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Abstract #2107

Automatic Correction of Intensity Inhomogeneity in Two-Point Dixon Fat and Water Images

Sungheon Kim1, Jian Xu2, Linda Moy1, Henry Rusinek1, Daniel K. Sodickson1

1Center for Biomedical Imaging, Department of Radiology, New York University, New York, NY, USA; 2Siemens Medical Solutions USA Inc., New York, NY, USA

Two-point Dixon method is often a preferred choice for clinical applications as shorter scan time reduces the motion artifacts which can cause processing failure. However, the fat quantification using two-point Dixon can suffer from intensity inhomogeneity due to imperfect compensation for the magnetic field inhomogeneity. The objective of this study was to develop a novel image processing method to correct the intensity inhomogeneity in two-point Dixon fat and water images by using their relationship with the fat and water fraction images to estimate the correction map. The proposed method was successfully developed and applied to the breast fat/water imaging.