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Total variation–based method for generation of intravoxel incoherent motion parametric images in MRI
Author(s) -
Lin Chieh,
Shih YiYu,
Huang SiaoLan,
Huang HsuanMing
Publication year - 2017
Publication title -
magnetic resonance in medicine
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 1.696
H-Index - 225
eISSN - 1522-2594
pISSN - 0740-3194
DOI - 10.1002/mrm.26528
Subject(s) - intravoxel incoherent motion , parametric statistics , computer science , context (archaeology) , magnetic resonance imaging , effective diffusion coefficient , diffusion , image quality , diffusion mri , algorithm , artificial intelligence , mathematics , computer vision , image (mathematics) , physics , medicine , statistics , radiology , paleontology , biology , thermodynamics
Purpose Total variation (TV) method has been used widely for image restoration and reconstruction. In this work, we propose a TV‐based algorithm for parametric image generation in intravoxel incoherent motion (IVIM) diffusion‐weighted magnetic resonance imaging (DW‐MRI). Methods We used simulated and real data to investigate whether the proposed TV‐based method can provide reliable parametric images. Parametric images of IVIM parameters including perfusion fraction (PF), diffusion coefficient (D), and pseudo‐diffusion coefficient (D*) were estimated using DW‐MRI data and TV through fitting the IVIM model. The Levenberg‐Marquardt (LM) method, which has often been used in the context of IVIM analysis, was employed as the standard method for comparison of the resulting parametric images. Results The simulation results show that the proposed method outperforms the LM algorithm in terms of precision, providing a 40–81%, 90–93%, and 68–84% improvement for PF, D and D*, respectively, at signal‐to‐noise ratio (SNR) of 30. For real data, the proposed method showed an average five‐fold, three‐fold, and four‐fold improvement in the SNR for PF, D and D*, respectively. Conclusion We introduced the use of TV to produce parametric images, and demonstrated that the proposed TV‐based method is effective in improving the parametric image quality. Magn Reson Med 78:1383–1391, 2017. © 2016 International Society for Magnetic Resonance in Medicine.