Improving needle visibility in LED-based photoacoustic imaging using deep learning with semi-synthetic datasets

Photoacoustic imaging has shown great potential for guiding minimally invasive procedures by accurate identification of critical tissue targets and invasive medical devices (such as metallic needles). The use of light emitting diodes (LEDs) as the excitation light sources accelerates its clinical tr...

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Detalles Bibliográficos
Autores principales: Shi, Mengjie, Zhao, Tianrui, West, Simeon J., Desjardins, Adrien E., Vercauteren, Tom, Xia, Wenfeng
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Elsevier 2022
Materias:
Research Article
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9048160/
https://www.ncbi.nlm.nih.gov/pubmed/35495095
http://dx.doi.org/10.1016/j.pacs.2022.100351

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9048160/
https://www.ncbi.nlm.nih.gov/pubmed/35495095
http://dx.doi.org/10.1016/j.pacs.2022.100351

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