کد مقاله کد نشریه سال انتشار مقاله انگلیسی نسخه تمام متن
8220299 1533045 2014 9 صفحه PDF دانلود رایگان
عنوان انگلیسی مقاله ISI
Accelerating Dynamic Magnetic Resonance Imaging (MRI) for Lung Tumor Tracking Based on Low-Rank Decomposition in the Spatial-Temporal Domain: A Feasibility Study Based on Simulation and Preliminary Prospective Undersampled MRI
موضوعات مرتبط
مهندسی و علوم پایه فیزیک و نجوم تشعشع
پیش نمایش صفحه اول مقاله
Accelerating Dynamic Magnetic Resonance Imaging (MRI) for Lung Tumor Tracking Based on Low-Rank Decomposition in the Spatial-Temporal Domain: A Feasibility Study Based on Simulation and Preliminary Prospective Undersampled MRI
چکیده انگلیسی
Magnetic resonance reconstruction using k-t SLR on highly undersampled dynamic MR imaging data results in high image quality useful for tumor tracking. The k-t SLR was superior to TV by better exploiting the intrinsic anatomic coherence of the same patient. The feasibility of k-t SLR was demonstrated by prospective imaging acquisition and reconstruction.
ناشر
Database: Elsevier - ScienceDirect (ساینس دایرکت)
Journal: International Journal of Radiation Oncology*Biology*Physics - Volume 88, Issue 3, 1 March 2014, Pages 723-731
نویسندگان
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