title: Dimensionality Reduction Based Optimization Algorithm for Sparse 3-D Image Reconstruction in Diffuse Optical Tomography.
abstract: Diffuse optical tomography (DOT) is a relatively low cost and portable imaging modality for reconstruction of optical properties in a highly scattering medium, such as human tissue. The inverse problem in DOT is highly ill-posed, making reconstruction of high-quality image a critical challenge. Because of the nature of sparsity in DOT, sparsity regularization has been utilized to achieve high-quality DOT reconstruction. However, conventional approaches using sparse optimization are computationally expensive and have no selection criteria to optimize the regularization parameter. In this paper, a novel algorithm, Dimensionality Reduction based Optimization for DOT (DRO-DOT), is proposed. It reduces the dimensionality of the inverse DOT problem by reducing the number of unknowns in two steps and thereby makes the overall process fast. First, it constructs a low resolution voxel basis based on the sensing-matrix properties to find an image support. Second, it reconstructs the sparse image inside this support. To compensate for the reduced sensitivity with increasing depth, depth compensation is incorporated in DRO-DOT. An efficient method to optimally select the regularization parameter is proposed for obtaining a high-quality DOT image. DRO-DOT is also able to reconstruct high-resolution images even with a limited number of optodes in a spatially limited imaging set-up.
authors.affiliation: Department of Electrical Engineering, University of Texas at Arlington, Arlington, TX 76019, USA.
authors.forename: Tanmoy
authors.initials: T
authors.lastname: Bhowmik
authors.affiliation: Department of Bioengineering, University of Texas at Arlington, Arlington, TX 76019, USA.
authors.forename: Hanli
authors.initials: H
authors.lastname: Liu
authors.affiliation: Department of Bioengineering, University of Texas at Arlington, Arlington, TX 76019, USA.
authors.forename: Zhou
authors.initials: Z
authors.lastname: Ye
authors.affiliation: Department of Electrical Engineering, University of Texas at Arlington, Arlington, TX 76019, USA.|Department of Biomedical Engineering, Mahidol University, Salaya, Nakhon Pathom 73170, Thailand.
authors.forename: Soontorn
authors.initials: S
authors.lastname: Oraintara
mesh_terms: D000465:Algorithms; D001927:Brain Diseases / Q000000981:diagnostic imaging*; D001943:Breast Neoplasms / Q000000981:diagnostic imaging*; D005260:Female; D006801:Humans; D007090:Image Interpretation, Computer-Assisted; D021621:Imaging, Three-Dimensional; D008297:Male; D008962:Models, Theoretical; D011471:Prostatic Neoplasms / Q000000981:diagnostic imaging*; D041622:Tomography, Optical / Q000379:methods*