Implementation of a Cost-Effective, Accurate Photoacoustic Imaging System Based on High-Power LED Illumination and FPGA-Based Circuitry

Imaging based on the photoacoustic (PA) phenomenon is a type of hybrid imaging approach that combines the advantages of pure optical and pure acoustic imaging, achieving good results. This method, which offers high resolution, suitable contrast, and non-ionizing radiation, is valuable for the early...

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Main Authors: Maryam AHANGAR DARBAND, Esmaeil NAJAFIAGHDAM
Format: Article
Language:English
Published: Institute of Fundamental Technological Research Polish Academy of Sciences 2025-01-01
Series:Archives of Acoustics
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Online Access:https://acoustics.ippt.pan.pl/index.php/aa/article/view/3977
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author Maryam AHANGAR DARBAND
Esmaeil NAJAFIAGHDAM
author_facet Maryam AHANGAR DARBAND
Esmaeil NAJAFIAGHDAM
author_sort Maryam AHANGAR DARBAND
collection DOAJ
description Imaging based on the photoacoustic (PA) phenomenon is a type of hybrid imaging approach that combines the advantages of pure optical and pure acoustic imaging, achieving good results. This method, which offers high resolution, suitable contrast, and non-ionizing radiation, is valuable for the early detection of various types of cancer. Recently, multiple studies have focused on improving different components of this imaging system. In this presentation, we implemented a simplest form of a PA imaging system for detecting blood vessels, given that angiogenesis is recognized as a common symptom of many cancers. For the first time, we implemented a high-power light-emitting diode (LED), to replace bulky and expensive lasers, and integrated circuit technologies such as field-programmable gate arrays (FPGAs) for a simple LED driver circuit and data acquisition (DAQ). Using an FPGA block, we successfully generated a 200-ns square pulse wave with a repetition frequency of 25 kHz, whose amplified form can drive a high-power LED at 1050 nm for appropriately stimulating the sample. By using ultrasonic sensors with a central frequency of 1 MHz and a DAQ system with 16-bit accuracy, along with a suitable algorithm for image reconstruction, we successfully detected blood vessels in a breast tissue mimic. With the use of the FPGA-based block, the image reconstruction algorithm was accelerated. Finally, the simultaneous and first-time use of LED and FPGA-based circuit technology for driving the LED, output information processing and image reconstruction were performed in PA imaging.
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spelling doaj-art-e6ba8e7c60794642bb34ae02a55b82052025-08-20T03:19:08ZengInstitute of Fundamental Technological Research Polish Academy of SciencesArchives of Acoustics0137-50752300-262X2025-01-0150110.24425/aoa.2024.148820Implementation of a Cost-Effective, Accurate Photoacoustic Imaging System Based on High-Power LED Illumination and FPGA-Based CircuitryMaryam AHANGAR DARBAND0Esmaeil NAJAFIAGHDAM1Department of Electrical Engineering, Sahand University of TechnologyDepartment of Electrical Engineering, Sahand University of TechnologyImaging based on the photoacoustic (PA) phenomenon is a type of hybrid imaging approach that combines the advantages of pure optical and pure acoustic imaging, achieving good results. This method, which offers high resolution, suitable contrast, and non-ionizing radiation, is valuable for the early detection of various types of cancer. Recently, multiple studies have focused on improving different components of this imaging system. In this presentation, we implemented a simplest form of a PA imaging system for detecting blood vessels, given that angiogenesis is recognized as a common symptom of many cancers. For the first time, we implemented a high-power light-emitting diode (LED), to replace bulky and expensive lasers, and integrated circuit technologies such as field-programmable gate arrays (FPGAs) for a simple LED driver circuit and data acquisition (DAQ). Using an FPGA block, we successfully generated a 200-ns square pulse wave with a repetition frequency of 25 kHz, whose amplified form can drive a high-power LED at 1050 nm for appropriately stimulating the sample. By using ultrasonic sensors with a central frequency of 1 MHz and a DAQ system with 16-bit accuracy, along with a suitable algorithm for image reconstruction, we successfully detected blood vessels in a breast tissue mimic. With the use of the FPGA-based block, the image reconstruction algorithm was accelerated. Finally, the simultaneous and first-time use of LED and FPGA-based circuit technology for driving the LED, output information processing and image reconstruction were performed in PA imaging.https://acoustics.ippt.pan.pl/index.php/aa/article/view/3977photoacoustic imaging (PAI)light emitting diode (LED)pulsed lightbreast tumorfieldprogrammable gate array (FPGA)
spellingShingle Maryam AHANGAR DARBAND
Esmaeil NAJAFIAGHDAM
Implementation of a Cost-Effective, Accurate Photoacoustic Imaging System Based on High-Power LED Illumination and FPGA-Based Circuitry
Archives of Acoustics
photoacoustic imaging (PAI)
light emitting diode (LED)
pulsed light
breast tumor
fieldprogrammable gate array (FPGA)
title Implementation of a Cost-Effective, Accurate Photoacoustic Imaging System Based on High-Power LED Illumination and FPGA-Based Circuitry
title_full Implementation of a Cost-Effective, Accurate Photoacoustic Imaging System Based on High-Power LED Illumination and FPGA-Based Circuitry
title_fullStr Implementation of a Cost-Effective, Accurate Photoacoustic Imaging System Based on High-Power LED Illumination and FPGA-Based Circuitry
title_full_unstemmed Implementation of a Cost-Effective, Accurate Photoacoustic Imaging System Based on High-Power LED Illumination and FPGA-Based Circuitry
title_short Implementation of a Cost-Effective, Accurate Photoacoustic Imaging System Based on High-Power LED Illumination and FPGA-Based Circuitry
title_sort implementation of a cost effective accurate photoacoustic imaging system based on high power led illumination and fpga based circuitry
topic photoacoustic imaging (PAI)
light emitting diode (LED)
pulsed light
breast tumor
fieldprogrammable gate array (FPGA)
url https://acoustics.ippt.pan.pl/index.php/aa/article/view/3977
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