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Low-Rank Modeling of Local $k$-Space Neighborhoods (LORAKS) for Constrained MRI 원문보기

IEEE transactions on medical imaging, v.33 no.3, 2014년, pp.668 - 681  

Haldar, Justin P. (Ming Hsieh Dept. of Electr. Eng., Univ. of Southern California, Los Angeles, CA, USA)

Abstract AI-Helper 아이콘AI-Helper

Recent theoretical results on low-rank matrix reconstruction have inspired significant interest in low-rank modeling of MRI images. Existing approaches have focused on higher-dimensional scenarios with data available from multiple channels, timepoints, or image contrasts. The present work demonstrat...

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