Optimization of optode arrangements for diffuse optical tomography: A singular-value analysis

Culver, Joseph P.; Ntziachristos, Vasilis; Holboke, Monica J.; Yodh, Arjun G.

doi:10.1364/ol.26.000701

Cited by 164 publications

(124 citation statements)

References 14 publications

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“…It requires, however, that an instrument allows to measure at several different source detector distances with overlapping light paths and inherently means that the instrument needs a high dynamic range (Boas et al, 2004). Culver et al (2001) simulated the influence of the density of sources and detectors on the image resolution. They found that resolution depends on the SNR of the measurement, the depths of the object and density of sources and detectors.…”

Section: Probe Designmentioning

confidence: 99%

A review on continuous wave functional near-infrared spectroscopy and imaging instrumentation and methodology

Scholkmann¹,

Kleiser²,

Metz³

et al. 2014

NeuroImage

1,531

1,394

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This year marks the 20th anniversary of functional near-infrared spectroscopy and imaging (fNIRS/fNIRI). As the vast majority of commercial instruments developed until now are based on continuous wave technology, the aim of this publication is to review the current state of instrumentation and methodology of continuous wave fNIRI. For this purpose we provide an overview of the commercially available instruments and address instrumental aspects such as light sources, detectors and sensor arrangements. Methodological aspects, algorithms to calculate the concentrations of oxy-and deoxyhemoglobin and approaches for data analysis are also reviewed. From the single-location measurements of the early years, instrumentation has progressed to imaging initially in two dimensions (topography) and then three (tomography). The methods of analysis have also changed tremendously, from the simple modified Beer-Lambert law to sophisticated image reconstruction and data analysis methods used today. Due to these advances, fNIRI has become a modality that is widely used in neuroscience research and several manufacturers provide commercial instrumentation. It seems likely that fNIRI will become a clinical tool in the foreseeable future, which will enable diagnosis in single subjects. This year marks the 20th anniversary of functional near-infrared spectroscopy and imaging (fNIRS/fNIRI). As the vast majority of commercial instruments developed until now are based on continuous wave technology, the aim of this publication is to review the current state of instrumentation and methodology of continuous wave fNIRI. For this purpose we provide an overview of the commercially available instruments and address instrumental aspects such as light sources, detectors and sensor arrangements. Methodological aspects, algorithms to calculate the concentrations of oxy-and deoxyhemoglobin and approaches for data analysis are also reviewed. From the single-location measurements of the early years, instrumentation has progressed to imaging initially in two dimensions (topography) and then three (tomography). The methods of analysis have also changed tremendously, from the simple modified Beer-Lambert law to sophisticated image reconstruction and data analysis methods used today. Due to these advances, fNIRI has become a modality that is widely used in neuroscience research and several manufacturers provide commercial instrumentation. It seems likely that fNIRI will become a clinical tool in the foreseeable future, which will enable diagnosis in single subjects. Contents

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Section: Probe Designmentioning

confidence: 99%

A review on continuous wave functional near-infrared spectroscopy and imaging instrumentation and methodology

Scholkmann¹,

Kleiser²,

Metz³

et al. 2014

NeuroImage

1,531

1,394

View full text Add to dashboard Cite

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“…As diffuse optical imaging measurements on the adult human head typically have sourcedetector separations of 2-4 cm, the head can be considered a semiinfinite medium locally. This simplistic assumption enables an analytic solution of the diffusion equation (Bonner et al, 1987;Haskell et al, 1994;Kienle and Patterson, 1997b) to be used for simulations to test the accuracy and resolution of diffuse optical imaging experiments (Culver et al, 2001;Koizumi et al, 2003). Such simplified simulations are valuable for guiding the optimization of experimental design, which can then be verified with more sophisticated simulations.…”

Section: Diffuse Optical Imaging Forward and Inverse Problem Basicsmentioning

confidence: 99%

Diffuse optical imaging of brain activation: approaches to optimizing image sensitivity, resolution, and accuracy

2004

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Near-infrared spectroscopy (NIRS) and diffuse optical imaging (DOI) are finding widespread application in the study of human brain activation, motivating further application-specific development of the technology. NIRS and DOI offer the potential to quantify changes in deoxyhemoglobin (HbR) and total hemoglobin (HbT) concentration, thus enabling distinction of oxygen consumption and blood flow changes during brain activation. While the techniques implemented presently provide important results for cognition and the neurosciences through their relative measures of HbR and HbT concentrations, there is much to be done to improve sensitivity, accuracy, and resolution. In this paper, we review the advances currently being made and issues to consider for improving optical image quality. These include the optimal selection of wavelengths to minimize random and systematic error propagation in the calculation of the hemoglobin concentrations, the filtering of systemic physiological signal clutter to improve sensitivity to the hemodynamic response to brain activation, the implementation of overlapping measurements to improve image spatial resolution and uniformity, and the utilization of spatial prior information from structural and functional MRI to reduce DOI partial volume error and improve image quantitative accuracy. D 2004 Elsevier Inc. All rights reserved.

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“…[9], 900 data points in Ref. [10]). This can be explained by the high computational complexity of algebraic image reconstruction algorithms which scales as O(N 3 ).…”

Section: Introductionmentioning

confidence: 99%

Multiple projection optical diffusion tomography with plane wave illumination

Markel

Schotland

2005

Phys. Med. Biol.

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Abstract. We describe a new data collection scheme for optical diffusion tomography in which plane wave illumination is combined with multiple projections in the slab imaging geometry. Multiple projection measurements are performed by rotating the slab around the sample. The advantage of the proposed method is that the measured data can be much more easily fitted into the dynamic range of most commonly used detectors. At the same time, multiple projections improve image quality by mutually interchanging the depth and transverse directions, and the scanned (detection) and integrated (illumination) surfaces. Inversion methods are derived for image reconstructions with extremely large data sets. Numerical simulations are performed for fixed and rotated slabs.

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Optimization of optode arrangements for diffuse optical tomography: A singular-value analysis

Cited by 164 publications

References 14 publications

A review on continuous wave functional near-infrared spectroscopy and imaging instrumentation and methodology

A review on continuous wave functional near-infrared spectroscopy and imaging instrumentation and methodology

Diffuse optical imaging of brain activation: approaches to optimizing image sensitivity, resolution, and accuracy

Multiple projection optical diffusion tomography with plane wave illumination

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