PURPOSE: To characterize cardiac motion artifacts in the liver and assess the use of a postprocessing method to mitigate these artifacts in repeat measurements. MATERIALS AND METHODS: Three subjects underwent breathhold diffusion-weighted (DW) scans consisting of 25 repetitions for three b-values (0, 500, 1000 sec/mm(2)). Statistical maps computed from these repetitions were used to assess the distribution and behavior of cardiac motion artifacts in the liver. An objective postprocessing method to reduce the artifacts was compared with radiologist-defined gold standards. RESULTS: Signal dropout is pronounced in areas proximal to the heart, such as the left lobe, but also present in the right lobe and in distal liver segments. The dropout worsens with b-value and leads to overestimation of the diffusivity. By reference to a radiologist-defined gold standard, a postprocessing correction method is shown to reduce cardiac motion artifact. CONCLUSION: Cardiac motion leads to significant artifacts in liver DW imaging; we propose a postprocessing method that may be used to mitigate the artifact and is advantageous to standard signal averaging in acquisitions with multiple repetitions.
PURPOSE: To characterize cardiac motion artifacts in the liver and assess the use of a postprocessing method to mitigate these artifacts in repeat measurements. MATERIALS AND METHODS: Three subjects underwent breathhold diffusion-weighted (DW) scans consisting of 25 repetitions for three b-values (0, 500, 1000 sec/mm(2)). Statistical maps computed from these repetitions were used to assess the distribution and behavior of cardiac motion artifacts in the liver. An objective postprocessing method to reduce the artifacts was compared with radiologist-defined gold standards. RESULTS: Signal dropout is pronounced in areas proximal to the heart, such as the left lobe, but also present in the right lobe and in distal liver segments. The dropout worsens with b-value and leads to overestimation of the diffusivity. By reference to a radiologist-defined gold standard, a postprocessing correction method is shown to reduce cardiac motion artifact. CONCLUSION: Cardiac motion leads to significant artifacts in liver DW imaging; we propose a postprocessing method that may be used to mitigate the artifact and is advantageous to standard signal averaging in acquisitions with multiple repetitions.
Authors: Petra Mürtz; Sebastian Flacke; Frank Träber; Johan S van den Brink; Jürgen Gieseke; Hans H Schild Journal: Radiology Date: 2002-07 Impact factor: 11.105
Authors: Jeff L Zhang; Eric E Sigmund; Hersh Chandarana; Henry Rusinek; Qun Chen; Pierre-Hugues Vivier; Bachir Taouli; Vivian S Lee Journal: Radiology Date: 2010-01-20 Impact factor: 11.105
Authors: Jignesh Patel; Eric E Sigmund; Henry Rusinek; Marcel Oei; James S Babb; Bachir Taouli Journal: J Magn Reson Imaging Date: 2010-03 Impact factor: 4.813
Authors: Masoud Shiehmorteza; Claude B Sirlin; Tanya Wolfson; Anthony Gamst; Andre E Soumekh; Shay P Heaton; Chad A Kohl; Nicholas Pinto; Mark Bydder Journal: J Magn Reson Imaging Date: 2009-09 Impact factor: 4.813
Authors: Óscar Peña-Nogales; Yuxin Zhang; Xiaoke Wang; Rodrigo de Luis-Garcia; Santiago Aja-Fernández; James H Holmes; Diego Hernando Journal: Magn Reson Med Date: 2018-11-05 Impact factor: 4.668
Authors: Paul Murphy; Jonathan Hooker; Brandon Ang; Tanya Wolfson; Anthony Gamst; Mark Bydder; Michael Middleton; Michael Peterson; Cynthia Behling; Rohit Loomba; Claude Sirlin Journal: J Magn Reson Imaging Date: 2014-09-25 Impact factor: 4.813
Authors: Hossein Ragheb; Neil A Thacker; Jean-Marie Guyader; Stefan Klein; Nandita M deSouza; Alan Jackson Journal: PLoS One Date: 2015-07-23 Impact factor: 3.240