title: Integrating parallel imaging with generalized series for accelerated dynamic imaging.
abstract: One key problem in MR dynamic imaging (e.g. dynamic contrast-enhanced (DCE) imaging of breast cancer) is low spatiotemporal resolution. To tackle this problem, this paper presents a novel method to integrate parallel imaging using multiple receiver coils with generalized series (GS) imaging. The proposed method takes advantage of both the conventional parallel data acquisition scheme and the GS model-based imaging method to achieve higher spatiotemporal resolution in dynamic imaging. Simulations on human breast cancer imaging and mammary tumor imaging of rat and the experiment on DCE imaging of human chest tumors yielded excellent results by the proposed method.
authors.affiliation: Department of Electrical and Computer Engineering, University of Illinois at Urbana-Champaign.
authors.forename: Dan
authors.initials: D
authors.lastname: Xu
authors.forename: Erik
authors.initials: E
authors.lastname: Wiener
authors.forename: Mike
authors.initials: M
authors.lastname: Aref
authors.forename: Leslie
authors.initials: L
authors.lastname: Ying
authors.forename: Jim
authors.initials: J
authors.lastname: Ji
authors.forename: Zhi-Pei
authors.initials: ZP
authors.lastname: Liang