Constrained Spectroscopic Imaging with Hard and Soft Anatomical Boundary Constraints
Haldar J, Ebel A, Jacob M, Hernando D, Zhu X, Schuff N, Liang Z, Sutton B
Beckman Institute, University of Illinois at Urbana-Champaign
This paper addresses an outstanding problem in MRSI, i.e., the inversion of noisy, limited Fourier data with anatomical constraints. The proposed method incorporates exact boundary constraints into the basis functions of a spatial-spectral model, and uncertain boundary constraints into a regularizing penalty function. The final reconstruction is obtained by solving a convex optimization problem. By providing an effective way to integrate anatomical images with spectroscopic images, the proposed method can yield higher-resolution metabolite maps than conventional methods.