Sven Jaeschke1, 2, Alexander Hubert3, Andreas J. Bartsch4, Antje Kickhefel2, Aleksandar Petrovic2
1HAW Hamburg, Hamburg, Germany; 2Healthcare Sector, Siemens AG, Erlangen, Germany; 3Neuroradiology, Universittsklinikum Heidelberg, Heidelberg, Germany; 4Neuroradiology, University of Heidelberg, Heidelberg, Germany
Intensity inhomogeneities remain an issue in high-field MRI and can degrade clinical interpretability of images. To improve image quality in a fast, robust and fully automated fashion, we developed and clinically validated a novel image inhomogeneity correction method, based on entropy minimization. A wide range of different MR-contrasts/sequences in healthy-control and images with pathological findings were assessed. Two trained radiologists evaluated each image in a blind fashion and both agreed on each rating. We show that the combination of the 3D implementation of our method and the current built-in Siemens solution significantly improves the clinical impression of 3T neuroradiological MRI.