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Multislice and multicoil phase‐sensitive inversion‐recovery imaging
Author(s) -
Ma Jingfei
Publication year - 2005
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.20414
Subject(s) - computer science , pixel , artificial intelligence , robustness (evolution) , computer vision , multislice , scanner , data consistency , phase (matter) , phased array , pattern recognition (psychology) , physics , nuclear magnetic resonance , telecommunications , biochemistry , chemistry , quantum mechanics , antenna (radio) , gene , operating system
Phase‐sensitive inversion‐recovery (PSIR) imaging may provide enhanced T 1 contrast. However, clinical implementation of PSIR imaging is hindered because image reconstruction with this method often lacks robustness and requires manual intervention, particularly for data acquired in multiple slices and with phased‐array coils. In this paper, a new algorithm suitable for automatic PSIR image reconstruction of multislice and multicoil data is presented. This algorithm phase corrects by region‐growing, employing both the magnitude and the phase information of image pixels. Specifically, phase gradients of the original complex image are first calculated and then used to determine the sequence of the region‐growing. The signal direction relating to the phase error for each pixel is then determined during the region‐growing using both the magnitude and the phase of the previously determined pixels that are located within a boxcar neighborhood of the pixel. Finally, the intrinsic intercoil and interslice correlation is exploited to ensure consistency in the global polarity of all of the PSIR images. The results are demonstrated with in vivo human brain images acquired at 3 Tesla with an eight‐channel phased‐array coil. Magn Reson Med 53:904–910, 2005. © 2005 Wiley‐Liss, Inc.