Review on ultrasound-guided photoacoustic imaging for complementary analyses of biological systems in vivo

Author:

Lee Haeni1,Choi Wonseok2,Kim Chulhong3ORCID,Park Byullee45,Kim Jeesu1ORCID

Affiliation:

1. Department of Cogno-Mechatronics Engineering and Optics & Mechatronics Engineering, Pusan National University, Busan 46241, Republic of Korea

2. Department of Biomedical Engineering, College of Medicine, The Catholic University of Korea, Seoul 06591, Republic of Korea

3. Department of Electrical Engineering, Convergence IT Engineering, Mechanical Engineering, and Medical Device Innovation Center, Pohang University of Science and Technology, Pohang 37673, Republic of Korea

4. Department of Biophysics, Institute of Quantum Biophysics, Sungkyunkwan University, Suwon 16419, Republic of Korea

5. Caltech Optical Imaging Laboratory, Andrew and Peggy Cherng Department of Medical Engineering, California Institute of Technology, Pasadena, CA 91125, USA

Abstract

Photoacoustic imaging has been developed as a new biomedical molecular imaging modality. Due to its similarity to conventional ultrasound imaging in terms of signal detection and image generation, dual-modal photoacoustic and ultrasound imaging has been applied to visualize physiological and morphological information in biological systems in vivo. By complementing each other, dual-modal photoacoustic and ultrasound imaging showed synergistic advances in photoacoustic imaging with the guidance of ultrasound images. In this review, we introduce our recent progresses in dual-modal photoacoustic and ultrasound imaging systems at various scales of study, from preclinical small animals to clinical humans. A summary of the works reveals various strategies for combining the structural information of ultrasound images with the molecular information of photoacoustic images.

Funder

Technology Innovation Program

Korea Medical Device Development Fund

National Research Foundation of Korea

Korean government

Publisher

Frontiers Media SA

Subject

General Biochemistry, Genetics and Molecular Biology

Cited by 1 articles. 订阅此论文施引文献 订阅此论文施引文献,注册后可以免费订阅5篇论文的施引文献,订阅后可以查看论文全部施引文献

1. Review of Deep Learning Approaches for Interleaved Photoacoustic and Ultrasound (PAUS) Imaging;IEEE Transactions on Ultrasonics, Ferroelectrics, and Frequency Control;2023-12

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