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Image reconstruction in parallel imaging using an array of phased receiver coils involves solving a matrix equation whose coefficient matrix is formed from estimated coil sensitivity functions. Inaccurate sensitivity functions can create image artifacts and reduce signal-to-noise ratio (SNR). This paper discusses the effects of inaccurate sensitivity functions and proposes some remedies to reduce...
Parallel imaging using multiple receiver coils has emerged as an effective tool to reduce imaging time in various MRI applications. When a large number of receiver channels are used to achieve large acceleration factors, the image reconstruction problem can become very ill conditioned. This problem can be alleviated by optimizing the geometry of the coils or by mathematical regularization. Among the...
MRI is a relatively slow imaging technique. Although imaging speeds have increased dramatically over the last three decades, many clinical and research applications, ranging from contrast-enhanced dynamic imaging of breast tumors to cardiac imaging, require still faster imaging methods. To address this problem, this paper presents a novel algorithm to integrate generalized series (OS) imaging with...
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