12 March 2018 Intensified CCD camera based fNIRS-DOT imaging system for whole functional brain mapping in children
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Abstract
Although fMRI technique can be used to scan the whole brain to investigate the brain functional activities in children by using the blood oxygenation level dependent (BOLD) MRI signal, patients often require sedation, which prevents investigation of brain function during the actual disordered movements. Functional near infrared spectroscopy and diffuse optical tomography (fNIRS-DOT) allows a similar assessment to the BOLD MRI signal. However, in a realistic situation there will be a skull, blood vessels, cerebrospinal fluid and a significant variation of distance of the deep hemovascular target from the tissue surface. Transmitted diffuse near-infrared (NIR) light is significantly scattered and attenuated, making it difficult to be detected with sufficient signal-to-noise ratio (SNR) using conventional detectors such as avalanche photodiodes or photomultiplier tubes. In this study, we present an fNIRS-DOT imaging system by use of military based intensification with charge-coupled device (CCD) technology to acquire the transmitted weak diffuse NIR signals with high sensitivity that allows whole brain imaging and the device can be mounted in a comfortable cap on an awake child. The millimeter level spatial resolution of transillumination tomographic reconstructions was demonstrated in studies of phantoms that approximate the size of a child’s brain. In addition, we have been able to obtain preliminary transcranial proof-of-concept data with the reasonable SNR in a 7 month old healthy baby. Further tomographic studies will allow the assessment of the brain network dysfunction in awake children suffering from brain diseases such as brain tumor.
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Banghe Zhu, Banghe Zhu, Eva M. Sevick, Eva M. Sevick, Manish N. Shah, Manish N. Shah, } "Intensified CCD camera based fNIRS-DOT imaging system for whole functional brain mapping in children ", Proc. SPIE 10578, Medical Imaging 2018: Biomedical Applications in Molecular, Structural, and Functional Imaging, 105782B (12 March 2018); doi: 10.1117/12.2293516; https://doi.org/10.1117/12.2293516
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