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A new level-set algorithm for the diffuse optical imaging of the brain

We propose a new image reconstruction algorithm for functional near infrared spectroscopic imaging of the brain. Our approach considers the functional changes in the optical properties to be support limited. We simultaneously estimate the values of changes as well as the support from the available measurements. Since this scheme exploits the structure inherent to functional imaging, it provides reconstructions with better spatial resolution and is more robust to noise.