Inversion recovery image reconstruction with multiseed region-growing spin reversal.
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.
Department of Radiology, St. Paul's Hospital, Vancover, BC, Canada.
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Xiang
D000465:Algorithms; D001921:Brain / Q000033:anatomy & histology; D008279:Magnetic Resonance Imaging; D008953:Models, Anatomic; D008962:Models, Theoretical