Open AccessHead model based on the shape of the subject’s head for optical brain imaging
Author(s) -
Sadreddin Mahmoodkalayeh,
Mohammad Ali Ansari,
Valery V. Tuchin
Publication year - 2019
Publication title -
biomedical optics express
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 1.362
H-Index - 86
ISSN - 2156-7085
DOI - 10.1364/boe.10.002795
Subject(s) - diffuse optical imaging , head (geology) , human head , optics , computer science , monte carlo method , slab , medical imaging , artificial intelligence , detector , inverse problem , absorption (acoustics) , computer vision , physics , iterative reconstruction , mathematics , geology , mathematical analysis , statistics , geomorphology , geophysics
Optical imaging methods such as near-infrared spectroscopy and diffuse optical tomography rely on models to solve the inverse problem. Imaging an adult human head also requires a head model. Using a model, which makes describing the structure of the head better, leads to acquiring a more accurate absorption map. Here, by combining the key features of layered slab models and head atlases, we introduce a new two-layered head model that is based on the surface geometry of the subject's head with variable thickness of the superficial layer. Using the Monte Carlo approach, we assess the performance of our model for fitting the optical properties from simulated time-resolved data of the adult head in a null distance source-detector configuration. Using our model, we observed improved results at 70 percent of the locations on the head and an overall 20 percent reduction in relative error compared to layered slab model.