Sensitivity Encoding Reconstruction for MRI with Gridding Algorithm
نویسندگان
چکیده
منابع مشابه
SENSE: sensitivity encoding for fast MRI.
New theoretical and practical concepts are presented for considerably enhancing the performance of magnetic resonance imaging (MRI) by means of arrays of multiple receiver coils. Sensitivity encoding (SENSE) is based on the fact that receiver sensitivity generally has an encoding effect complementary to Fourier preparation by linear field gradients. Thus, by using multiple receiver coils in par...
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A. Samsonov, E. Kholmovski, C. Johnson Scientific Computing and Imaging Institute, University of Utah, Salt Lake City, Utah, United States, UCAIR, Department of Radiology, University of Utah, Salt Lake City, Utah, United States Introduction: Using phase constraints in sensitivity-encoded data reconstruction promises a number of benefits, including improved image quality, signal-to-noise ratio (...
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A novel method for iterative reconstruction of images from undersampled MRI data acquired by multiple receiver coil systems is presented. Based on parallel Projection onto Convex Sets (POCS) formalism, the method for SENSitivity Encoded data reconstruction (POCSENSE) can be readily modified to include various linear and non-linear reconstruction constraints. Such constraints may be beneficial f...
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ژورنال
عنوان ژورنال: Journal of Computer and Communications
سال: 2021
ISSN: 2327-5219,2327-5227
DOI: 10.4236/jcc.2021.92002