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Auto‐calibrated parallel spiral imaging
Author(s) -
Heberlein and Keith,
Hu Xiaoping
Publication year - 2006
Publication title -
magnetic resonance in medicine
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 1.696
H-Index - 225
eISSN - 1522-2594
pISSN - 0740-3194
DOI - 10.1002/mrm.20811
Subject(s) - interpolation (computer graphics) , kernel (algebra) , spiral (railway) , calibration , computer science , trajectory , algorithm , invariant (physics) , artificial intelligence , mathematics , physics , mathematical analysis , image (mathematics) , statistics , combinatorics , mathematical physics , astronomy
This work describes an auto‐calibrated method for parallel imaging with spiral trajectory. The method is a k ‐space approach where an interpolation kernel, accounting for coil sensitivity factors, is derived from experimental data and used to interpolate the reduced data set in parallel imaging to estimate the missing k ‐space data. For the case of spiral imaging, this interpolation kernel is defined along radial directions so that missing spiral interleaves can be estimated directly from neighboring interleaves. This kernel is invariant along the radial direction but varies azimuthally. Therefore, the k ‐space is divided into angular sectors and sector‐specific kernels are used. It is demonstrated experimentally that relatively few sectors are sufficient for accurate reconstruction, allowing for efficient implementation. The interpolation kernels can be derived either from a separate calibration scan or self‐calibration data available with a dual‐density spiral acquisition. The reconstruction method is implemented with two sampling strategies and experimentally demonstrated to be robust. Magn Reson Med, 2006. © 2006 Wiley‐Liss, Inc.