Invention Grant
- Patent Title: Rapid 3D dynamic arterial spin labeling with a sparse model-based image reconstruction
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Application No.: US15227825Application Date: 2016-08-03
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Publication No.: US10561337B2Publication Date: 2020-02-18
- Inventor: Li Zhao , Craig Meyer
- Applicant: University of Virginia Patent Foundation
- Applicant Address: US VA Charlottesville
- Assignee: University of Virginia Patent Foundation
- Current Assignee: University of Virginia Patent Foundation
- Current Assignee Address: US VA Charlottesville
- Agency: Meunier Carlin & Curfman LLC
- Main IPC: A61B5/055
- IPC: A61B5/055 ; A61B5/026 ; A61B5/00 ; G01R33/563 ; G01R33/561 ; G01R33/48

Abstract:
Methods, systems, and computer-readable media for rapid 3D dynamic arterial spin labeling with a sparse model-based image reconstruction are disclosed. In one embodiment, a method includes acquiring magnetic resonance data associated with an area of interest of a subject. The magnetic resonance data includes associated with arterial spin labeling (ASL) of the area of interest. The method also includes performing image reconstruction on the acquired resonance data. The image reconstruction includes compressed sensing enforcing a model-based sparsity constraint, where the model-based sparsity constraint is based on an ASL signal prototype dictionary.
Public/Granted literature
- US20170035319A1 RAPID 3D DYNAMIC ARTERIAL SPIN LABELING WITH A SPARSE MODEL-BASED IMAGE RECONSTRUCTION Public/Granted day:2017-02-09
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