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Updated: Apr 14, 2026

Non-invasive Parenchymal, Vascular and Metabolic High-frequency Ultrasound and Photoacoustic Rat Deep Brain Imaging
Published on: March 2, 2015
Advances in Photoacoustic Imaging for Brain Diseases: Principles, Applications, and Clinical Translation Challenges
Xixi Hu1, Haoyang Chang1, Shihan Xu1
1Jiangsu Collaborative Innovation Center of Biomedical Functional Materials, School of Chemistry and Materials Science, Nanjing Normal University, Nanjing, P. R. China.
Photoacoustic imaging (PAI) offers advanced, high-resolution visualization of the brain, overcoming limitations of current methods. This review explores PAI
Area of Science:
- Neuroimaging
- Biomedical Optics
- Medical Physics
Background:
- Increasing prevalence of brain diseases necessitates advanced imaging solutions.
- Existing brain imaging techniques face limitations in resolution, penetration, and biocompatibility.
- Photoacoustic imaging (PAI) offers a unique combination of scalable resolution, deep penetration, and non-ionizing excitation for multiscale brain visualization.
Purpose of the Study:
- To systematically review the principles, contrast agents, and system components of PAI.
- To comparatively analyze major PAI modalities: optical-resolution and acoustic-resolution photoacoustic microscopy (OR-PAM/AR-PAM), photoacoustic computed tomography (PACT), and photoacoustic endoscopy (PAE).
- To highlight PAI's application in various brain diseases and discuss challenges and strategies for clinical translation.
Main Methods:
- Systematic review of fundamental PAI principles and technologies.
- Comparative analysis of OR-/AR-PAM, PACT, and PAE based on penetration depth, resolution, and field of view.
- Literature synthesis on PAI applications in glioblastoma, neurodegenerative disorders, traumatic brain injury, and cerebrovascular diseases.
Main Results:
- PACT provides superior penetration depth and field of view for whole-brain imaging.
- OR-/AR-PAM offer higher spatial resolution for subcellular and molecular-scale imaging.
- PAI enables integrated structural and functional imaging across multiple brain diseases.
Conclusions:
- PAI is a versatile multiscale imaging technology with significant advantages for brain imaging.
- Key challenges for clinical translation include motion artifacts, blood-brain barrier crossing, contrast agent approval, and technical limitations.
- Addressing these challenges through strategic approaches will facilitate the clinical adoption of PAI for brain disease diagnosis and management.
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