, Tehran University of Medical Sciences, Tehran, Iran Alireza Ahmadian Department of Medical Physics and Biomedical Engineering, Tehran University of Medical Sciences, Tehran, Iran AND Research Centre of Biomedical Technology and Robotics, Imam Khomeini Hospital Complex, Tehran University of Medical Sciences, Tehran, Iran AND Parsiss Knowledge Based Company, Tehran, Iran Hossein Ghadiri Department of Medical Physics and Biomedical Engineering, Tehran University of Medical Sciences, Tehran, Iran AND Research Center for Molecular and Cellular Imaging, Imam Khomeini Hospital Complex, Tehran, Iran 2020 10 04 2020 10 04 Purpose: A Photoacoustic Imaging (PAI) as a non-invasive hybrid imaging modality has the potential to be used in a wide range of pre-clinical and clinical applications. There are different optical excitation sources that affect the performance of PAI systems. Our goal is proving the capability of the Light-Emitting Diode (LED) based PAI system for imaging of objects in different depths. Materials and Methods: In this study the Full Width of Half Maximum (FWHM) and Contrast to Noise Ratio (CNR) of LED-based PAI system is evaluated using agar, and Poly-Vinyl Alcohol Cryogel (PVA-C) phantoms. Results: The results show that axial and lateral FWHM of the photoacoustic image in agar phantom 1%, are 0.59 and 1.16 mm, respectively. It is capable of distinguishing objects about 250 µm. Furthermore, one of the main improvements of photoacoustic images is achieved by proposed LED-based system that is a 26% higher CNR versus the ultrasound images. Conclusion: Therefore, the provided technical characteristics in this study have made designed LED-based PAI system as a suitable tool for preclinical and clinical imaging. https://fbt.tums.ac.ir/index.php/fbt/article/view/282 https://fbt.tums.ac.ir/index.php/fbt/article/download/282/171