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Inversion recovery image reconstruction with multiseed region‐growing spin reversal
Author(s) -
Xiang QingSan
Publication year - 1996
Publication title -
journal of magnetic resonance imaging
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 1.563
H-Index - 160
eISSN - 1522-2586
pISSN - 1053-1807
DOI - 10.1002/jmri.1880060511
Subject(s) - computer science , inversion (geology) , computer vision , algorithm , polarity (international relations) , artificial intelligence , phase (matter) , image (mathematics) , process (computing) , iterative reconstruction , inverse transform sampling , pattern recognition (psychology) , physics , geology , chemistry , paleontology , biochemistry , structural basin , quantum mechanics , cell , operating system , telecommunications , surface wave
A new algorithm is introduced for inversion recovery (IR) image reconstruction. The original complex image is modeled as a product of three factors: magnitude, polarity, and a smoothly changing phase factor. The simple binary polarity factor is first unified by a region‐growing spin reversal (RGSR) operation, allowing the phase factor to be extracted. Multiplying the complex conjugate of the phase factor with the original complex data yields the desired IR contrast. The RGSR process is repeated with multiple seeds distributed in the field of view (FOV), and the results are added together, enabling disconnected tissues in the FOV to be handled. The extracted phase factor is filtered to reduce noise and artifacts, without losing useful information. The method is fully automatic and has been used practically in a large number of clinical examinations. The algorithm may also be useful for phase correction in simple proton spectroscopic imaging.