Dr. Jiaming Cao Profile

Dr. Jiaming Cao

at Univ of Birmingham

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Author

Publications (4)

SPIE Journal Paper | 25 September 2024 Open Access

Exploring the impact and influence of melanin on frequency-domain near-infrared spectroscopy measurements

Shidhartho Roy, Jingyi Wu, Jiaming Cao, Joel Disu, Sharadhi Bharadwaj, Elizabeth Meinert-Spyker, Pulkit Grover, Jana Kainerstorfer, Sossena Wood

JBO, Vol. 29, Issue S3, S33310, (September 2024) https://doi.org/10.1117/12.10.1117/1.JBO.29.S3.S33310

KEYWORDS: Near infrared spectroscopy, Signal to noise ratio, Skin, Oxygen, Optical properties, Absorption, Statistical analysis, Oxygenation, Photon counting, Optical testing

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SPIE Journal Paper | 13 July 2023 Open Access

Evaluating feasibility of functional near-infrared spectroscopy in dolphins

Alexander Ruesch, Deepshikha Acharya, Eli Bulger, Jiaming Cao, Christopher McKnight, Mercy Manley, Andreas Fahlman, Barbara Shinn-Cunningham, Jana Kainerstorfer

JBO, Vol. 28, Issue 07, 075001, (July 2023) https://doi.org/10.1117/12.10.1117/1.JBO.28.7.075001

KEYWORDS: Brain, Near infrared spectroscopy, Brain tissue, Muscles, Tissues, Animals, Optical properties, Absorption, Animal model studies, Skin

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SignificanceUsing functional near-infrared spectroscopy (fNIRS) in bottlenose dolphins (Tursiops truncatus) could help to understand how echolocating animals perceive their environment and how they focus on specific auditory objects, such as fish, in noisy marine settings.AimTo test the feasibility of near-infrared spectroscopy (NIRS) in medium-sized marine mammals, such as dolphins, we modeled the light propagation with computational tools to determine the wavelengths, optode locations, and separation distances that maximize sensitivity to brain tissue.ApproachUsing frequency-domain NIRS, we measured the absorption and reduced scattering coefficient of dolphin sculp. We assigned muscle, bone, and brain optical properties from the literature and modeled light propagation in a spatially accurate and biologically relevant model of a dolphin head, using finite-element modeling. We assessed tissue sensitivities for a range of wavelengths (600 to 1700 nm), source–detector distances (50 to 120 mm), and animal sizes (juvenile model 25% smaller than adult).ResultsWe found that the wavelengths most suitable for imaging the brain fell into two ranges: 700 to 900 nm and 1100 to 1150 nm. The optimal location for brain sensing positioned the center point between source and detector 30 to 50 mm caudal of the blowhole and at an angle 45 deg to 90 deg lateral off the midsagittal plane. Brain tissue sensitivity comparable to human measurements appears achievable only for smaller animals, such as juvenile bottlenose dolphins or smaller species of cetaceans, such as porpoises, or with source–detector separations ≫100 mm in adult dolphins.ConclusionsBrain measurements in juvenile or subadult dolphins, or smaller dolphin species, may be possible using specialized fNIRS devices that support optode separations of >100 mm. We speculate that many measurement repetitions will be required to overcome hemodynamic signals originating predominantly from the muscle layer above the skull. NIRS measurements of muscle tissue are feasible today with source–detector separations of 50 mm, or even less.

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Proceedings Article | 4 March 2022 Presentation + Paper

Optimized optode placement strategy for diffuse optical tomography

Jiaming Cao, Pulkit Grover, Jana Kainerstorfer

Proceedings Volume 11945, 1194505 (2022) https://doi.org/10.1117/12.2610184

KEYWORDS: Sensors, Brain, Diffuse optical tomography, Head, Image resolution, Optimization (mathematics), Neuroimaging, Computer simulations

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SPIE Journal Paper | 1 January 2021 Open Access

Enhanced spatiotemporal resolution imaging of neuronal activity using joint electroencephalography and diffuse optical tomography

Jiaming Cao, Theodore Huppert, Pulkit Grover, Jana Kainerstorfer

NPh, Vol. 8, Issue 01, 015002, (January 2021) https://doi.org/10.1117/12.10.1117/1.NPh.8.1.015002

KEYWORDS: Electroencephalography, Reconstruction algorithms, Resolution enhancement technologies, Electrodes, Brain, Image resolution, Spatial resolution, Sensors, Hemodynamics, Neurophotonics

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