Reconstructions for Continuous-Wave Diffuse Optical Tomography by a Globally Convergent Method

Jianzhong Su, Yueming Liu, Zi-Jing Lin, Steven Teng, Aubrey Rhoden, Natee Pantong, Hanli Liu
2014 Journal of Applied Mathematics and Physics  
In this paper, a novel reconstruction method is presented for Near Infrared (NIR) 2-D imaging to recover optical absorption coefficients from laboratory phantom data. The main body of this work validates a new generation of highly efficient reconstruction algorithms called "Globally Convergent Method" (GCM) based upon actual measurements taken from brain-shape phantoms. It has been demonstrated in earlier studies using computer-simulated data that this type of reconstructions is stable for
more » ... is stable for imaging complex distributions of optical absorption. The results in this paper demonstrate the excellent capability of GCM in working with experimental data measured from optical phantoms mimicking a rat brain with stroke.
doi:10.4236/jamp.2014.25025 fatcat:upt7mdhqmjg63cmbllv3mtv6xa