کد مقاله | کد نشریه | سال انتشار | مقاله انگلیسی | نسخه تمام متن |
---|---|---|---|---|
8159744 | 1524991 | 2018 | 68 صفحه PDF | دانلود رایگان |
عنوان انگلیسی مقاله ISI
De-noising of 3D multiple-coil MR images using modified LMMSE estimator
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موضوعات مرتبط
مهندسی و علوم پایه
فیزیک و نجوم
فیزیک ماده چگال
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چکیده انگلیسی
De-noising is a crucial topic in Magnetic Resonance Imaging (MRI) which focuses on less loss of Magnetic Resonance (MR) image information and details preservation during the noise suppression. Nowadays multiple-coil MRI system is preferred to single one due to its acceleration in the imaging process. Due to the fact that the model of noise in single-coil and multiple-coil MRI systems are different, the de-noising methods that mostly are adapted to single-coil MRI systems, do not work appropriately with multiple-coil one. The model of noise in single-coil MRI systems is Rician while in multiple-coil one (if no subsampling occurs in k-space or GRAPPA reconstruction process is being done in the coils), it obeys noncentral Chi (nc-Ï). In this paper, a new filtering method based on the Linear Minimum Mean Square Error (LMMSE) estimator is proposed for multiple-coil MR Images ruined by nc-Ï noise. In the presented method, to have an optimum similarity selection of voxels, the Bayesian Mean Square Error (BMSE) criterion is used and proved for nc-Ï noise model and also a nonlocal voxel selection methodology is proposed for nc-Ï distribution. The results illustrate robust and accurate performance compared to the related state-of-the-art methods, either on ideal nc-Ï images or GRAPPA reconstructed ones.
ناشر
Database: Elsevier - ScienceDirect (ساینس دایرکت)
Journal: Magnetic Resonance Imaging - Volume 52, October 2018, Pages 102-117
Journal: Magnetic Resonance Imaging - Volume 52, October 2018, Pages 102-117
نویسندگان
Nima Yaghoobi, Reza P.R. Hasanzadeh,