PURPOSE: The correction of chemical shift artifacts in MR images of fluorinated molecules with a multi-resonance spectrum is investigated. The goal is to find a deconvolution method which is capable of correcting the artifact, thereby enhancing signal-to-noise ratio (SNR) and revealing signal that vanishes in the noise in the original image. THEORY AND METHODS: Simulations for inspecting the influence of MRI acquisition parameters on the possibility to correct the artifact are performed. Artifact correction is studied on the spectrum of a perfluorocarbon compound by means of deconvolution of complex images with a measured or an optimized point spread function and by using lasso regularization. RESULTS: Distinct parameter settings for image acquisition are identified that should be avoided for successful deconvolution. With in vitro and in vivo images it is shown that the SNR of the corrected image can be increased significantly by 20-50% by a regularized deconvolution of the artifact image and (19) F signal can be revealed from noise. CONCLUSION: By deconvolution, SNR can be enhanced as compared to an image which only exploits the strongest peak of the spectrum. Thus, the limit of detection of the (19) F signal can be lowered by exciting all resonances and by means of correcting the chemical shift artifact.
PURPOSE: The correction of chemical shift artifacts in MR images of fluorinated molecules with a multi-resonance spectrum is investigated. The goal is to find a deconvolution method which is capable of correcting the artifact, thereby enhancing signal-to-noise ratio (SNR) and revealing signal that vanishes in the noise in the original image. THEORY AND METHODS: Simulations for inspecting the influence of MRI acquisition parameters on the possibility to correct the artifact are performed. Artifact correction is studied on the spectrum of a perfluorocarbon compound by means of deconvolution of complex images with a measured or an optimized point spread function and by using lasso regularization. RESULTS: Distinct parameter settings for image acquisition are identified that should be avoided for successful deconvolution. With in vitro and in vivo images it is shown that the SNR of the corrected image can be increased significantly by 20-50% by a regularized deconvolution of the artifact image and (19) F signal can be revealed from noise. CONCLUSION: By deconvolution, SNR can be enhanced as compared to an image which only exploits the strongest peak of the spectrum. Thus, the limit of detection of the (19) F signal can be lowered by exciting all resonances and by means of correcting the chemical shift artifact.
Authors: Ruud B van Heeswijk; Roberto Colotti; Emeline Darçot; Jean Delacoste; Maxime Pellegrin; Davide Piccini; Diego Hernando Journal: Magn Reson Med Date: 2017-09-01 Impact factor: 4.668
Authors: Jasper Schoormans; Claudia Calcagno; Mariah R R Daal; Rob C I Wüst; Christopher Faries; Alexander Maier; Abraham J P Teunissen; Sonum Naidu; Brenda L Sanchez-Gaytan; Aart J Nederveen; Zahi A Fayad; Willem J M Mulder; Bram F Coolen; Gustav J Strijkers Journal: Magn Reson Med Date: 2019-08-23 Impact factor: 4.668
Authors: Anne H Schmieder; Shelton D Caruthers; Jochen Keupp; Samuel A Wickline; Gregory M Lanza Journal: Engineering (Beijing) Date: 2016-03-16 Impact factor: 7.553