Evaluation of rigid registration methods for whole head imaging in diffuse optical tomography

Abstract

Abstract. Functional brain imaging has become an important neuroimaging technique for the study of brain organization and development. Compared to other imaging techniques, diffuse optical tomography (DOT) is a portable and low-cost technique that can be applied to infants and hospitalized patients using an atlasbased light model. For DOT imaging, the accuracy of the forward model has a direct effect on the resulting recovered brain function within a field of view and so the accuracy of the spatially normalized atlas-based forward models must be evaluated. Herein, the accuracy of atlas-based DOT is evaluated on models that are spatially normalized via a number of different rigid registration methods on 24 subjects. A multileveled approach is developed to evaluate the correlation of the geometrical and sensitivity accuracies across the full field of view as well as within specific functional subregions. Results demonstrate that different registration methods are optimal for recovery of different sets of functional brain regions. However, the "nearest point to point" registration method, based on the EEG 19 landmark system, is shown to be the most appropriate registration method for image quality throughout the field of view of the high-density cap that covers the whole of the optically accessible cortex.

Joint Attention During Live Person-to-Person Contact Activates rTPJ, Including a Sub-Component Associated With Spontaneous Eye-to-Eye Contact

“…Coherence analyses were performed on the deoxyhemoglobin signals rather than the oxyhemoglobin or combined signals due to the increased sensitivity of the oxyhemoglobin to systemic signal components (Franceschini et al, 2004;Huppert et al, 2006;Kirilina et al, 2012;Tachtsidis and Scholkmann, 2016;Zhang et al, 2016) which affect residual signals used in the analysis.…”

High-density functional diffuse optical tomography based on frequency-domain measurements improves image quality and spatial resolution

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Detector location selection based on VIP analysis in near-infrared detection of dural hematoma

“…If a reasonable VIP threshold is set for selecting high VIP-value independent variables and excluding low-valued independent variables, the accuracy of the model would not be affected much but the complexity of the model would be greatly reduced. This will a have great impact on the system speed, ease of use and cost (Wu et al, 2015).…”

“…Due to the high absorption of 650–900 nm near-infrared light by the hemoglobin molecules within the tissue, the optical properties of the brain tissue tested can be obtained by analyzing the emitting light, so that rapid and non-invasive detection of dural hematoma can be achieved (Wu et al, 2015, Gao et al, 2017). Near-infrared spectroscopy technology has been widely used in clinical applications such as functional neuroimaging (Nourhashemi et al, 2016), brain tumor imaging (Kim et al, 2016, Yildirim et al, 2017), cerebral blood flow measurement (Kato et al, 2015), and brain hematoma detection (Braun et al, 2015).…”