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Research Output 2009 2020

  • 20 Article
  • 12 Conference contribution
  • 1 Review article
2019

Ultrafast magnetic resonance spectroscopic imaging using SPICE with learned subspaces

Lam, F., Li, Y., Guo, R., Clifford, B. & Liang, Z. P., Jan 1 2019, (Accepted/In press) In : Magnetic Resonance in Medicine. 83, 2, p. 377-390 14 p.

Research output: Contribution to journalArticle

Magnetic Resonance Imaging
Learning
Water
Physics
Brain
2018

Early-life iron deficiency reduces brain iron content and alters brain tissue composition despite iron repletion: A neuroimaging assessment

Mudd, A. T., Fil, J. E., Knight, L. C., Lam, F., Liang, Z. P. & Dilger, R. N., Feb 2018, In : Nutrients. 10, 2, 135.

Research output: Contribution to journalArticle

repletion
Neuroimaging
Swine
Iron
iron

Macromolecule mapping of the brain using ultrashort-TE acquisition and reference-based metabolite removal

Lam, F., Li, Y., Clifford, B. & Liang, Z-P., May 2018, In : Magnetic Resonance in Medicine. 79, 5, p. 2460-2469 10 p.

Research output: Contribution to journalArticle

Brain Mapping
Signal-To-Noise Ratio
Brain
Spectrum Analysis
Magnetic Resonance Imaging

Simultaneous QSM and metabolic imaging of the brain using SPICE

Peng, X., Lam, F., Li, Y., Clifford, B. & Liang, Z-P., Jan 2018, In : Magnetic Resonance in Medicine. 79, 1, p. 13-21 9 p.

Research output: Contribution to journalArticle

Neuroimaging
Water
Architectural Accessibility
Brain
Signal-To-Noise Ratio
2017

A subspace approach to spectral quantification for MR spectroscopic imaging

Li, Y., Lam, F., Clifford, B. & Liang, Z-P., Oct 2017, In : IEEE Transactions on Biomedical Engineering. 64, 10, p. 2486-2489 4 p., 8013142.

Research output: Contribution to journalArticle

Magnetic resonance
Imaging techniques
Parameter estimation
Molecules

High-resolution 1 H-MRSI of the brain using short-TE SPICE

Ma, C., Lam, F., Ning, Q., Johnson, C. L. & Liang, Z. P., Feb 1 2017, In : Magnetic Resonance in Medicine. 77, 2, p. 467-479 13 p.

Research output: Contribution to journalArticle

Brain
Signal-To-Noise Ratio
Lipids
Water
Datasets

High-resolution dynamic 31P-MRSI using a low-rank tensor model

Ma, C., Clifford, B., Liu, Y., Gu, Y., Lam, F., Yu, X. & Liang, Z-P., Aug 2017, In : Magnetic Resonance in Medicine. 78, 2, p. 419-428 10 p.

Research output: Contribution to journalArticle

Computer-Assisted Image Processing

Spectral Quantification for High-Resolution MR Spectroscopic Imaging with Spatiospectral Constraints

Ning, Q., Ma, C., Lam, F. & Liang, Z. P., May 2017, In : IEEE Transactions on Biomedical Engineering. 64, 5, p. 1178-1186 9 p., 7523255.

Research output: Contribution to journalArticle

Magnetic resonance
Imaging techniques
2016

Accelerated High-Dimensional MR Imaging with Sparse Sampling Using Low-Rank Tensors

He, J., Liu, Q., Christodoulou, A. G., Ma, C., Lam, F. & Liang, Z-P., Sep 2016, In : IEEE Transactions on Medical Imaging. 35, 9, p. 2119-2129 11 p., 7451247.

Research output: Contribution to journalArticle

Image reconstruction
Tensors
Computer-Assisted Image Processing
Sampling
Imaging techniques

A fast algorithm for denoising magnitude diffusion-weighted images with rank and edge constraints

Lam, F., Liu, D., Song, Z., Schuff, N. & Liang, Z-P., Jan 1 2016, In : Magnetic Resonance in Medicine. 75, 1, p. 433-440 8 p.

Research output: Contribution to journalArticle

Joints
Hippocampus
Direction compound
Datasets

High-resolution 1 H-MRSI of the brain using SPICE: Data acquisition and image reconstruction

Lam, F., Ma, C., Clifford, B., Johnson, C. L. & Liang, Z-P., Oct 1 2016, In : Magnetic Resonance in Medicine. 76, 4, p. 1059-1070 12 p.

Research output: Contribution to journalArticle

Computer-Assisted Image Processing
Neuroimaging
Echo-Planar Imaging
Brain
Magnetic Resonance Imaging

Image Reconstruction Using Analysis Model Prior

Han, Y., Du, H., Lam, F., Mei, W. & Fang, L., Jan 1 2016, In : Computational and Mathematical Methods in Medicine. 2016, 7571934.

Research output: Contribution to journalArticle

Computer-Assisted Image Processing
Image Reconstruction
Model Analysis
Image reconstruction
Iterative Detection

Improved low-rank filtering of magnetic resonance spectroscopic imaging data corrupted by noise and B 0 field inhomogeneity

Liu, Y., Ma, C., Clifford, B. A., Lam, F., Johnson, C. L. & Liang, Z-P., Apr 1 2016, In : IEEE Transactions on Biomedical Engineering. 63, 4, p. 841-849 9 p., 7239580.

Research output: Contribution to journalArticle

Magnetic resonance
Imaging techniques
Signal to noise ratio
Tissue

Removal of nuisance signals from limited and sparse 1H MRSI data using a union-of-subspaces model

Ma, C., Lam, F., Johnson, C. L. & Liang, Z. P., Feb 1 2016, In : Magnetic Resonance in Medicine. 75, 2, p. 488-497 10 p.

Research output: Contribution to journalArticle

Lipids
Water
Brain
Magnetic Resonance Imaging
Datasets
2015

Accelerated MR parameter mapping with low-rank and sparsity constraints

Zhao, B., Lu, W., Hitchens, T. K., Lam, F., Ho, C. & Liang, Z. P., Aug 1 2015, In : Magnetic Resonance in Medicine. 74, 2, p. 489-498 10 p.

Research output: Contribution to journalArticle

Magnetic Resonance Spectroscopy
Brain Mapping
Joints

Encoding and decoding with prior knowledge: From SLIM to SPICE

Ma, C., Lam, F. & Liang, Z-P., 2015, In : eMagRes. 4, 2, p. 535-542 8 p.

Research output: Contribution to journalReview article

SPICE
Computer-Assisted Image Processing
Decoding
Fourier Analysis
Magnetic Resonance Imaging

Joint estimation of spherical harmonic coefficients from magnitude diffusion-weighted images with sparsity constraints

Lam, F., Zhao, B. & Liang, Z-P., Jul 21 2015, 2015 IEEE 12th International Symposium on Biomedical Imaging, ISBI 2015. IEEE Computer Society, p. 947-950 4 p. 7164027. (Proceedings - International Symposium on Biomedical Imaging; vol. 2015-July).

Research output: Chapter in Book/Report/Conference proceedingConference contribution

Joints
Maximum likelihood estimation
Data structures
Imaging techniques

Maximum likelihood reconstruction for magnetic resonance fingerprinting

Zhao, B., Lam, F., Bilgic, B., Ye, H. & Setsompop, K., Jul 21 2015, 2015 IEEE 12th International Symposium on Biomedical Imaging, ISBI 2015. IEEE Computer Society, p. 905-909 5 p. 7164017. (Proceedings - International Symposium on Biomedical Imaging; vol. 2015-July).

Research output: Chapter in Book/Report/Conference proceedingConference contribution

Magnetic resonance
Maximum likelihood
Magnetic Resonance Spectroscopy
Imaging techniques
2014

A subspace approach to high-resolution spectroscopic imaging

Lam, F. & Liang, Z. P., Apr 2014, In : Magnetic Resonance in Medicine. 71, 4, p. 1349-1357 9 p.

Research output: Contribution to journalArticle

Signal-To-Noise Ratio
Echo-Planar Imaging
Computer-Assisted Image Processing
Magnetic Resonance Imaging
Computer Simulation

Denoising diffusion-weighted magnitude MR images using rank and edge constraints

Lam, F., Babacan, S. D., Haldar, J. P., Weiner, M. W., Schuff, N. & Liang, Z-P., Mar 1 2014, In : Magnetic Resonance in Medicine. 71, 3, p. 1272-1284 13 p.

Research output: Contribution to journalArticle

Noise
Diffusion Tensor Imaging
Signal-To-Noise Ratio
Quality Improvement
Magnetic Resonance Spectroscopy

Field-inhomogeneity-corrected low-rank filtering of magnetic resonance spectroscopic imaging data

Liu, Y., Ma, C., Clifford, B., Lam, F., Johnson, C. L. & Liang, Z-P., Nov 2 2014, 2014 36th Annual International Conference of the IEEE Engineering in Medicine and Biology Society, EMBC 2014. Institute of Electrical and Electronics Engineers Inc., p. 6422-6425 4 p. 6945098. (2014 36th Annual International Conference of the IEEE Engineering in Medicine and Biology Society, EMBC 2014).

Research output: Chapter in Book/Report/Conference proceedingConference contribution

Magnetic resonance
Magnetic Resonance Imaging
Imaging techniques
Signal to noise ratio
Signal-To-Noise Ratio

Improved image reconstruction for subspace-based spectroscopic imaging using non-quadratic regularization

Wu, Z. H., Lam, F., Ma, C. & Liang, Z-P., Nov 2 2014, 2014 36th Annual International Conference of the IEEE Engineering in Medicine and Biology Society, EMBC 2014. Institute of Electrical and Electronics Engineers Inc., p. 2432-2435 4 p. 6944113. (2014 36th Annual International Conference of the IEEE Engineering in Medicine and Biology Society, EMBC 2014).

Research output: Chapter in Book/Report/Conference proceedingConference contribution

Computer-Assisted Image Processing
SPICE
Image reconstruction
Imaging techniques
Datasets

Magnetic resonance image reconstruction from undersampled measurements using a patch-based nonlocal operator

Qu, X., Hou, Y., Lam, F., Guo, D., Zhong, J. & Chen, Z., Aug 2014, In : Medical Image Analysis. 18, 6, p. 843-856 14 p.

Research output: Contribution to journalArticle

Computer-Assisted Image Processing
Magnetic resonance
Image reconstruction
Magnetic resonance imaging
Compressed sensing

Model-based MR parameter mapping with sparsity constraints: Parameter estimation and performance bounds

Zhao, B., Lam, F. & Liang, Z-P., Sep 2014, In : IEEE Transactions on Medical Imaging. 33, 9, p. 1832-1844 13 p., 6813689.

Research output: Contribution to journalArticle

Parameter estimation
Benchmarking
Computer Simulation
Magnetic resonance
Magnetic Resonance Spectroscopy
2013

Magnetic resonance image reconstruction using similarities learnt from multi-modal images

Qu, X., Hou, Y., Lam, F., Guo, D. & Chen, Z., Dec 11 2013, 2013 IEEE China Summit and International Conference on Signal and Information Processing, ChinaSIP 2013 - Proceedings. p. 264-268 5 p. 6625341. (2013 IEEE China Summit and International Conference on Signal and Information Processing, ChinaSIP 2013 - Proceedings).

Research output: Chapter in Book/Report/Conference proceedingConference contribution

Magnetic resonance
Image reconstruction
Compressed sensing
Imaging techniques

Model-based MR parameter mapping with sparsity constraint

Zhao, B., Lam, F., Lu, W. & Liang, Z-P., Aug 22 2013, ISBI 2013 - 2013 IEEE 10th International Symposium on Biomedical Imaging: From Nano to Macro. p. 1-4 4 p. 6556397. (Proceedings - International Symposium on Biomedical Imaging).

Research output: Chapter in Book/Report/Conference proceedingConference contribution

Brain mapping
Parameter estimation
Brain Mapping
Data acquisition
Tissue

Performance analysis of denoising with low-rank and sparsity constraints

Lam, F., Ma, C. & Liang, Z-P., Aug 22 2013, ISBI 2013 - 2013 IEEE 10th International Symposium on Biomedical Imaging: From Nano to Macro. p. 1223-1226 4 p. 6556701. (Proceedings - International Symposium on Biomedical Imaging).

Research output: Chapter in Book/Report/Conference proceedingConference contribution

Noise abatement
Noise
Imaging techniques
Computer simulation
2012

Compressed sensing MR image reconstruction using a motion-compensated reference

Du, H. & Lam, F., Sep 1 2012, In : Magnetic Resonance Imaging. 30, 7, p. 954-963 10 p.

Research output: Contribution to journalArticle

Compressed sensing
Computer-Assisted Image Processing
Image reconstruction
Imaging techniques
Magnetic resonance

Denoising diffusion-weighted MR magnitude image sequences using low rank and edge constraints

Lam, F., Babacan, S. D., Haldar, J. P., Schuff, N. & Liang, Z. P., Aug 15 2012, 2012 9th IEEE International Symposium on Biomedical Imaging: From Nano to Macro, ISBI 2012 - Proceedings. p. 1401-1404 4 p. 6235830. (Proceedings - International Symposium on Biomedical Imaging).

Research output: Chapter in Book/Report/Conference proceedingConference contribution

Joints
Diffusion tensor imaging
Diffusion Tensor Imaging
Imaging techniques

Interventional MRI with sparse sampling using union-of-subspaces

Babacan, S. D., Lam, F., Peng, X., Do, M. N. & Liang, Z-P., Aug 15 2012, 2012 9th IEEE International Symposium on Biomedical Imaging: From Nano to Macro, ISBI 2012 - Proceedings. p. 314-317 4 p. 6235547. (Proceedings - International Symposium on Biomedical Imaging).

Research output: Chapter in Book/Report/Conference proceedingConference contribution

Interventional Magnetic Resonance Imaging
Magnetic resonance imaging
Sampling
Imaging techniques
Magnetic resonance
2011

Motion compensation for reference-constrained image reconstruction from limited data

Lam, F., Haldar, J. P. & Liang, Z-P., Nov 2 2011, 2011 8th IEEE International Symposium on Biomedical Imaging: From Nano to Macro, ISBI'11. p. 73-76 4 p. 5872357. (Proceedings - International Symposium on Biomedical Imaging).

Research output: Chapter in Book/Report/Conference proceedingConference contribution

Computer-Assisted Image Processing
Motion compensation
Image reconstruction
Image registration
Image resolution

Reference-driven MR image reconstruction with sparsity and support constraints

Peng, X., Du, H. Q., Lam, F., Babacan, S. D. & Liang, Z-P., 2011, 2011 8th IEEE International Symposium on Biomedical Imaging: From Nano to Macro, ISBI'11. p. 89-92 4 p. 5872361

Research output: Chapter in Book/Report/Conference proceedingConference contribution

Computer-Assisted Image Processing
Image reconstruction
Imaging techniques
Harmonic functions
Compressed sensing
2009

Real-time cardiac MRI using prior spatial-spectral information

Brinegar, C., Zhang, H., Wu, Y. J. L., Foley, L. M., Hitchens, T. K., Ye, Q., Pocci, D., Lam, F., Ho, C. & Liang, Z-P., Jan 1 2009, Proceedings of the 31st Annual International Conference of the IEEE Engineering in Medicine and Biology Society: Engineering the Future of Biomedicine, EMBC 2009. IEEE Computer Society, p. 4383-4386 4 p. 5333482. (Proceedings of the 31st Annual International Conference of the IEEE Engineering in Medicine and Biology Society: Engineering the Future of Biomedicine, EMBC 2009).

Research output: Chapter in Book/Report/Conference proceedingConference contribution

Magnetic resonance imaging
Imaging techniques
Artifacts
Electrocardiography
Respiration