Intracerebral quantitative chromophore estimation from reflectance spectra captured during deep brain stimulation implantation

Johansson, Johannes; Wårdell, Karin

doi:10.1002/jbio.201200055

Cited by 18 publications

(27 citation statements)

References 37 publications

(29 reference statements)

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“…The absorption due to hemoglobin in the brain tissue is dependent on cerebral blood volume[54] and was calculated based on the volume fraction of the blood in the cerebral tissue, hemoglobin oxygen saturation of mixed arterio-venous vasculature, and the absorption coefficient of pure oxy and deoxyhemoglobin [55]. The molar concentration of oxidized and reduced CCO (in mM) were first obtained for the gray and white matter[56]. The absorption coefficient of 1mM of CCO was obtained [2] based on which the tissue absorption coefficient due to oxidized and reduced CCO was calculated.…”

Section: Methodsmentioning

confidence: 99%

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Computational modeling of the photon transport, tissue heating, and cytochrome C oxidase absorption during transcranial near-infrared stimulation

Bhattacharya

Dutta

2019

Preprint

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Transcranial near-infrared stimulation (tNIRS) has been proposed as a tool to modulate 1 cortical excitability. However, the underlying mechanisms are not clear where the heating effects on 2 the brain tissue needs investigation due to increased near-infrared (NIR) absorption by water and fat. 3Moreover, the risk of localized heating of tissues (including the skin) during optical stimulation of 4 the brain tissue is a concern. The challenge in estimating localized tissue heating is due to the light 5 interaction with the tissues' constituents, which is dependent on the combination ratio of the scattering 6 and absorption properties of the constituent. Here, apart from tissue heating that can modulate the 7 cortical excitability ("photothermal effects"); the other mechanism reported in the literature is the 8 stimulation of the mitochondria in the cells which are active in the adenosine triphosphate (ATP) 9 synthesis. In the mitochondrial respiratory chain, the complex IV, also named as the cytochrome c 10 oxidase(CCO), is the unit four with three copper atoms. The absorption peaks of CCO are in the visible 11 (420-450nm and 600-700nm) and the near-infrared (760-980nm) spectral region which have been 12 shown to be promising for low level light therapy (LLLT), also known as "photobiomodulation". While 13 much higher CCO absorption peaks in the visible spectrum can be used for the photobiomodulation 14 of the skin, 810nm has been proposed for the non-invasive brain stimulation (using tNIRS) due to the 15 optical window in the NIR spectral region. In this article, we applied a computational approach to 16 delineate the "photothermal effects" from the "photobiomodulation," i.e., to estimate the amount of 17 light absorbed individually by each chromophore in the brain tissue (with constant scattering) and the 18 related tissue heating. Photon migration simulations were performed for motor cortex tNIRS based 19 on a prior work that used a 500mW cm −2 light source placed on the scalp. We simulated photon 20 migration at 630nm and 700nm (red spectral region) and 810nm (near-infrared spectral region). We 21 found a temperature increase in the scalp below 0.25°C and a minimal temperature increase in the 22 gray matter less than 0.04°C at 810nm. Similar heating was found for 630nm and 700nm used for 23 LLLT, so photothermal effects are postulated to be unlikely in the brain tissue. 24

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Section: Methodsmentioning

confidence: 99%

“…The optical properties of the tissues in the head model vary significantly based on prior works. We selected a set of optical parameters from review literature[39][56][49]. We did not consider chromophores in the skin such as melanin, lipofuscin.…”

Section: Systematic Model Errorsmentioning

confidence: 99%

Computational modeling of the photon transport, tissue heating, and cytochrome C oxidase absorption during transcranial near-infrared stimulation

Bhattacharya

Dutta

2019

Preprint

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“…Such a procedure is often adopted in deep brain stimulation [42] and epilepsy surgery [43], where recording microelectrodes are implanted into deep brain structures. Fiber-based endoscopic imaging modalities, including optical coherence tomography [9], optical diffuse reflectance spectroscopy [44] and others, have been developed to guide the implantation. The guidance is realized by identifying tissue type in the vicinity of the electrode for localization, and most crucially by visualizing tissue ahead of the electrode to avoid penetrating any critical structures such as major vessels.…”

Section: Methodology and Limitationsmentioning

confidence: 99%

Qualitative and quantitative evaluation of in vivo SD-OCT measurement of rat brain

Xie¹,

Harsan²,

Bienert³

et al. 2017

Biomed. Opt. Express

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OCT has been demonstrated as an efficient imaging modality in various biomedical and clinical applications. However, there is a missing link with respect to the source of contrast between OCT and other modern imaging modalities, no quantitative comparison has been demonstrated between them, yet. We evaluated, to our knowledge, for the first time OCT measurement of rat brain with our previously proposed forward imaging method by both qualitatively and quantitatively correlating OCT with the corresponding T1-weighted and T2-weighted magnetic resonance images, fiber density map (FDM), and two types of histology staining (cresyl violet and acetylcholinesterase AchE), respectively. Brain anatomical structures were identified and compared across OCT, MRI and histology imaging modalities. Noticeable resemblances corresponding to certain anatomical structures were found between OCT and other image profiles. Correlation was quantitatively assessed by estimating correlation coefficient (R) and mutual information (MI). Results show that the 1-D OCT measurements in regards to the intensity profile and estimated attenuation factor, do not have profound linear correlation with the other image modalities suggested from correlation coefficient estimation. However, findings in mutual information analysis demonstrate that there are markedly high MI values in OCT-MRI signals.

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“…7(c). (49) With the help of the oxygenated hemoglobin (HbO 2 ) and deoxygenated hemoglobin (Hb) spectra from brain tissue, an estimation of the oxygen saturation (SO 2 ) can be achieved by curve fitting to known absorption spectra. The present work in the Linköping group focuses on improving the oxygen saturation algorithm for in vivo on line recording in brain tissue (50) in relation to, for example, traumatic brain injury in the neuro-intensive care unit, and thus also adaptation and implementation of the methods for monitoring of both microcirculation (12) and tissue oxygenation during brain surgery.…”

Section: Drs As a Navigational Tool During Stereotactic Neurosurgerymentioning

confidence: 99%

Optical Monitoring Techniques for Navigation during Stereotactic Neurosurgery

2016

Sensors and Materials

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Optical techniques are becoming increasingly important in healthcare, as both therapeutic and diagnostic tools. In neurosurgery, photonic technologies such as the microscope have already found widespread use. The overall aim of this paper is to give an overview of optical monitoring methods and their implementation and use in stereotactic and functional neurosurgery. The development steps presented in this paper range from radiofrequency-lesion size estimation using optics to a system adapted for neurosurgical intraoperative navigation during stereotactic deep brain stimulation (DBS) lead implantations. The two main optical methods implemented as intraoperative guidance tools are laser Doppler flowmetry and diffuse reflectance spectroscopy. By combining these fundamental methods with probe designs adapted to stereotactic systems, vessels can be tracked and "bar-codes" of tissue type along pre-defined trajectories used for DBS implantations identified. Examples of the optical methods used in relation to stereotactic DBS implantations are given.

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Intracerebral quantitative chromophore estimation from reflectance spectra captured during deep brain stimulation implantation

Cited by 18 publications

References 37 publications

Computational modeling of the photon transport, tissue heating, and cytochrome C oxidase absorption during transcranial near-infrared stimulation

Computational modeling of the photon transport, tissue heating, and cytochrome C oxidase absorption during transcranial near-infrared stimulation

Qualitative and quantitative evaluation of in vivo SD-OCT measurement of rat brain

Optical Monitoring Techniques for Navigation during Stereotactic Neurosurgery

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