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Journal article
High spatial resolution identification of hematoma in inhomogeneous head phantom using broadband fNIR system
Biomedical engineering online, v 17(1), pp 176-176
27 Nov 2018
PMCID: PMC6260698
PMID: 30482252
Featured in Collection : UN Sustainable Development Goals @ Drexel
Abstract
This paper presents a novel method for early detection of hematomas using highly sensitive optical fNIR imaging methods based on broadband photon migration. The NIR experimental measurements of inhomogeneous multi-layer phantoms representing human head are compared to 3D numerical modeling over broadband frequencies of 30–1000 MHz. A finite element method (FEM) simulation of the head phantom are compared to measurements of insertion loss and phase using custom-designed broadband free space optical transmitter (Tx) and receiver (Rx) modules that are developed for photon migration at wavelengths of 670 nm, 795 nm, 850 nm, though results of 670 nm are discussed here. Standard error is used to compute error between 3D FEM modeling and experimental measurements by fitting experimental data to the
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. Error results are shown at narrowband and broadband frequency modulation in order to have confidence in 3D numerical modeling. A novel method is established here to identify presence of hematoma based on first and second derivatives of changes in insertion loss and phase (∆IL and ∆IP), where frequency modulated photons sensitive to different sizes of hematoma is identified for wavelength of 670 nm. The high accuracy of this comparison provides confidence in optical bio-imaging and its eventual application to TBI detection.
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Details
- Title
- High spatial resolution identification of hematoma in inhomogeneous head phantom using broadband fNIR system
- Creators
- E. Sultan - Public Authority for Applied Education and TrainingA. H. Gandjbakhche - Eunice Kennedy Shriver National Institute of Child Health and Human DevelopmentK. Pourrezaei - Drexel UniversityA. S. Daryoush - Drexel University
- Publication Details
- Biomedical engineering online, v 17(1), pp 176-176
- Publisher
- BioMed Central
- Resource Type
- Journal article
- Language
- English
- Academic Unit
- Electrical and Computer Engineering; School of Biomedical Engineering, Science, and Health Systems
- Web of Science ID
- WOS:000451397100002
- Scopus ID
- 2-s2.0-85057239707
- Other Identifier
- 991019169152504721
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- Collaboration types
- Domestic collaboration
- International collaboration
- Web of Science research areas
- Engineering, Biomedical