A non-iterative multi-scale approach for intensity inhomogeneity correction in MRI |
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| Institution: | 1. Department of Radiology, Division of Neonatology, University of Groningen and University Medical Center Groningen, Hanzeplein 1, 9713 GZ, The Netherlands;2. Department of Pediatrics, Division of Neonatology, University of Groningen and University Medical Center Groningen, Hanzeplein 1, 9713 GZ, The Netherlands;1. Vanderbilt University Institute of Imaging Science, Nashville, TN, United States;2. Department of Radiology and Radiological Sciences, Vanderbilt University, Nashville, TN, United States;3. Department of Physics and Astronomy, Vanderbilt University, Nashville, TN, United States;4. Department of Medical Physics in Radiology, German Cancer Research Center, Germany;5. Department of Biomedical Engineering, Vanderbilt University, Nashville, TN, United States;6. Molecular Physiology and Biophysics, Vanderbilt University, Nashville, TN, United States;1. Department of Radiology, The Ohio State University Wexner Medical Center, Columbus, OH, United States;2. Department of Mechanical Engineering, The Ohio State University, Columbus, OH, United States;3. Center for Biostatistics, Department of Biomedical Informatics, The Ohio State University, Columbus, OH, United States;4. Division of Gastroenterology, Hepatology, and Nutrition, The Ohio State University Wexner Medical Center, Columbus, OH, United States;5. Department of Internal Medicine-Division of Cardiovascular Medicine, The Ohio State University Wexner Medical Center, Columbus, OH, United States;1. Department of NMR & MRI Facility, All India Institute of Medical Sciences, New Delhi, Delhi 110029, India;2. Department of Pathology, All India Institute of Medical Sciences, New Delhi, Delhi 110029, India;3. Department of Radio-diagnosis, All India Institute of Medical Sciences, New Delhi, Delhi 110029, India;4. Department of Surgical Disciplines, All India Institute of Medical Sciences, New Delhi, Delhi 110029, India;1. Department of Diagnostic and Interventional Radiology, University Hospital Tuebingen, 72076 Tübingen, Germany;2. Siemens Healthcare, Erlangen, Germany;3. Siemens Shenzhen Magnetic Resonance Ltd., Shenzhen, China |
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| Abstract: | Intensity inhomogeneity is the prime obstacle for MR image processing like automatic segmentation, registration etc. This complication has strong dependence on the associated acquisition hardware and patient anatomy which recommends retrospective correction. In this paper, a new method is developed for correcting the intensity inhomogeneity using a non-iterative multi-scale approach that doesn't necessitate segmentation and any prior knowledge on the scanner or subject. The proposed algorithm extracts bias field at different scales using a Log-Gabor filter bank followed by smoothing operation. Later, they are combined to fit a third degree polynomial to estimate the bias field. Finally, the corrected image is estimated by performing pixel-wise division of original image and bias field. The performance of the same was tested on BrainWeb simulated data, HCP dataset and is found to provide better performance than the state-of-the-art method, N4. A good agreement between the extracted and ground truth bias field is observed through correlation coefficient on different MR modality images that include T1w, T2w and PD. Significant reduction in coefficient variation and coefficient of joint variation ratios in real data indicate an improved inter-class separation and reduced intra-class intensity variations across white and grey matter tissue regions. |
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