2024
DOI: 10.3390/app14125161
|View full text |Cite
|
Sign up to set email alerts
|

Deep Learning Realizes Photoacoustic Imaging Artifact Removal

Ruonan He,
Yi Chen,
Yufei Jiang
et al.

Abstract: Photoacoustic imaging integrates the strengths of optics and ultrasound, offering high resolution, depth penetration, and multimodal imaging capabilities. Practical considerations with instrumentation and geometry limit the number of available acoustic sensors and their “view” of the imaging target, which result in image reconstruction artifacts degrading image quality. To address this problem, YOLOv8-Pix2Pix is proposed as a hybrid artifact-removal algorithm, which is advantageous in comprehensively eliminati… Show more

Help me understand this report

Search citation statements

Order By: Relevance

Paper Sections

Select...

Citation Types

0
0
0

Publication Types

Select...

Relationship

0
0

Authors

Journals

citations
Cited by 0 publications
references
References 35 publications
0
0
0
Order By: Relevance

No citations

Set email alert for when this publication receives citations?