Poster + Paper
7 April 2023 Development of a dynamic phantom for near infra-red optical and computed tomographic brain imaging
Anthony Donaldson, Diego Andrade, Juan Carlos Rodriguez Luna, Mini Das
Author Affiliations +
Conference Poster
Abstract
Functional near-infrared spectroscopy (fNIRS) is a non-invasive method of imaging brain function, and it is portable and much cheaper than other functional imaging modalities, such as functional MRI. It is beneficial for users to validate their fNIRS systems on a controlled phantom, but for such a phantom to be worthwhile, it must have well-characterized optical properties and be able to simulate the hemodynamic response (HDR). In this paper, we describe a dynamic phantom capable of producing reproducible fNIRS data, and we describe methods for characterizing the optical properties of this phantom. This phantom has already produced fNIRS data with spatially accurate simulated HDR signals. Additionally, we propose modifications for this phantom to produce accurate X-ray and computed tomography (CT) data to make it viable for multimodal imaging systems. CT brain imaging allows high-resolution structural imaging, but with contrast agents some functional information can also be mapped. The combination of CT and fNIRS may be desirable for easily and more accurately estimating differential pathlength factor (DPF) values across a patient’s head, and it may be beneficial for diagnosing and treating patients suffering from head trauma and other neurological conditions.
© (2023) COPYRIGHT Society of Photo-Optical Instrumentation Engineers (SPIE). Downloading of the abstract is permitted for personal use only.
Anthony Donaldson, Diego Andrade, Juan Carlos Rodriguez Luna, and Mini Das "Development of a dynamic phantom for near infra-red optical and computed tomographic brain imaging", Proc. SPIE 12463, Medical Imaging 2023: Physics of Medical Imaging, 124634R (7 April 2023); https://doi.org/10.1117/12.2659081
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KEYWORDS
Optical properties

X-ray computed tomography

X-ray imaging

Hydrogels

Tissues

X-rays

Brain imaging

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