Evaluation of a personalized functional near infra‐red optical tomography workflow using maximum entropy on the mean

• Published in: Human brain mapping Vol. 42; no. 15; pp. 4823 - 4843
• Main Authors: Cai, Zhengchen, Uji, Makoto, Aydin, Ümit, Pellegrino, Giovanni, Spilkin, Amanda, Delaire, Édouard, Abdallah, Chifaou, Lina, Jean‐Marc, Grova, Christophe
• Format: Journal Article
• Language: English
• Published: Hoboken, USA John Wiley & Sons, Inc 15.10.2021
• Subjects: Adult; Brain - diagnostic imaging; Brain - physiology; Brain mapping; Brain research; Customization; Data acquisition; Data processing; Deoxygenation; Digitization; Electroencephalography; Entropy; finger tapping; Fluctuations; Functional magnetic resonance imaging; functional magnetic resonance imaging (fMRI); functional near‐infrared spectroscopy (fNIRS); Functional Neuroimaging - standards; Hemodynamics; Hemoglobin; Humans; Image reconstruction; Infrared spectroscopy; Inverse problems; Localization; Magnetic resonance imaging; Magnetic Resonance Imaging - standards; Maximum entropy; maximum entropy on the mean (MEM); Medical imaging; Motor task performance; Near infrared radiation; near infra‐red optical tomography (NIROT); Neuroimaging; Optimization; personalized optimal montage; Spectroscopy, Near-Infrared - standards; Tomography; Tomography, Optical - standards; Workflow; Young Adult; Canada; functional magnetic resonance imaging (fMRI); maximum entropy on the mean (MEM); functional near-infrared spectroscopy (fNIRS); finger tapping; near infra-red optical tomography (NIROT); personalized optimal montage

In the present study, we proposed and evaluated a workflow of personalized near infra‐red optical tomography (NIROT) using functional near‐infrared spectroscopy (fNIRS) for spatiotemporal imaging of cortical hemodynamic fluctuations. The proposed workflow from fNIRS data acquisition to local 3D reco...