Efficient redundant haar minimization for parallel MRI reconstruction
A method for parallel magnetic resonance imaging (MRI) reconstruction of digital images includes providing a set of acquired k-space MR image data v, a redundant Haar wavelet matrix W satisfying WTW=I, wherein I is an identity matrix, a regularization parameter lambda>=0, and a counter limit k, i...
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Main Authors | , , , , |
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Format | Patent |
Language | English |
Published |
25.04.2017
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Subjects | |
Online Access | Get full text |
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Summary: | A method for parallel magnetic resonance imaging (MRI) reconstruction of digital images includes providing a set of acquired k-space MR image data v, a redundant Haar wavelet matrix W satisfying WTW=I, wherein I is an identity matrix, a regularization parameter lambda>=0, and a counter limit k, initializing a variable z0=Wv, and intermediate quantities p0=q0=0, calculating yi=arg minz 1/2 z-(pi+zi) 22+lambda z 1 for 0@i@k, wherein z denotes values of an MR image sought to be reconstructed, updating pi+1=(pi+zi)-yi, updating zi+1=arg minz 1/2 z-(qi+zi) 22+g(z), wherein g ( z ) = { 0 , z = WW T z , + ∞ , otherwise ; and updating qi+1=(qi+yi)-zi-1, wherein x=WTz is a solution of min x 1 2 Wx - Wv 2 2 + lambda Wx 1 that specifies a reconstruction of the MR image. |
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Bibliography: | Application Number: US201213717842 |