کد مقاله کد نشریه سال انتشار مقاله انگلیسی نسخه تمام متن
1807457 1025262 2011 8 صفحه PDF دانلود رایگان
عنوان انگلیسی مقاله ISI
Non-Iterative Regularized reconstruction Algorithm for Non-CartesiAn MRI: NIRVANA
موضوعات مرتبط
مهندسی و علوم پایه فیزیک و نجوم فیزیک ماده چگال
پیش نمایش صفحه اول مقاله
Non-Iterative Regularized reconstruction Algorithm for Non-CartesiAn MRI: NIRVANA
چکیده انگلیسی

We introduce a novel noniterative algorithm for the fast and accurate reconstruction of nonuniformly sampled MRI data. The proposed scheme derives the reconstructed image as the nonuniform inverse Fourier transform of a compensated dataset. We derive each sample in the compensated dataset as a weighted linear combination of a few measured k-space samples. The specific k-space samples and the weights involved in the linear combination are derived such that the reconstruction error is minimized. The computational complexity of the proposed scheme is comparable to that of gridding. At the same time, it provides significantly improved accuracy and is considerably more robust to noise and undersampling. The advantages of the proposed scheme makes it ideally suited for the fast reconstruction of large multidimensional datasets, which routinely arise in applications such as f-MRI and MR spectroscopy. The comparisons with state-of-the-art algorithms on numerical phantoms and MRI data clearly demonstrate the performance improvement.

ناشر
Database: Elsevier - ScienceDirect (ساینس دایرکت)
Journal: Magnetic Resonance Imaging - Volume 29, Issue 2, February 2011, Pages 222–229
نویسندگان
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