Dr. Inema E. Orukari Profile

Dr. Inema E. Orukari

Chief Scientific Officer at DigPath Inc

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Publications (6)

Proceedings Article | 17 March 2023 Presentation

Crucial considerations in designing a fiber-based speckle contrast optical tomography for neuroimaging in humans

Chen-Hao Lin, Inema Orukari, Lisa Kobayashi Frisk, Manish Verma, Sumana Chetia, Adam Eggebrecht, Turgut Durduran, Joseph Culver, Jason Trobaugh

Proceedings Volume PC12365, PC1236504 (2023) https://doi.org/10.1117/12.2650680

KEYWORDS: Speckle, Optical tomography, Signal to noise ratio, Neuroimaging, Head, Computer simulations, Spectroscopy, Positron emission tomography, Performance modeling, Optical imaging

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Proceedings Article | 7 March 2022 Presentation

Investigation of speckle contrast optical tomography performance for imaging cerebral blood flow in a human head

Chen-Hao Lin, Inema Orukari, Lisa Kobayashi Frisk, Manish Verma, Sumana Chetia, Adam Eggebrecht, Turgut Durduran, Joseph Culver, Jason Trobaugh

Proceedings Volume PC11945, PC1194502 (2022) https://doi.org/10.1117/12.2610101

KEYWORDS: Head, Speckle, Signal to noise ratio, Optical tomography, Cerebral blood flow, Performance modeling, Positron emission tomography, Distance measurement, Tomography, Signal attenuation

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Proceedings Article | 5 March 2021 Presentation

The feasibility of multi-mode fiber based speckle contrast optical spectroscopy

Chen-Hao Lin, Inema Orukari, Christopher Tracy, Manish Verma, Lisa Kobayashi Frisk, Sumana Chetia, Jason Trobaugh, Turgut Durduran, Joseph Culver

Proceedings Volume 11641, 116410M (2021) https://doi.org/10.1117/12.2578523

KEYWORDS: Multimode fibers, Speckle, Optical spectroscopy, Interference (communication), Speckle pattern, Silicon, Fluid dynamics

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Proceedings Article | 5 March 2021 Presentation

Simulation study of speckle contrast optical tomography performance using an anatomical head model

Inema Orukari, Chen-Hao Lin, Lisa Kobayashi Frisk, Manish Verma, Sumana Chetia, Adam Eggebrecht, Turgut Durduran, Joseph Culver, Jason Trobaugh

Proceedings Volume 11629, 116290W (2021) https://doi.org/10.1117/12.2578493

KEYWORDS: Performance modeling, Head, Speckle, Optical tomography, Distance measurement, Signal to noise ratio, Instrument modeling, Device simulation, Time metrology, Spectroscopes

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Proceedings Article | 9 March 2020 Presentation

Functional connectivity predicts behavior deficit in a mouse model of brain tumor growth (Conference Presentation)

Inema Orukari, Nicole Warrington, Adam Bauer, Joshua Rubin, Joseph Culver

Proceedings Volume 11225, 1122506 (2020) https://doi.org/10.1117/12.2556218

KEYWORDS: Tumors, Brain, Mouse models, Magnetic resonance imaging, Neuroimaging, Modulation, Nervous system, Human subjects, Optical imaging, Sensors

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Tumors in the central nervous system (CNS) can produce significant behavior deficits. These deficits significantly reduce the quality of life of long-term brain tumor survivors. Motor deficits can be the main presenting symptoms that brings a brain tumor patient into the hospital. Additionally, motor deficits can either improve or worsen after treatment. Its poorly understood how tumor phenotype (e.g infiltrative or circumscribed) contributes to the development and evolution of motor deficits. Resting state functional connectivity magnetic resonance imaging (rsfc-MRI) could help determine a relationship between brain function and tumor phenotype. rsfc-MRI provides measurements of functional connectivity (FC), which is a measure of brain activity and has been shown to correlate with neurological function (e.g. cognitive and motor deficit) in many disease states. Additional studies are needed before rsfc-MRI can be included in the standard of care for brain tumor patients because it is largely unknown how important clinical factors, such as tumor location and tumor burden (e.g. tumor volume), modulate the association between FC measurements and neurological performance. However, human studies are unlikely to have the statistical power to determine the relationships between FC, clinical factors, and neurological function because it is difficult to enroll many human subjects while controlling for a factor. Fortunately, mice can be used to control for a factor in many genetically identical specimens. Therefore, FC assessments need to be applied to studies in mouse models of brain tumors to assess the interactions be specific clinical factors, FC measurements and neurological function. FC measurements are infrequently obtained in mouse models because it is technically difficult to perform rsfc-MRI on the small mouse brain. Fortunately, functional connectivity optical intrinsic signal imaging (fcOISI) can be used obtain FC measurements in mice. In this study, we investigated how tumor phenotype modulates the relationship between tumor burden measures and motor function. We injected in two groups of mice with human brain tumor cell lines that exhibit different growth phenotypes. We assessed the motor function of the mice by their performance on a battery of sensorimotor tests. We determined tumor burden with bioluminescence and MRI and assessed FC with fcOISI. Lastly, we performed linear regression analysis to determine how these measured factors interact in the prediction of performance on the motor tests.

Proceedings Article | 19 April 2017 Presentation

An optical assessment of the effects of glioma growth on resting state networks in mice (Conference Presentation)

Inema Orukari, Adam Bauer, Grant Baxter, Joshua Rubin, Joseph Culver

Proceedings Volume 10051, 100510P (2017) https://doi.org/10.1117/12.2252817

KEYWORDS: Tumors, Current controlled current source, Brain, Optical imaging, Mouse models, Somatosensory cortex, Magnetic resonance imaging, Bioluminescence

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