Automatic correction of intensity inhomogeneities improves unsupervised assessment of abdominal fat by MRI.

@article{Positano2008AutomaticCO,
  title={Automatic correction of intensity inhomogeneities improves unsupervised assessment of abdominal fat by MRI.},
  author={Vincenzo Positano and Kenneth Cusi and Maria Filomena Santarelli and Annamaria Sironi and Roberta Petz and Ralph A DeFronzo and Luigi Landini and Amalia Gastaldelli},
  journal={Journal of magnetic resonance imaging : JMRI},
  year={2008},
  volume={28 2},
  pages={403-10}
}
PURPOSE To demonstrate that unsupervised assessment of abdominal adipose tissue distribution by magnetic resonance imaging (MRI) can be improved by integrating automatic correction of signal inhomogeneities. MATERIALS AND METHODS Twenty subjects (body mass index [BMI] 23.7-44.0 kg/m(2)) underwent abdominal (32 slices) MR imaging with a 1.9T Elscint Prestige scanner. Many images were affected by relevant intensity distortions. Unsupervised segmentation of subcutaneous adipose tissue (SAT) and… CONTINUE READING
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