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Phantom-based Evaluation of Near-infrared Intracranial Hematoma Detector Performance

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Journal J Biomed Opt
Date 2019 Apr 17
PMID 30989838
Citations 4
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Abstract

Near-infrared spectroscopy (NIRS) is emerging as a rapid, low-cost approach for point-of-care triage of hematomas resulting from traumatic brain injury. However, there remains a lack of standardized test methods for benchtop performance assessment of these devices and incomplete understanding of relevant light-tissue interactions. We propose a phantom-based test method for systems operating near the 800-nm oxy-/deoxy-hemoglobin isosbestic point and implement it to evaluate a clinical system. Semi-idealized phantom geometries are designed to represent epidural/subdural, subarachnoid, and intracerebral hemorrhages. Measurements of these phantoms are made with a commercial NIRS-based hematoma detector to quantify the effect of hematoma type, depth, and size, as well as measurement repeatability and detector positioning relative to the hematoma. Results indicated high sensitivity to epidural/subdural and subarachnoid hematomas. Intracerebral hematomas are detectable to a maximum depth of ∼2.5  cm, depending on thickness and diameter. The maximum lateral detection area for the single-emitter/single-collector device studied here appears elliptical and decreases strongly with inclusion depth. Overall, this study provides unique insights into hematoma detector function and indicates the utility of modular polymer tissue phantoms in performance tests for emerging NIRS-based cerebral diagnostic technology.

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References
1.
Francis S, Ravindran G, Visvanathan K, Ganapathy K . Screening for unilateral intracranial abnormalities using near infrared spectroscopy: a preliminary report. J Clin Neurosci. 2005; 12(3):291-5. DOI: 10.1016/j.jocn.2004.06.009. View

2.
Riley J, Amyot F, Pohida T, Pursley R, Ardeshirpour Y, Kainerstorfer J . A hematoma detector-a practical application of instrumental motion as signal in near infra-red imaging. Biomed Opt Express. 2012; 3(1):192-205. PMC: 3255337. DOI: 10.1364/BOE.3.000192. View

3.
Robertson C, Gopinath S, Chance B . A new application for near-infrared spectroscopy: detection of delayed intracranial hematomas after head injury. J Neurotrauma. 1995; 12(4):591-600. DOI: 10.1089/neu.1995.12.591. View

4.
Boers A, Zijlstra I, Gathier C, van den Berg R, Slump C, Marquering H . Automatic quantification of subarachnoid hemorrhage on noncontrast CT. AJNR Am J Neuroradiol. 2014; 35(12):2279-86. PMC: 7965299. DOI: 10.3174/ajnr.A4042. View

5.
Moffitt T, Chen Y, Prahl S . Preparation and characterization of polyurethane optical phantoms. J Biomed Opt. 2006; 11(4):041103. DOI: 10.1117/1.2240972. View