کد مقاله | کد نشریه | سال انتشار | مقاله انگلیسی | نسخه تمام متن |
---|---|---|---|---|
6893824 | 1445571 | 2017 | 11 صفحه PDF | دانلود رایگان |
عنوان انگلیسی مقاله ISI
Compressed sensing trends in magnetic resonance imaging
ترجمه فارسی عنوان
روند سنجش فشرده در تصویربرداری رزونانس مغناطیسی
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کلمات کلیدی
موضوعات مرتبط
مهندسی و علوم پایه
مهندسی کامپیوتر
علوم کامپیوتر (عمومی)
چکیده انگلیسی
The theory of Compressive Sensing (CS) has experienced a tremendous growth through continuous works of researchers from different cross platform domains of study. The strict realm of Shannon-Nyquist sampling theorem is compromised and an image can be reconstructed from fewer measurements than it was shown necessary to be, but with a trade-off in the efficiency. In biomedical signal processing, especially Magnetic Resonance Imaging (MRI), the potential applicability of CS is long observed. Since then quite a large number of research work in this field has been proposed, a few with experimental analysis, which establish its applicability in the domain of MRI. Since the topic is too broad, this review paper presents a discussion and summary of important works on different fields of CS-MRI. The challenges, limitations and advantages of different techniques of CS-MRI are studied and future trend/ direction is predicted.
ناشر
Database: Elsevier - ScienceDirect (ساینس دایرکت)
Journal: Engineering Science and Technology, an International Journal - Volume 20, Issue 4, August 2017, Pages 1342-1352
Journal: Engineering Science and Technology, an International Journal - Volume 20, Issue 4, August 2017, Pages 1342-1352
نویسندگان
Mrinmoy Sandilya, S.R. Nirmala,