Invention Grant
US07884604B2 Systems and methods for reconstruction of sensitivity encoded MRI data
有权
用于图像重建的灵敏度编码MRI数据的系统和方法
- Patent Title: Systems and methods for reconstruction of sensitivity encoded MRI data
- Patent Title (中): 用于图像重建的灵敏度编码MRI数据的系统和方法
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Application No.: US12414632Application Date: 2009-03-30
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Publication No.: US07884604B2Publication Date: 2011-02-08
- Inventor: Evgueni G. Kholmovski , Dennis Lee Parker
- Applicant: Evgueni G. Kholmovski , Dennis Lee Parker
- Applicant Address: US UT Salt Lake City
- Assignee: University of Utah Research Foundation
- Current Assignee: University of Utah Research Foundation
- Current Assignee Address: US UT Salt Lake City
- Agency: McDermott Will & Emery LLP
- Agent James W. Hill
- Main IPC: G01V3/00
- IPC: G01V3/00 ; A61B5/05

Abstract:
Methods and systems in a parallel magnetic resonance imaging (MRI) system utilize sensitivity-encoded MRI data acquired from multiple receiver coils together with spatially dependent receiver coil sensitivities to generate MRI images. The acquired MRI data forms a reduced MRI data set that is undersampled in at least a phase-encoding direction in a frequency domain. The acquired MRI data and auto-calibration signal data are used to determine reconstruction coefficients for each receiver coil using a weighted or a robust least squares method. The reconstruction coefficients vary spatially with respect to at least the spatial coordinate that is orthogonal to the undersampled, phase-encoding direction(s) (e.g., a frequency encoding direction). Values for unacquired MRI data are determined by linearly combining the reconstruction coefficients with the acquired MRI data within neighborhoods in the frequency domain that depend on imaging geometry, coil sensitivity characteristics, and the undersampling factor of the acquired MRI data. An MRI image is determined from the reconstructed unacquired data and the acquired MRI data.
Public/Granted literature
- US20090224759A1 SYSTEMS AND METHODS FOR RECONSTRUCTION OF SENSITIVITY ENCODED MRI DATA Public/Granted day:2009-09-10
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