Improved Time Series Reconstruction for Dynamic Magnetic Resonance Imaging
نویسندگان
چکیده
منابع مشابه
Classification of Subject Motion for Improved Reconstruction of Dynamic Magnetic Resonance Imaging
Subject motion is a significant problem in magnetic resonance imaging (MRI). In this project, unsupervised learning using Kmeans clustering, and supervised learning using logistic regression (LR) and support vector machine (SVM) are implemented and applied to solving (1) classification of MR images with/without motion, and (2) estimation of current motion state based on previous low frequency n...
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ژورنال
عنوان ژورنال: IEEE Transactions on Medical Imaging
سال: 2009
ISSN: 0278-0062,1558-254X
DOI: 10.1109/tmi.2008.2012030