Photoacoustic/Ultrasound Endoscopic Imaging Reconstruction Algorithm Based on the Approximate Gaussian Acoustic Field

Abstract

This paper aims to propose a new photoacoustic/ultrasound endoscopic imaging reconstruction algorithm based on the approximate Gaussian acoustic field which significantly improves the resolution and signal-to-noise ratio (SNR) of the out-of-focus region. We demonstrated the method by numerical calculations and investigated the applicability of the algorithm in a chicken breast phantom. The validation was finally performed by the rabbit rectal endoscopy experiment. Simulation results show that the lateral resolution of the target point in the out-of-focus region can be well optimized with this new algorithm. Phantom experimental results show that the lateral resolution of the indocyanine green (ICG) tube in the photoacoustic image is reduced from 3.975 mm to 1.857 mm by using our new algorithm, which is a 52.3% improvement. Ultrasound images also show a significant improvement in lateral resolution. The results of the rabbit rectal endoscopy experiment prove that the algorithm we proposed is capable of providing higher-quality photoacoustic/ultrasound images. In conclusion, the algorithm enables fast acoustic resolution photoacoustic/ ultrasonic dynamic focusing and effectively improves the imaging quality of the system, which has significant guidance for the design of acoustic resolution photoacoustic/ultrasound endoscopy systems.

Reconstructing the Photoacoustic Image with High Quality using the Deep Neural Network Model

“…The findings of the rabbit rectal endoscopy test demonstrate the superior PA/US image resolution of the method suggested. As a result, the algorithm substantially enhances the image usability of the system and allows quick acoustic resolutions PA/ultrasonic dynamic focusing, providing important direction for the construction of acoustic resolutions PA/US endoscopic technologies [12].…”

Clinical photoacoustic/ultrasound dual-modal imaging: Current status and future trends

“…2) An advanced PAT/US imaging reconstruction algorithm need to be further proposed based on the previous studies (Jiang, 2015;Wang et al, 2022) to improve lateral resolution of hybrid image, as well as temporal resolution aiming to simultaneously displaying structural, functional, and molecular information;…”

“…Future work of this hybrid system may include: 1) Real-time 3D reconstruction technology would be a good future for advanced PAT/US system, which can produce a stereo vision of lesions for radiologists and clinicians. Thus, PAT/US imaging systems with 3D imaging require new methods and materials for systematic testing which can help in decision-making during clinical translation; Furthermore, 3D printed biomodel for simulation of anatomic angioarchitecture of lesions will facilitate surgeon to develop and evaluate a surgical protocol; 2) An advanced PAT/US imaging reconstruction algorithm need to be further proposed based on the previous studies ( Jiang, 2015 ; Wang et al, 2022 ) to improve lateral resolution of hybrid image, as well as temporal resolution aiming to simultaneously displaying structural, functional, and molecular information; 3) The miniaturization of a PAT/US dual-modal system with significant improvements in the performance of portable laser pump sources, high performance DAQ computers and handhold transducer with smaller size and lighter weight; In next, POC would refer to PAT/US examination outside the lab, such as bedside care, in emergency departments, surgery monitoring or ambulant first aid. It will be a widely used tool for imaging and therefore reducing the time in clinical decision making, emergency and medical education in the coming future.…”

Line Illumination in Linear Array Photoacoustic Imaging Using a Powell Lens: A Proof-of-Concept Study

“…The amplitude of the initial pressure generated is related to the degree of thermal expansion encountered [1]. Subsequently, these waves will be captured by the ultrasound transducers, and various image reconstruction algorithms will be applied to reconstruct the photoacoustic image [2][3][4][5][6][7]. PAI has shown promise in many preclinical and clinical applications [8][9][10][11][12][13][14][15].…”