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二维光声计算机断层成像的挑战与进展:综述。

Challenges and advances in two-dimensional photoacoustic computed tomography: a review.

机构信息

Rice University, Department of Electrical and Computer Engineering, Houston, Texas, United States.

出版信息

J Biomed Opt. 2024 Jul;29(7):070901. doi: 10.1117/1.JBO.29.7.070901. Epub 2024 Jul 12.

Abstract

SIGNIFICANCE

Photoacoustic computed tomography (PACT), a hybrid imaging modality combining optical excitation with acoustic detection, has rapidly emerged as a prominent biomedical imaging technique.

AIM

We review the challenges and advances of PACT, including (1) limited view, (2) anisotropy resolution, (3) spatial aliasing, (4) acoustic heterogeneity (speed of sound mismatch), and (5) fluence correction of spectral unmixing.

APPROACH

We performed a comprehensive literature review to summarize the key challenges in PACT toward practical applications and discuss various solutions.

RESULTS

There is a wide range of contributions from both industry and academic spaces. Various approaches, including emerging deep learning methods, are proposed to improve the performance of PACT further.

CONCLUSIONS

We outline contemporary technologies aimed at tackling the challenges in PACT applications.

摘要

意义

光声计算断层扫描(PACT)是一种将光学激发与声学检测相结合的混合成像模式,已迅速成为一种重要的生物医学成像技术。

目的

我们综述了 PACT 的挑战和进展,包括(1)有限视角,(2)各向异性分辨率,(3)空间混叠,(4)声速失配的声学异质性,以及(5)光谱解混的光通量校正。

方法

我们进行了全面的文献综述,总结了 PACT 在实际应用中面临的关键挑战,并讨论了各种解决方案。

结果

工业界和学术界都有广泛的贡献。各种方法,包括新兴的深度学习方法,被提出以进一步提高 PACT 的性能。

结论

我们概述了旨在解决 PACT 应用中挑战的当代技术。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/91dd/11245175/50b9b2e56335/JBO-029-070901-g001.jpg

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