Diffuse optical tomography (DOT) is a widely used optical method for functional neuroimaging. When a dense grid of optodes is used, DOT can produce functional brain imaging maps that are comparable with fMRI in terms of spatial resolution. However, when the available number of sources and detectors are limited, it is important to understand where to place them to image a region of interest (ROI) with optimal coverage and sensitivity to the brain. Conventionally, the optode configuration is heuristically determined by the experimenter. Recently, a total sensitivity maximizing algorithm was proposed to answer the question as an optimization problem. However, in larger ROIs and complex geometries, optodes tend to crowd over only a small portion of the ROI and have therefore unsatisfactory coverage of the ROI. ArrayDesigner was proposed as an attempt to address these limitations by adding a coverage term, so that the algorithm can balance between sensitivity and coverage of the ROI. In this work, we demonstrate that such modification still may not suffice in certain geometries, and the inherent nature of sensitivity maximization can limit the uniformity of imaging. We propose a resolution- based optimization algorithm Grid Resolution with Optimized Uniformity Placement (GROUP)" that aims to provide high-resolution, uniform DOT imaging. We show simulated data using a realistic head model that GROUP can provide better uniformity of resolution and has the flexibility to tune the focus to voxels of different depths.
|