Magnetic Resonance Imaging Artifact Elimination in the Diagnosis of Female Pelvic Abscess under Phase Correction Algorithm.

Contrast Media Mol Imaging

Department of Gynecology, Baodi Clinical College, Tianjin Medical University, Tianjin 301800, China.

Published: January 2022

In order to explore the effect of magnetic resonance imaging (MRI) based on phase correction algorithm in diagnosing female pelvic abscess, firstly, the effect of phase correction algorithm on eliminating MRI image motion artifacts was studied, then it was applied to 71 female pelvic cases admitted to our hospital in the diagnosis of abscess patients with magnetic resonance imaging technology, and the results were compared with the results of multislice spiral CT and laparoscopy to explore the accuracy of MRI and CT. It was found that the results of MRI examination were close to those of laparoscopy, and the difference was not statistically significant ( > 0.05); the results of CT examination and laparoscopy were significantly different, and the difference was statistically significant ( < 0.05); in addition, the results of CT examination, the number of bacterial cysts (43 cases) and tuberculous cysts (12 cases), were significantly lower than the results of MRI (50 cases, 18 cases), and the difference was statistically significant ( < 0.05). The size of the mass shown by the MRI examination (4.1  cm × 4.2  cm × 3.9 cm~13.9  cm × 9.5  cm × 8.7 cm) was larger than the size of the mass revealed by the CT examination (5.2  cm × 4.3  cm × 4.1 cm~15.5  cm × 10.1  cm × 9.6 cm), the difference between the two was statistically significant ( < 0.05), and it was closer to the results of laparoscopic pathology (4.1  cm × 4.3  cm × 3.9 cm~14.1  cm × 9.3  cm < 0.058.7 cm). In short, the phase correction algorithm could eliminate the motion artifacts of MRI images. In the imaging diagnosis of female pelvic abscess, the MRI diagnosis based on the phase correction algorithm is more ideal than the diagnosis of multislice spiral CT. It can be used as a reference basis for clinical disease treatment.

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http://www.ncbi.nlm.nih.gov/pmc/articles/PMC8349288PMC
http://dx.doi.org/10.1155/2021/9873775DOI Listing

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