1
|
Stinson EG, Trzasko JD, Campeau NG, Glockner JF, Huston J, Young PM, Riederer SJ. Time-resolved contrast-enhanced MR angiography with single-echo Dixon fat suppression. Magn Reson Med 2018; 80:1556-1567. [PMID: 29488251 PMCID: PMC6097950 DOI: 10.1002/mrm.27152] [Citation(s) in RCA: 3] [Impact Index Per Article: 0.5] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/15/2017] [Revised: 01/26/2018] [Accepted: 02/05/2018] [Indexed: 01/07/2023]
Abstract
PURPOSE Dixon-based fat suppression has recently gained interest for dynamic contrast-enhanced MRI, but multi-echo techniques require longer scan times and reduce temporal resolution compared to single-echo alternatives without fat suppression. The purpose of this work is to demonstrate accelerated single-echo Dixon imaging with high spatial and temporal resolution. THEORY AND METHODS Real-valued water and fat images can be obtained from a single measurement if the shared initial phase and that due to ΔB0 are assumed known a priori. An expression for simultaneous sensitivity encoding (SENSE) unfolding and fat-water separation is derived for the general undersampling case, and simplified under the special case of uniform Cartesian undersampling. In vivo experiments were performed in extremities and brain with SENSE acceleration factors of up to R = 8. RESULTS Single-echo Dixon reconstruction of highly undersampled data was successfully demonstrated. Dynamic contrast-enhanced water and fat images provided high spatial and temporal resolution dynamic images with image update times shorter than previous single-echo Dixon work. CONCLUSION Time-resolved contrast-enhanced MRI with single-echo Dixon fat suppression shows high image quality, improved vessel delineation, and reduced sensitivity to motion when compared to time-subtraction methods.
Collapse
Affiliation(s)
| | | | | | | | - John Huston
- Mayo Clinic, Department of Radiology, Rochester, MN, USA
| | | | | |
Collapse
|
2
|
Stinson EG, Trzasko JD, Weavers PT, Riederer SJ. Dixon-type and subtraction-type contrast-enhanced magnetic resonance angiography: A theoretical and experimental comparison of SNR and CNR. Magn Reson Med 2015; 74:81-92. [PMID: 25043453 PMCID: PMC4298483 DOI: 10.1002/mrm.25374] [Citation(s) in RCA: 7] [Impact Index Per Article: 0.8] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/26/2014] [Revised: 06/12/2014] [Accepted: 06/27/2014] [Indexed: 11/09/2022]
Abstract
PURPOSE The purpose of this work is to compare the behavior of the signal-to-noise ratio (SNR) and contrast-to-noise ratio (CNR) in contrast-enhanced MR angiography with background suppression performed by either a Dixon-type or subtraction-type method. THEORY AND METHODS Theoretical expressions for the SNR and CNR for both background suppression techniques were derived. The theoretical Dixon:subtraction SNR and CNR ratios were compared to empirical ratios measured from phantom and in vivo studies for Dixon techniques utilizing one, two, and three echoes. Specifically, the SNR and CNR ratios were compared as the concentration of contrast material in the blood changed. RESULTS Empirical measurements of the SNR and CNR ratios compared favorably with the ratios predicted by theory. As the contrast concentration was reduced, the SNR advantage of the Dixon techniques increased asymptotically. In the ideal case, the SNR improvement over subtraction contrast-enhanced MR angiography was at least twofold for one- and two-echo Dixon techniques and at least a factor of 6 for the three-echo Dixon technique. CONCLUSION Expressions showing a contrast concentration-dependent SNR and CNR improvement of at least a factor of two when Dixon-type contrast-enhanced MR angiography is used in place of subtraction-type contrast-enhanced MR angiography were derived and validated with phantom and in vivo experiments. Magn Reson Med 74:81-92, 2015. © 2014 Wiley Periodicals, Inc.
Collapse
Affiliation(s)
- Eric G. Stinson
- Department of Radiology, Mayo Clinic, MR Research Laboratory, Rochester, Minnesota, USA
| | - Joshua D. Trzasko
- Department of Radiology, Mayo Clinic, MR Research Laboratory, Rochester, Minnesota, USA
| | - Paul T. Weavers
- Department of Radiology, Mayo Clinic, MR Research Laboratory, Rochester, Minnesota, USA
| | - Stephen J. Riederer
- Department of Radiology, Mayo Clinic, MR Research Laboratory, Rochester, Minnesota, USA
| |
Collapse
|
3
|
Odéen H, Todd N, Diakite M, Minalga E, Payne A, Parker DL. Sampling strategies for subsampled segmented EPI PRF thermometry in MR guided high intensity focused ultrasound. Med Phys 2015; 41:092301. [PMID: 25186406 DOI: 10.1118/1.4892171] [Citation(s) in RCA: 14] [Impact Index Per Article: 1.6] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/07/2022] Open
Abstract
PURPOSE To investigate k-space subsampling strategies to achieve fast, large field-of-view (FOV) temperature monitoring using segmented echo planar imaging (EPI) proton resonance frequency shift thermometry for MR guided high intensity focused ultrasound (MRgHIFU) applications. METHODS Five different k-space sampling approaches were investigated, varying sample spacing (equally vs nonequally spaced within the echo train), sampling density (variable sampling density in zero, one, and two dimensions), and utilizing sequential or centric sampling. Three of the schemes utilized sequential sampling with the sampling density varied in zero, one, and two dimensions, to investigate sampling the k-space center more frequently. Two of the schemes utilized centric sampling to acquire the k-space center with a longer echo time for improved phase measurements, and vary the sampling density in zero and two dimensions, respectively. Phantom experiments and a theoretical point spread function analysis were performed to investigate their performance. Variable density sampling in zero and two dimensions was also implemented in a non-EPI GRE pulse sequence for comparison. All subsampled data were reconstructed with a previously described temporally constrained reconstruction (TCR) algorithm. RESULTS The accuracy of each sampling strategy in measuring the temperature rise in the HIFU focal spot was measured in terms of the root-mean-square-error (RMSE) compared to fully sampled "truth." For the schemes utilizing sequential sampling, the accuracy was found to improve with the dimensionality of the variable density sampling, giving values of 0.65 °C, 0.49 °C, and 0.35 °C for density variation in zero, one, and two dimensions, respectively. The schemes utilizing centric sampling were found to underestimate the temperature rise, with RMSE values of 1.05 °C and 1.31 °C, for variable density sampling in zero and two dimensions, respectively. Similar subsampling schemes with variable density sampling implemented in zero and two dimensions in a non-EPI GRE pulse sequence both resulted in accurate temperature measurements (RMSE of 0.70 °C and 0.63 °C, respectively). With sequential sampling in the described EPI implementation, temperature monitoring over a 192×144×135 mm3 FOV with a temporal resolution of 3.6 s was achieved, while keeping the RMSE compared to fully sampled "truth" below 0.35 °C. CONCLUSIONS When segmented EPI readouts are used in conjunction with k-space subsampling for MR thermometry applications, sampling schemes with sequential sampling, with or without variable density sampling, obtain accurate phase and temperature measurements when using a TCR reconstruction algorithm. Improved temperature measurement accuracy can be achieved with variable density sampling. Centric sampling leads to phase bias, resulting in temperature underestimations.
Collapse
Affiliation(s)
- Henrik Odéen
- Department of Physics and Astronomy, University of Utah, Salt Lake City, Utah 84108 and Department of Radiology, University of Utah, Salt Lake City, Utah 84108
| | - Nick Todd
- Department of Radiology, University of Utah, Salt Lake City, Utah 84108
| | - Mahamadou Diakite
- Department of Physics and Astronomy, University of Utah, Salt Lake City, Utah 84108 and Department of Radiology, University of Utah, Salt Lake City, Utah 84108
| | - Emilee Minalga
- Department of Radiology, University of Utah, Salt Lake City, Utah 84108
| | - Allison Payne
- Department of Radiology, University of Utah, Salt Lake City, Utah 84108
| | - Dennis L Parker
- Department of Radiology, University of Utah, Salt Lake City, Utah 84108
| |
Collapse
|
4
|
Le Y, Dale B, Akisik F, Koons K, Lin C. Improved T1, contrast concentration, and pharmacokinetic parameter quantification in the presence of fat with two-point Dixon for dynamic contrast-enhanced magnetic resonance imaging. Magn Reson Med 2015; 75:1677-84. [PMID: 25988338 DOI: 10.1002/mrm.25639] [Citation(s) in RCA: 7] [Impact Index Per Article: 0.8] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/30/2014] [Revised: 01/06/2015] [Accepted: 01/07/2015] [Indexed: 11/06/2022]
Abstract
PURPOSE To evaluate the impact of fat and fat-suppression on the quantification of T1, gadolinium concentration, and pharmacokinetic parameters in DCE-MRI. METHODS T1 values were measured in fat-free phantoms using variable flip angle with no fat suppression, quick or interleaved fat saturation (QFS), or two-point Dixon and were compared with reference values measured with inversion recovery-prepared turbo spin echo. Relaxivity of gadolinium-benzyloxypropionictetraacetate (Gd-BOPTA) was measured in emulsions of Gd-BOPTA solution and fat using Dixon in-phase and water-only images. Liver T1 and pharmacokinetic parameters of 15 patients were calculated from Dixon in-phase and water-only images and were correlated with liver fat signal fraction. RESULTS T1 values measured using Dixon water-only and non-fat-suppressed images matched the reference values; while T1 values measured using QFS showed large deviations. Relaxivities and Gd measured in the Dixon water-only images were less affected by the fat than those measured in the in-phase images. The correlation between liver fat fraction and the differences in measured pharmacokinetic parameters using Dixon in-phase and water-only images were significant (P < 0.05) for T1, K(trans), and incremental area under the curve, but not Ve (P = 0.1). CONCLUSION Dixon water-only images provided more reliable estimation of T1, Gd, and pharmacokinetic parameters when fat was present.
Collapse
Affiliation(s)
- Yuan Le
- Department of Radiology and Imaging Science, Indiana University School of Medicine, Indianapolis, Indiana, USA
| | - Brian Dale
- Siemens Medical Solutions, USA, MR R&D, Morrisville, North Carolina, USA
| | - Fatih Akisik
- Department of Radiology and Imaging Science, Indiana University School of Medicine, Indianapolis, Indiana, USA
| | - Karen Koons
- Department of Radiology, Indiana University Health, Indianapolis, Indiana, USA
| | - Chen Lin
- Department of Radiology and Imaging Science, Indiana University School of Medicine, Indianapolis, Indiana, USA
| |
Collapse
|
5
|
Cooper MA, Nguyen TD, Xu B, Prince MR, Elad M, Wang Y, Spincemaille P. Patch based reconstruction of undersampled data (PROUD) for high signal-to-noise ratio and high frame rate contrast enhanced liver imaging. Magn Reson Med 2014; 74:1587-97. [PMID: 25483782 DOI: 10.1002/mrm.25551] [Citation(s) in RCA: 4] [Impact Index Per Article: 0.4] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/21/2014] [Revised: 11/04/2014] [Accepted: 11/04/2014] [Indexed: 11/08/2022]
Abstract
PURPOSE High spatial-temporal four-dimensional imaging with large volume coverage is necessary to accurately capture and characterize liver lesions. Traditionally, parallel imaging and adapted sampling are used toward this goal, but they typically result in a loss of signal to noise. Furthermore, residual under-sampling artifacts can be temporally varying and complicate the quantitative analysis of contrast enhancement curves needed for pharmacokinetic modeling. We propose to overcome these problems using a novel patch-based regularization approach called Patch-based Reconstruction Of Under-sampled Data (PROUD). THEORY AND METHODS PROUD produces high frame rate image reconstructions by exploiting the strong similarities in spatial patches between successive time frames to overcome the severe k-space under-sampling. To validate PROUD, a numerical liver perfusion phantom was developed to characterize contrast-to-noise ratio (CNR) performance compared with a previously proposed method, TRACER. A second numerical phantom was constructed to evaluate the temporal footprint and lag of PROUD and TRACER reconstructions. Finally, PROUD and TRACER were evaluated in a cohort of five liver donors. RESULTS In the CNR phantom, PROUD, compared with TRACER, improved peak CNR by 3.66 times while maintaining or improving temporal fidelity. In vivo, PROUD demonstrated an average increase in CNR of 60% compared with TRACER. CONCLUSION The results presented in this work demonstrate the feasibility of using a combination of patch based image constraints with temporal regularization to provide high SNR, high temporal frame rate and spatial resolution four dimensional imaging.
Collapse
Affiliation(s)
- Mitchell A Cooper
- Department of Biomedical Engineering, Cornell University, Ithaca, New York, USA.,Department of Radiology, Weill Cornell Medical College, New York, New York, USA
| | - Thanh D Nguyen
- Department of Radiology, Weill Cornell Medical College, New York, New York, USA
| | - Bo Xu
- Department of Biomedical Engineering, Cornell University, Ithaca, New York, USA.,Department of Radiology, Weill Cornell Medical College, New York, New York, USA
| | - Martin R Prince
- Department of Radiology, Weill Cornell Medical College, New York, New York, USA
| | - Michael Elad
- Division of Computer Science, Technion - Israel Institute of Technology, Haifa, Israel
| | - Yi Wang
- Department of Biomedical Engineering, Cornell University, Ithaca, New York, USA.,Department of Radiology, Weill Cornell Medical College, New York, New York, USA
| | - Pascal Spincemaille
- Department of Radiology, Weill Cornell Medical College, New York, New York, USA
| |
Collapse
|
6
|
Guglielmo FF, Mitchell DG, Roth CG, Deshmukh S. Hepatic MR Imaging Techniques, Optimization, and Artifacts. Magn Reson Imaging Clin N Am 2014; 22:263-82. [DOI: 10.1016/j.mric.2014.04.004] [Citation(s) in RCA: 14] [Impact Index Per Article: 1.4] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 02/03/2023]
|
7
|
Le Y, Kipfer H, Majidi S, Holz S, Dale B, Geppert C, Kroeker R, Lin C. Application of time-resolved angiography with stochastic trajectories (twist)-dixon in dynamic contrast-enhanced (dce) breast mri. J Magn Reson Imaging 2013; 38:1033-42. [DOI: 10.1002/jmri.24062] [Citation(s) in RCA: 27] [Impact Index Per Article: 2.5] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/12/2012] [Accepted: 01/10/2013] [Indexed: 11/09/2022] Open
Affiliation(s)
- Yuan Le
- Department of Radiology and Imaging Science; Indiana University School of Medicine; Indianapolis Indiana USA
| | - Hal Kipfer
- Department of Radiology and Imaging Science; Indiana University School of Medicine; Indianapolis Indiana USA
| | - Shadie Majidi
- Department of Radiology and Imaging Science; Indiana University School of Medicine; Indianapolis Indiana USA
| | - Stephanie Holz
- Department of Radiology and Imaging Science; Indiana University School of Medicine; Indianapolis Indiana USA
| | - Brian Dale
- Siemens Medical Solutions; USA, MR R&D, Morrisville North Carolina USA
| | | | | | - Chen Lin
- Department of Radiology and Imaging Science; Indiana University School of Medicine; Indianapolis Indiana USA
| |
Collapse
|
8
|
Hope TA, Saranathan M, Petkovska I, Hargreaves BA, Herfkens RJ, Vasanawala SS. Improvement of gadoxetate arterial phase capture with a high spatio-temporal resolution multiphase three-dimensional SPGR-dixon sequence. J Magn Reson Imaging 2013; 38:938-45. [DOI: 10.1002/jmri.24048] [Citation(s) in RCA: 25] [Impact Index Per Article: 2.3] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/10/2012] [Accepted: 12/18/2012] [Indexed: 12/22/2022] Open
Affiliation(s)
- Thomas A. Hope
- Department of Radiology; Stanford University Medical Center; Stanford California USA
| | - Manojkumar Saranathan
- Department of Radiology; Stanford University Medical Center; Stanford California USA
| | - Iva Petkovska
- Department of Radiology; Stanford University Medical Center; Stanford California USA
| | - Brian A. Hargreaves
- Department of Radiology; Stanford University Medical Center; Stanford California USA
| | - Robert J. Herfkens
- Department of Radiology; Stanford University Medical Center; Stanford California USA
| | - Shreyas S. Vasanawala
- Department of Radiology; Stanford University Medical Center; Stanford California USA
| |
Collapse
|
9
|
Le Y, Kroeker R, Kipfer HD, Lin C. Development and evaluation of TWIST Dixon for dynamic contrast-enhanced (DCE) MRI with improved acquisition efficiency and fat suppression. J Magn Reson Imaging 2012; 36:483-91. [PMID: 22544731 DOI: 10.1002/jmri.23663] [Citation(s) in RCA: 40] [Impact Index Per Article: 3.3] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/31/2011] [Accepted: 03/07/2012] [Indexed: 02/06/2023] Open
Abstract
PURPOSE To develop a new pulse sequence called time-resolved angiography with stochastic trajectories (TWIST) Dixon for dynamic contrast enhanced magnetic resonance imaging (DCE-MRI). MATERIALS AND METHODS The method combines dual-echo Dixon to generate separated water and fat images with a k-space view-sharing scheme developed for 3D TWIST. The performance of TWIST Dixon was compared with a volume interpolated breathhold examination (VIBE) sequence paired with spectrally selective adiabatic inversion Recovery (SPAIR) and quick fat-sat (QFS) fat-suppression techniques at 3.0T using quantitative measurements of fat-suppression accuracy and signal-to-noise ratio (SNR) efficiency, as well as qualitative breast image evaluations. RESULTS The water fraction of a uniform phantom was calculated from the following images: 0.66 ± 0.03 for TWIST Dixon; 0.56 ± 0.23 for VIBE-SPAIR, and 0.53 ± 0.14 for VIBE-QFS, while the reference value is 0.70 measured by spectroscopy. For phantoms with contrast (Gd-BOPTA) concentration ranging from 0-6 mM, TWIST Dixon also provides consistently higher SNR efficiency (3.2-18.9) compared with VIBE-SPAIR (2.8-16.8) and VIBE-QFS (2.4-12.5). Breast images acquired with TWIST Dixon at 3.0T show more robust and uniform fat suppression and superior overall image quality compared with VIBE-SPAIR. CONCLUSION The results from phantom and volunteer evaluation suggest that TWIST Dixon outperforms conventional methods in almost every aspect and it is a promising method for DCE-MRI and contrast-enhanced perfusion MRI, especially at higher field strength where fat suppression is challenging.
Collapse
Affiliation(s)
- Yuan Le
- Department of Radiology and Imaging Science, Indiana University School of Medicine, Indianapolis, IN 46202, USA
| | | | | | | |
Collapse
|
10
|
Saranathan M, Rettmann DW, Hargreaves BA, Clarke SE, Vasanawala SS. DIfferential Subsampling with Cartesian Ordering (DISCO): a high spatio-temporal resolution Dixon imaging sequence for multiphasic contrast enhanced abdominal imaging. J Magn Reson Imaging 2012; 35:1484-92. [PMID: 22334505 DOI: 10.1002/jmri.23602] [Citation(s) in RCA: 106] [Impact Index Per Article: 8.8] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/11/2011] [Accepted: 01/09/2012] [Indexed: 01/03/2023] Open
Abstract
PURPOSE To develop and evaluate a multiphasic contrast-enhanced MRI method called DIfferential Sub-sampling with Cartesian Ordering (DISCO) for abdominal imaging. MATERIALS AND METHODS A three-dimensional, variable density pseudo-random k-space segmentation scheme was developed and combined with a Dixon-based fat-water separation algorithm to generate high temporal resolution images with robust fat suppression and without compromise in spatial resolution or coverage. With institutional review board approval and informed consent, 11 consecutive patients referred for abdominal MRI at 3 Tesla (T) were imaged with both DISCO and a routine clinical three-dimensional SPGR-Dixon (LAVA FLEX) sequence. All images were graded by two radiologists using quality of fat suppression, severity of artifacts, and overall image quality as scoring criteria. For assessment of arterial phase capture efficiency, the number of temporal phases with angiographic phase and hepatic arterial phase was recorded. RESULTS There were no significant differences in quality of fat suppression, artifact severity or overall image quality between DISCO and LAVA FLEX images (P > 0.05, Wilcoxon signed rank test). The angiographic and arterial phases were captured in all 11 patients scanned using the DISCO acquisition (mean number of phases were two and three, respectively). CONCLUSION DISCO effectively captures the fast dynamics of abdominal pathology such as hyperenhancing hepatic lesions with a high spatio-temporal resolution. Typically, 1.1 × 1.5 × 3 mm spatial resolution over 60 slices was achieved with a temporal resolution of 4-5 s.
Collapse
|
11
|
Abstract
Magnetic resonance imaging is frequently used in the workup of various renal pathologies. In daily clinical practice, these studies are mainly performed on 1.5-T magnetic resonance systems. However, the potential benefits of going to higher field strengths include higher signal-to-noise ratios, faster imaging, and better spatial resolution. As of now, few studies have been performed in the kidneys at 3 T because of the limited availability and the prevalence of signal voids, susceptibility artifacts, incomplete fat suppression, and specific absorption rate problems. In the last couple of years, however, a number of technical advances have been made to overcome these problems and allow renal imaging to be performed at 3 T. This review article aimed to provide an overview of the current clinical status of renal imaging at 3 T. We will discuss both anatomical and functional imaging of the kidneys, with some special focus on perfusion imaging.
Collapse
|
12
|
Wile GE, Leyendecker JR. Magnetic resonance imaging of the liver: sequence optimization and artifacts. Magn Reson Imaging Clin N Am 2011; 18:525-47, xi. [PMID: 21094454 DOI: 10.1016/j.mric.2010.07.010] [Citation(s) in RCA: 24] [Impact Index Per Article: 1.8] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 02/08/2023]
Abstract
The liver is one of the most challenging organs of the body to image with magnetic resonance because it is large and mobile, receives a dual blood supply, and is surrounded by organs and structures that contribute to artifacts from flow and susceptibility. Recent advances in imaging hardware, in addition to improvements in temporal resolution and development of hepatocyte-specific contrast agents, make imaging of the liver more approachable than in the past; however, it remains a complex process that requires compromise. In this article the authors discuss development and optimization of a liver imaging protocol at 1.5 T, with common variations in each element of the protocol, as well as the strengths and weaknesses associated with the relevant sequences.
Collapse
Affiliation(s)
- Geoffrey E Wile
- Body Imaging Section, Department of Radiology, Vanderbilt University Medical Center, 1161 21st Avenue South, Nashville, TN 37232, USA.
| | | |
Collapse
|
13
|
Gadolinium-Enhanced Liver Magnetic Resonance Imaging Using a 2-Point Dixon Fat-Water Separation Technique. J Comput Assist Tomogr 2011; 35:96-101. [DOI: 10.1097/rct.0b013e3181f3d57e] [Citation(s) in RCA: 20] [Impact Index Per Article: 1.5] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 12/18/2022]
|