Development of ex vivo brain hemorrhage phantom for photoacoustic imaging

• Published in: Journal of biophotonics 2023-07, Vol.16 (7), p.e202200313-n/a
• Main Authors: Manwar, Rayyan, Islam, Md. Tarikul, Shoo, Anthony, Pillers, De‐Ann, Avanaki, Kamran
• Format: Article
• Language: English
• Subjects: Animal models; Animals; Anomalies; Brain; Brain - diagnostic imaging; Brain - pathology; brain imaging; Cerebral Hemorrhage - diagnostic imaging; Complexity; Echoencephalography - methods; ex vivo; Hemorrhage; In vivo methods and tests; Intracranial Hemorrhages - diagnostic imaging; Intracranial Hemorrhages - pathology; Lesions; Medical imaging; Neonates; Neuroimaging; photoacoustic; Photoacoustic Techniques; Sheep
• ISSN: 1864-063X; 1864-0648
• DOI: 10.1002/jbio.202200313

Brain hemorrhage, specifically intraventricular hemorrhage (IVH), is considered one of the primary and leading causes of cerebral anomalies in neonates. Several imaging modalities including the most popular, cranial ultrasound, are not capable of detecting early stage IVHs. Photoacoustic imaging (PAI) exhibited great potential for detecting cerebral hemorrhage in studies limited to small animal models, but these models are not comparable to neonatal brain morphology. However, hemorrhage detection in large animal models using PAI is rare due to the complexity and cost of inducing hemorrhage in vivo. Moreover, in vitro studies are unable to represent the physiology and environment of the hemorrhagic lesion. Here, we proposed a pseudo hemorrhage implementation method in the sheep brain that allows us to mimic different hemorrhagic lesions ex vivo without compromising the complexity of cerebral imaging. This approach enables a true evaluation of PAI performance for detecting hemorrhages and can be utilized as a reference to optimize the PAI system for in vivo imaging. Intraventricular hemorrhage (IVH) is considered one of the primary and leading causes of cerebral anomalies in neonates. Here, we proposed a pseudo hemorrhage implementation method in adult sheep brain that allows us to mimic different hemorrhagic lesions ex vivo yet maintaining the complexity of cerebral imaging. This approach enables true evaluation of PAI performance for detecting hemorrhages and can be utilized as a reference to optimize PAI system for in vivo imaging.