Author/Authors :
Najafzadeh, Ebrahim Department of Medical Physics and Biomedical Engineering - School of Medicine - Tehran University of Medical Sciences - Tehran, Iran - Research Centre of Biomedical Technology and Robotics - Imam Khomeini Hospital Complex - Tehran University of Medical Sciences - Tehran, Iran , Farnia, Parastoo Department of Medical Physics and Biomedical Engineering - School of Medicine - Tehran University of Medical Sciences - Tehran, Iran - Research Centre of Biomedical Technology and Robotics - Imam Khomeini Hospital Complex - Tehran University of Medical Sciences - Tehran, Iran , Ahmadian, Alireza Department of Medical Physics and Biomedical Engineering - School of Medicine - Tehran University of Medical Sciences - Tehran, Iran - Research Centre of Biomedical Technology and Robotics - Imam Khomeini Hospital Complex - Tehran University of Medical Sciences - Tehran, Iran - Parsiss Knowledge Based Company - Tehran, Iran , Ghadiri, Hossein Research Center for Molecular and Cellular Imaging - Imam Khomeini Hospital Complex - Tehran, Iran
Abstract :
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.
