Prior image-constrained ℓ(1)-norm-based reconstruction method for effective usage of structural information in diffuse optical tomography.
A novel approach that can more effectively use the structural information provided by the traditional imaging modalities in multimodal diffuse optical tomographic imaging is introduced. This approach is based on a prior image-constrained-ℓ(1) minimization scheme and has been motivated by the recent progress in the sparse image reconstruction techniques. It is shown that the proposed framework is more effective in terms of localizing the tumor region and recovering the optical property values both in numerical and gelatin phantom cases compared to the traditional methods that use structural information.
Supercomputer Education and Research Centre, Indian Institute of Science, Bangalore 560 012, India.
Calvin B
CB
Shaw
Phaneendra K
PK
Yalavarthy
D007091:Image Processing, Computer-Assisted / Q000379:methods*; D007259:Infrared Rays; D019047:Phantoms, Imaging; D059629:Signal-To-Noise Ratio; D041622:Tomography, Optical / Q000379:methods*