Analysis of different phase unwrapping methods to optimize quantitative susceptibility mapping in the abdomen

Quantitative susceptibility mapping (QSM) is heavily impacted by phase processing of gradient echo imaging data. So far, phase unwrapping algorithms have mostly been developed and tested for neuroimaging applications. In this work, a numerical human abdomen phantom was created and used to assess the feasibility of different phase unwrapping algorithms in abdominal QSM. Furthermore, in vivo data were acquired to evaluate consistency with the simulations.

[1]  David Bonekamp,et al.  Potential of quantitative susceptibility mapping for detection of prostatic calcifications , 2017, Journal of magnetic resonance imaging : JMRI.

[2]  Weibo Chen,et al.  Quantitative susceptibility mapping of articular cartilage in patients with osteoarthritis at 3T , 2018, Journal of magnetic resonance imaging : JMRI.

[3]  S. Reeder,et al.  Quantitative susceptibility mapping in the abdomen as an imaging biomarker of hepatic iron overload , 2015, Magnetic resonance in medicine.

[4]  Xue Xiao,et al.  Integrated Laplacian‐based phase unwrapping and background phase removal for quantitative susceptibility mapping , 2014, NMR in biomedicine.

[5]  Yi Wang,et al.  Morphology enabled dipole inversion for quantitative susceptibility mapping using structural consistency between the magnitude image and the susceptibility map , 2012, NeuroImage.

[6]  Jianrong Xu,et al.  Streaking artifact reduction for quantitative susceptibility mapping of sources with large dynamic range , 2015, NMR in biomedicine.

[7]  Ferdinand Schweser,et al.  A comprehensive numerical analysis of background phase correction with V‐SHARP , 2017, NMR in biomedicine.

[8]  S. Chavez,et al.  Understanding phase maps in MRI: a new cutline phase unwrapping method , 2002, IEEE Transactions on Medical Imaging.

[9]  S. Francis,et al.  Multiparametric Renal Magnetic Resonance Imaging: Validation, Interventions, and Alterations in Chronic Kidney Disease , 2017, Front. Physiol..

[10]  Petra Kaufmann,et al.  Two Dimensional Phase Unwrapping Theory Algorithms And Software , 2016 .

[11]  Peter C. M. van Zijl,et al.  Quantitative magnetic susceptibility mapping without phase unwrapping using WASSR , 2014, NeuroImage.

[12]  Bing Wu,et al.  Quantitative susceptibility mapping of human brain reflects spatial variation in tissue composition , 2011, NeuroImage.

[13]  W. T. Dixon Simple proton spectroscopic imaging. , 1984, Radiology.

[14]  Pascal Spincemaille,et al.  Nonlinear formulation of the magnetic field to source relationship for robust quantitative susceptibility mapping , 2013, Magnetic resonance in medicine.

[15]  Nian Wang,et al.  Exploring the origins of echo-time-dependent quantitative susceptibility mapping (QSM) measurements in healthy tissue and cerebral microbleeds , 2017, NeuroImage.

[16]  Edward S. Hui,et al.  Quantitative susceptibility mapping as an indicator of subcortical and limbic iron abnormality in Parkinson's disease with dementia , 2018, NeuroImage: Clinical.

[17]  Markus Barth,et al.  Phase unwrapping of MR images using ΦUN - A fast and robust region growing algorithm , 2009, Medical Image Anal..

[18]  G Allan Johnson,et al.  Susceptibility tensor imaging of the kidney and its microstructural underpinnings , 2015, Magnetic resonance in medicine.

[19]  Robert Zivadinov,et al.  Brain Iron at Quantitative MRI Is Associated with Disability in Multiple Sclerosis. , 2018, Radiology.

[20]  G Allan Johnson,et al.  Quantitative susceptibility mapping of kidney inflammation and fibrosis in type 1 angiotensin receptor‐deficient mice , 2013, NMR in biomedicine.

[21]  Ives R Levesque,et al.  Phase processing for quantitative susceptibility mapping of regions with large susceptibility and lack of signal , 2018, Magnetic resonance in medicine.

[22]  Guang Yang,et al.  Quantitative susceptibility mapping (QSM) minimizes interference from cellular pathology in R2* estimation of liver iron concentration , 2018, Journal of magnetic resonance imaging : JMRI.

[23]  G. Jahng,et al.  Estimation of T2* Relaxation Time of Breast Cancer: Correlation with Clinical, Imaging and Pathological Features , 2017, Korean journal of radiology.

[24]  E. Haacke,et al.  Quantitative susceptibility mapping: current status and future directions. , 2015, Magnetic resonance imaging.

[25]  Chunlei Liu,et al.  Whole brain susceptibility mapping using compressed sensing , 2012, Magnetic resonance in medicine.

[26]  José P. Marques,et al.  An illustrated comparison of processing methods for MR phase imaging and QSM: combining array coil signals and phase unwrapping , 2016, NMR in biomedicine.

[27]  Hongyan Ni,et al.  Quantification of liver iron concentration using the apparent susceptibility of hepatic vessels. , 2018, Quantitative imaging in medicine and surgery.

[28]  Yi Wang,et al.  Background field removal by solving the Laplacian boundary value problem , 2014, NMR in biomedicine.

[29]  D. C. Ghiglia IFSAR correlation improvement through local slope correction , 1998, IGARSS '98. Sensing and Managing the Environment. 1998 IEEE International Geoscience and Remote Sensing. Symposium Proceedings. (Cat. No.98CH36174).

[30]  Yimei Zhu,et al.  Fast phase unwrapping algorithm for interferometric applications. , 2003, Optics letters.

[31]  Dong Zhou,et al.  Phase unwrapping with graph cuts optimization and dual decomposition acceleration for 3D high‐resolution MRI data , 2017, Magnetic resonance in medicine.

[32]  R. Cusack,et al.  New Robust 3-D Phase Unwrapping Algorithms: Application to Magnetic Field Mapping and Undistorting Echoplanar Images , 2002, NeuroImage.

[33]  Siegfried Trattnig,et al.  A method for unwrapping highly wrapped multi‐echo phase images at very high field: UMPIRE , 2014, Magnetic resonance in medicine.

[34]  Alan H Wilman,et al.  Quantitative Susceptibility Mapping for Following Intracranial Hemorrhage. , 2018, Radiology.

[35]  Ali Bilgin,et al.  High‐resolution, large dynamic range field map estimation , 2014, Magnetic resonance in medicine.

[36]  G. Johnson,et al.  Dynamic contrast-enhanced quantitative susceptibility mapping with ultrashort echo time MRI for evaluating renal function. , 2016, American journal of physiology. Renal physiology.

[37]  Chunlei Liu,et al.  Quantitative susceptibility mapping in combination with water-fat separation for simultaneous liver iron and fat fraction quantification , 2018, European Radiology.

[38]  Hongfu Sun,et al.  Quantitative susceptibility mapping using a superposed dipole inversion method: Application to intracranial hemorrhage , 2016, Magnetic resonance in medicine.

[39]  Håkan Ahlström,et al.  Three‐point dixon method enables whole‐body water and fat imaging of obese subjects , 2010, Magnetic resonance in medicine.

[40]  V B Ho,et al.  Chemical shift: the artifact and clinical tool revisited. , 1999, Radiographics : a review publication of the Radiological Society of North America, Inc.

[41]  D. Margolis,et al.  Rapid automated liver quantitative susceptibility mapping , 2019, Journal of magnetic resonance imaging : JMRI.

[42]  Shonit Punwani,et al.  The effect of low resolution and coverage on the accuracy of susceptibility mapping , 2018, Magnetic resonance in medicine.

[43]  Francis Lilley,et al.  Fast and robust three-dimensional best path phase unwrapping algorithm. , 2007, Applied optics.

[44]  R. Edelman,et al.  Joint estimation of chemical shift and quantitative susceptibility mapping (chemical QSM) , 2015, Magnetic resonance in medicine.

[45]  Yi Wang,et al.  Simultaneous Phase Unwrapping and Removal of Chemical Shift (SPURS) Using Graph Cuts: Application in Quantitative Susceptibility Mapping , 2015, IEEE Transactions on Medical Imaging.

[46]  O. Simonetti,et al.  Rapid assessment of quantitative T1, T2 and T2* in lower extremity muscles in response to maximal treadmill exercise , 2015, NMR in biomedicine.