Improved SENSE imaging using accurate coil sensitivity maps generated by a global magnitude-phase fitting method
Purpose To develop a novel coil sensitivity processing technique that is able to reduce or eliminate aliasing artifacts and noise amplification in image‐domain parallel imaging (i.e., SENSE). Methods Initial coil sensitivity maps were derived from the center k‐space lines by a common self‐calibratio...
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| Published in | Magnetic resonance in medicine Vol. 74; no. 1; pp. 217 - 224 |
|---|---|
| Main Authors | , , , |
| Format | Journal Article |
| Language | English |
| Published |
United States
Blackwell Publishing Ltd
01.07.2015
Wiley Subscription Services, Inc |
| Subjects | |
| Online Access | Get full text |
| ISSN | 0740-3194 1522-2594 1522-2594 |
| DOI | 10.1002/mrm.25375 |
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| Abstract | Purpose
To develop a novel coil sensitivity processing technique that is able to reduce or eliminate aliasing artifacts and noise amplification in image‐domain parallel imaging (i.e., SENSE).
Methods
Initial coil sensitivity maps were derived from the center k‐space lines by a common self‐calibration method. Then continuous trigonometric functions were used to fit both magnitude and phase maps of the self‐calibrated coil sensitivity profile globally. Further, the global fitted coil sensitivity maps were adopted for SENSE reconstruction. Numerical simulations, as well as experiments on phantoms and human subjects were performed to evaluate and compare the effectiveness of this global magnitude‐phase fitting approach with traditional local fitting methods.
Results
Both simulation and experimental results demonstrated that the proposed novel global fitting method was able to obtain accurate coil sensitivity profiles without Gibbs oscillations. The resultant SENSE images were improved substantially in terms of aliasing imaging artifacts.
Conclusion
A global magnitude‐phase fitting method for better estimation of accurate coil sensitivity maps was developed, and it was successfully used in producing high‐quality parallel images. Magn Reson Med 74:217–224, 2015. © 2014 Wiley Periodicals, Inc. |
|---|---|
| AbstractList | Purpose
To develop a novel coil sensitivity processing technique that is able to reduce or eliminate aliasing artifacts and noise amplification in image‐domain parallel imaging (i.e., SENSE).
Methods
Initial coil sensitivity maps were derived from the center k‐space lines by a common self‐calibration method. Then continuous trigonometric functions were used to fit both magnitude and phase maps of the self‐calibrated coil sensitivity profile globally. Further, the global fitted coil sensitivity maps were adopted for SENSE reconstruction. Numerical simulations, as well as experiments on phantoms and human subjects were performed to evaluate and compare the effectiveness of this global magnitude‐phase fitting approach with traditional local fitting methods.
Results
Both simulation and experimental results demonstrated that the proposed novel global fitting method was able to obtain accurate coil sensitivity profiles without Gibbs oscillations. The resultant SENSE images were improved substantially in terms of aliasing imaging artifacts.
Conclusion
A global magnitude‐phase fitting method for better estimation of accurate coil sensitivity maps was developed, and it was successfully used in producing high‐quality parallel images. Magn Reson Med 74:217–224, 2015. © 2014 Wiley Periodicals, Inc. Purpose To develop a novel coil sensitivity processing technique that is able to reduce or eliminate aliasing artifacts and noise amplification in image-domain parallel imaging (i.e., SENSE). Methods Initial coil sensitivity maps were derived from the center k-space lines by a common self-calibration method. Then continuous trigonometric functions were used to fit both magnitude and phase maps of the self-calibrated coil sensitivity profile globally. Further, the global fitted coil sensitivity maps were adopted for SENSE reconstruction. Numerical simulations, as well as experiments on phantoms and human subjects were performed to evaluate and compare the effectiveness of this global magnitude-phase fitting approach with traditional local fitting methods. Results Both simulation and experimental results demonstrated that the proposed novel global fitting method was able to obtain accurate coil sensitivity profiles without Gibbs oscillations. The resultant SENSE images were improved substantially in terms of aliasing imaging artifacts. Conclusion A global magnitude-phase fitting method for better estimation of accurate coil sensitivity maps was developed, and it was successfully used in producing high-quality parallel images. Magn Reson Med 74:217-224, 2015. © 2014 Wiley Periodicals, Inc. Purpose To develop a novel coil sensitivity processing technique that is able to reduce or eliminate aliasing artifacts and noise amplification in image-domain parallel imaging (i.e., SENSE). Methods Initial coil sensitivity maps were derived from the center k-space lines by a common self-calibration method. Then continuous trigonometric functions were used to fit both magnitude and phase maps of the self-calibrated coil sensitivity profile globally. Further, the global fitted coil sensitivity maps were adopted for SENSE reconstruction. Numerical simulations, as well as experiments on phantoms and human subjects were performed to evaluate and compare the effectiveness of this global magnitude-phase fitting approach with traditional local fitting methods. Results Both simulation and experimental results demonstrated that the proposed novel global fitting method was able to obtain accurate coil sensitivity profiles without Gibbs oscillations. The resultant SENSE images were improved substantially in terms of aliasing imaging artifacts. Conclusion A global magnitude-phase fitting method for better estimation of accurate coil sensitivity maps was developed, and it was successfully used in producing high-quality parallel images. Magn Reson Med 74:217-224, 2015. To develop a novel coil sensitivity processing technique that is able to reduce or eliminate aliasing artifacts and noise amplification in image-domain parallel imaging (i.e., SENSE). Initial coil sensitivity maps were derived from the center k-space lines by a common self-calibration method. Then continuous trigonometric functions were used to fit both magnitude and phase maps of the self-calibrated coil sensitivity profile globally. Further, the global fitted coil sensitivity maps were adopted for SENSE reconstruction. Numerical simulations, as well as experiments on phantoms and human subjects were performed to evaluate and compare the effectiveness of this global magnitude-phase fitting approach with traditional local fitting methods. Both simulation and experimental results demonstrated that the proposed novel global fitting method was able to obtain accurate coil sensitivity profiles without Gibbs oscillations. The resultant SENSE images were improved substantially in terms of aliasing imaging artifacts. A global magnitude-phase fitting method for better estimation of accurate coil sensitivity maps was developed, and it was successfully used in producing high-quality parallel images. Magn Reson Med 74:217-224, 2015. © 2014 Wiley Periodicals, Inc. To develop a novel coil sensitivity processing technique that is able to reduce or eliminate aliasing artifacts and noise amplification in image-domain parallel imaging (i.e., SENSE).PURPOSETo develop a novel coil sensitivity processing technique that is able to reduce or eliminate aliasing artifacts and noise amplification in image-domain parallel imaging (i.e., SENSE).Initial coil sensitivity maps were derived from the center k-space lines by a common self-calibration method. Then continuous trigonometric functions were used to fit both magnitude and phase maps of the self-calibrated coil sensitivity profile globally. Further, the global fitted coil sensitivity maps were adopted for SENSE reconstruction. Numerical simulations, as well as experiments on phantoms and human subjects were performed to evaluate and compare the effectiveness of this global magnitude-phase fitting approach with traditional local fitting methods.METHODSInitial coil sensitivity maps were derived from the center k-space lines by a common self-calibration method. Then continuous trigonometric functions were used to fit both magnitude and phase maps of the self-calibrated coil sensitivity profile globally. Further, the global fitted coil sensitivity maps were adopted for SENSE reconstruction. Numerical simulations, as well as experiments on phantoms and human subjects were performed to evaluate and compare the effectiveness of this global magnitude-phase fitting approach with traditional local fitting methods.Both simulation and experimental results demonstrated that the proposed novel global fitting method was able to obtain accurate coil sensitivity profiles without Gibbs oscillations. The resultant SENSE images were improved substantially in terms of aliasing imaging artifacts.RESULTSBoth simulation and experimental results demonstrated that the proposed novel global fitting method was able to obtain accurate coil sensitivity profiles without Gibbs oscillations. The resultant SENSE images were improved substantially in terms of aliasing imaging artifacts.A global magnitude-phase fitting method for better estimation of accurate coil sensitivity maps was developed, and it was successfully used in producing high-quality parallel images. Magn Reson Med 74:217-224, 2015. © 2014 Wiley Periodicals, Inc.CONCLUSIONA global magnitude-phase fitting method for better estimation of accurate coil sensitivity maps was developed, and it was successfully used in producing high-quality parallel images. Magn Reson Med 74:217-224, 2015. © 2014 Wiley Periodicals, Inc. |
| Author | Liu, Wentao Tang, Xin Gao, Jia-Hong Ma, Ya-Jun |
| Author_xml | – sequence: 1 givenname: Ya-Jun surname: Ma fullname: Ma, Ya-Jun organization: Beijing City Key Lab for Medical Physics and Engineering, Institute of Heavy Ion Physics, School of Physics, Peking University, Beijing, China – sequence: 2 givenname: Wentao surname: Liu fullname: Liu, Wentao organization: Beijing City Key Lab for Medical Physics and Engineering, Institute of Heavy Ion Physics, School of Physics, Peking University, Beijing, China – sequence: 3 givenname: Xin surname: Tang fullname: Tang, Xin organization: Beijing City Key Lab for Medical Physics and Engineering, Institute of Heavy Ion Physics, School of Physics, Peking University, Beijing, China – sequence: 4 givenname: Jia-Hong surname: Gao fullname: Gao, Jia-Hong email: jgao@pku.edu.cn organization: Beijing City Key Lab for Medical Physics and Engineering, Institute of Heavy Ion Physics, School of Physics, Peking University, Beijing, China |
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| References | Hoult DI, Lauterbur PC. The sensitivity of the zeugmatographic experiment involving human samples. J Magn Reson 1979;34:425-433. Ying L, Sheng J. Joint image reconstruction and sensitivity estimation in SENSE (JSENSE). Magn Reson Med 2007;57:1196-1202. Uecker M, Hohage T, Block KT, Frahm J. Image reconstruction by regularized nonlinear inversion-joint estimation of coil sensitivities and image content. Magn Reson Med 2008;60:674-682. Bydder M, Larkman DJ, Hajnal JV. Combination of signals from array coils using image-based estimation of coil sensitivity profiles. Magn Reson Med 2002;47:539-548. McKenzie CA, Yeh EN, Ohliger MA, Price MD, Sodickson DK. Self-calibrating parallel imaging with automatic coil sensitivity extraction. Magn Reson Med 2002;47:529-538. Huang F, Chen Y, Yin W, Lin W, Ye X, Guo W, Reykowski A. A rapid and robust numerical algorithm for sensitivity encoding with sparsity constraints: self-feeding sparse SENSE. Magn Reson Med 2010;64:1078-1088. Jørsboe OG, Mejlbro L. The Carleson-Hunt Theorem on Fourier Series. Lecture Notes in Mathematics 911. Berlin, Germany, New York, NY: Springer-Verlag; 1982. Keil B, Blau JN, Biber S, et al. A 64-channel 3T array coil for accelerated brain MRI. Magn Reson Med 2013;70:248-258. Jenkinson M. A fast, automated, N-dimensional phase unwrapping algorithm. Magn Reson Med 2003;49:193-197. Trefethen L. Numerical linear algebra. Philadelphia, PA: SIAM Press; 1997. Liu WT, Tang X, Ma YJ, Gao JH. 3D phase unwrapping using global expected phase as a reference: application to MRI global shimming. Magn Reson Med 2013;70:160-168. Larkman DJ, Nunes RG. Parallel magnetic resonance imaging. Phys Med Biol 2007;52:15-55. Hoult DI, Richards RE. The signal-to-noise ratio of the nuclear magnetic resonance experiment. J Magn Reson 1976;24:71-85. Roemer PB, Edelstein WA, Hayes CE, Souza SP, Mueller OM. The NMR phased array. Magn Reson Med 1990;16:192-225. Pruessmann KP, Weiger M, Scheidegger MB, Bornert P, Boesiger P. Advances in sensitivity encoding with arbitrary k-space trajectories. Magn Reson Med 2001;46:638-651. Uecker M, Lai P, Murphy MJ, Virtue P, Elad M, Pauly JM, Vasanawala SS, Lustig M. ESPIRiT-an eigenvalue approach to autocalibrating parallel MRI: where SENSE meets GRAPPA. Magn Reson Med 2014;71:990-1001. Lee RF, Westgate CR, Weiss RG, Bottomley PA. An analytical SMASH procedure (ASP) for sensitivity-encoded MRI. Magn Reson Med 2000;43:716-725. Pruessmann KP, Weiger M, Scheidegger MB, Boesiger P. SENSE: sensitivity encoding for fast MRI. Magn Reson Med 1999;42:952-962. Lin FH, Chen YJ, Belliveau JW, Wald LL. A wavelet-based approximation of surface coil sensitivity profiles for correction of image intensity inhomogeneity and parallel imaging reconstruction. Hum Brain Mapp 2003;19:96-111. Keil B, Alagappan V, Mareyam A, et al. Size-optimized 32-channel brain arrays for 3 T pediatric imaging. Magn Reson Med 2011;66:1777-1787. Blaimer M, Breuer F, Mueller M, Heidemann RM, Griswold MA, Jakob PM. SMASH, SENSE, PILS, GRAPPA: how to choose the optimal method. Top Magn Reson Imaging 2004;15:223-236. Jakob PM, Griswold MA, Edelman RR, Sodickson DK. AUTO-SMASH: a self-calibrating technique for SMASH imaging. MAGMA 1998;7:4254. 2002; 47 2010; 64 1976; 24 1979; 34 2012 1990; 16 2000; 43 2004; 15 1997 2011; 66 2013; 70 2003; 49 1999; 42 1982 2003; 19 2007; 52 1998; 7 2001; 46 2008; 60 2014; 71 2007; 57 e_1_2_7_6_1 e_1_2_7_5_1 e_1_2_7_4_1 e_1_2_7_3_1 e_1_2_7_9_1 e_1_2_7_8_1 e_1_2_7_7_1 e_1_2_7_18_1 e_1_2_7_17_1 e_1_2_7_16_1 e_1_2_7_2_1 e_1_2_7_15_1 e_1_2_7_14_1 e_1_2_7_13_1 e_1_2_7_24_1 e_1_2_7_12_1 e_1_2_7_23_1 e_1_2_7_11_1 e_1_2_7_22_1 e_1_2_7_21_1 e_1_2_7_20_1 Jørsboe OG (e_1_2_7_19_1) 1982 Jakob PM (e_1_2_7_10_1) 1998; 7 |
| References_xml | – reference: Pruessmann KP, Weiger M, Scheidegger MB, Bornert P, Boesiger P. Advances in sensitivity encoding with arbitrary k-space trajectories. Magn Reson Med 2001;46:638-651. – reference: Uecker M, Lai P, Murphy MJ, Virtue P, Elad M, Pauly JM, Vasanawala SS, Lustig M. ESPIRiT-an eigenvalue approach to autocalibrating parallel MRI: where SENSE meets GRAPPA. Magn Reson Med 2014;71:990-1001. – reference: Bydder M, Larkman DJ, Hajnal JV. Combination of signals from array coils using image-based estimation of coil sensitivity profiles. Magn Reson Med 2002;47:539-548. – reference: Lin FH, Chen YJ, Belliveau JW, Wald LL. A wavelet-based approximation of surface coil sensitivity profiles for correction of image intensity inhomogeneity and parallel imaging reconstruction. Hum Brain Mapp 2003;19:96-111. – reference: Huang F, Chen Y, Yin W, Lin W, Ye X, Guo W, Reykowski A. A rapid and robust numerical algorithm for sensitivity encoding with sparsity constraints: self-feeding sparse SENSE. Magn Reson Med 2010;64:1078-1088. – reference: Keil B, Alagappan V, Mareyam A, et al. Size-optimized 32-channel brain arrays for 3 T pediatric imaging. Magn Reson Med 2011;66:1777-1787. – reference: Larkman DJ, Nunes RG. Parallel magnetic resonance imaging. Phys Med Biol 2007;52:15-55. – reference: Hoult DI, Richards RE. The signal-to-noise ratio of the nuclear magnetic resonance experiment. J Magn Reson 1976;24:71-85. – reference: Uecker M, Hohage T, Block KT, Frahm J. Image reconstruction by regularized nonlinear inversion-joint estimation of coil sensitivities and image content. Magn Reson Med 2008;60:674-682. – reference: Roemer PB, Edelstein WA, Hayes CE, Souza SP, Mueller OM. The NMR phased array. Magn Reson Med 1990;16:192-225. – reference: Jørsboe OG, Mejlbro L. The Carleson-Hunt Theorem on Fourier Series. Lecture Notes in Mathematics 911. 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To develop a novel coil sensitivity processing technique that is able to reduce or eliminate aliasing artifacts and noise amplification in image‐domain... To develop a novel coil sensitivity processing technique that is able to reduce or eliminate aliasing artifacts and noise amplification in image-domain... Purpose To develop a novel coil sensitivity processing technique that is able to reduce or eliminate aliasing artifacts and noise amplification in image-domain... |
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| SubjectTerms | coil sensitivity profile magnitude parallel imaging phase |
| Title | Improved SENSE imaging using accurate coil sensitivity maps generated by a global magnitude-phase fitting method |
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