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Cited by 244

The DOI matches its Crossref record; 1 of the 1 references it cites were found in a registry or an index.

Programmable Real-time Clinical Photoacoustic and Ultrasound Imaging System

Open access
Kim, Jeesu, Park, Sara, Jung, Yuhan, Chang, Sunyeob, Park, Jinyong, Zhang, Yumiao, Lovell, Jonathan F., Kim, Chulhong·2016·Scientific Reports

Abstract

Photoacoustic imaging has attracted interest for its capacity to capture functional spectral information with high spatial and temporal resolution in biological tissues. Several photoacoustic imaging systems have been commercialized recently, but they are variously limited by non-clinically relevant designs, immobility, single anatomical utility (e.g., breast only), or non-programmable interfaces. Here, we present a real-time clinical photoacoustic and ultrasound imaging system which consists of an FDA-approved clinical ultrasound system integrated with a portable laser. The system is completely programmable, has an intuitive user interface, and can be adapted for different applications by switching handheld imaging probes with various transducer types. The customizable photoacoustic and ultrasound imaging system is intended to meet the diverse needs of medical researchers performing both clinical and preclinical photoacoustic studies.

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Crossref · 10.1038/srep35137

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Metadata

Authors
Kim, J., Park, S., Jung, Y., Chang, S., Park, J., Zhang, Y., Lovell, J. F., & Kim, C.
Venue
Scientific Reports
Published
2016-10-12
Volume
6
Issue
1
Pages
35137-35137
ISSN
2045-2322 (ISSN-L)
OpenAlex
W2530096782
Cited by
244
References
1
FWCI
13.68
Type
journal article
Language
en
Open access
gold

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CoChat. (2026). Citation check: Programmable Real-time Clinical Photoacoustic and Ultrasound Imaging System. https://app.cochat.ai/papers/10.1038/srep35137
The paper
Kim, J., Park, S., Jung, Y., Chang, S., Park, J., Zhang, Y., Lovell, J. F., & Kim, C. (2016). Programmable Real-time Clinical Photoacoustic and Ultrasound Imaging System. Scientific Reports. https://doi.org/10.1038/srep35137

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Contains information from the Semantic Scholar Academic Graph Datasets, made available under the ODC Attribution License (ODC-BY 1.0).

Semantic Scholar’s data is described in: Kinney, R., et al. (2023). The Semantic Scholar Open Data Platform. arXiv:2301.10140.