Accelerated MR parameter mapping with a union of local subspaces constraint.

ABSTRACT: A new reconstruction method for multi-contrast imaging and parameter mapping based on a union of local subspaces constraint is presented. Subspace constrained reconstructions use a predetermined subspace to explicitly constrain the relaxation signals. The choice of subspace size (K) impacts the approximation error vs noise-amplification tradeoff associated with these methods. A different approach is used in the model consistency constraint (MOCCO) framework to leverage the subspace model to enforce a softer penalty. Our proposed method, MOCCO-LS, augments the MOCCO model with a union of local subspaces (LS) approach. The union of local subspaces model is coupled with spatial support constraints and incorporated into the MOCCO framework to regularize the contrast signals in the scene. The p

SUBMITTER: Mandava S 

PROVIDER: S-EPMC10164411 | biostudies-literature | 2018 Dec

REPOSITORIES: biostudies-literature