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Co-optimization method to improve lateral resolution in photoacoustic computed tomography

In biomedical imaging, photoacoustic computed tomography (PACT) has recently gained increased interest as this imaging technique has good optical contrast and depth of acoustic penetration. However, a spinning blur will be introduced during the image reconstruction process due to the limited size of...

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Detalles Bibliográficos
Autores principales: Zhang, Yang, Yang, Shufan, Xia, Zhiying, Hou, Ruijie, Xu, Bin, Hou, Lianping, Marsh, John H., Hou, Jamie Jiangmin, Sani, Seyed Mojtaba Rezaei, Liu, Xuefeng, Xiong, Jichuan
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Optica Publishing Group 2022
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9484412/
https://www.ncbi.nlm.nih.gov/pubmed/36187257
http://dx.doi.org/10.1364/BOE.469744
Descripción
Sumario:In biomedical imaging, photoacoustic computed tomography (PACT) has recently gained increased interest as this imaging technique has good optical contrast and depth of acoustic penetration. However, a spinning blur will be introduced during the image reconstruction process due to the limited size of the ultrasonic transducers (UT) and a discontinuous measurement process. In this study, a damping UT and adaptive back-projection co-optimization (CODA) method is developed to improve the lateral spatial resolution of PACT. In our PACT system, a damping aperture UT controls the size of the receiving area, which suppresses image blur at the signal acquisition stage. Then, an innovative adaptive back-projection algorithm is developed, which corrects the undesirable artifacts. The proposed method was evaluated using agar phantom and ex-vivo experiments. The results show that the CODA method can effectively compensate for the spinning blur and eliminate unwanted artifacts in PACT. The proposed method can significantly improve the lateral spatial resolution and image quality of reconstructed images, making it more appealing for wider clinical applications of PACT as a novel, cost-effective modality.