Optimization of Pulsed Saturation Transfer MR Fingerprinting (ST MRF) Acquisition Using the Cramér–Rao Bound and Sequential Quadratic Programming

To develop a method for optimizing pulsed saturation transfer MR fingerprinting (ST MRF) acquisition. The Cramér-Rao bound (CRB) for variance assessment was employed on Bloch-McConnell-based simulated signals, followed by a numerical sequential quadratic programming optimization and basin-hopping av...

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Published inMagnetic resonance in medicine
Main Authors Vladimirov, Nikita, Zaiss, Moritz, Perlman, Or
Format Journal Article
LanguageEnglish
Published United States 18.10.2025
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Online AccessGet full text
ISSN0740-3194
1522-2594
1522-2594
DOI10.1002/mrm.70141

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Abstract To develop a method for optimizing pulsed saturation transfer MR fingerprinting (ST MRF) acquisition. The Cramér-Rao bound (CRB) for variance assessment was employed on Bloch-McConnell-based simulated signals, followed by a numerical sequential quadratic programming optimization and basin-hopping avoidance of local minima. Validation was performed using L-arginine phantoms and healthy human volunteers at 3T while restricting the scan time to be less than 40 s. The proposed optimization approach resulted in a significantly improved agreement with reference standard values in vivo, compared to baseline non-optimized protocols (8% lower NRMSE, 7% higher SSIM, and 15% higher Pearson's r value, ). The combination of the CRB with sequential quadratic programming and a rapid Bloch-McConnell simulator offers a means for optimizing and accelerating pulsed CEST and semisolid magnetization transfer (MT) MRF acquisition.
AbstractList To develop a method for optimizing pulsed saturation transfer MR fingerprinting (ST MRF) acquisition.PURPOSETo develop a method for optimizing pulsed saturation transfer MR fingerprinting (ST MRF) acquisition.The Cramér-Rao bound (CRB) for variance assessment was employed on Bloch-McConnell-based simulated signals, followed by a numerical sequential quadratic programming optimization and basin-hopping avoidance of local minima. Validation was performed using L-arginine phantoms and healthy human volunteers at 3T while restricting the scan time to be less than 40 s.METHODSThe Cramér-Rao bound (CRB) for variance assessment was employed on Bloch-McConnell-based simulated signals, followed by a numerical sequential quadratic programming optimization and basin-hopping avoidance of local minima. Validation was performed using L-arginine phantoms and healthy human volunteers at 3T while restricting the scan time to be less than 40 s.The proposed optimization approach resulted in a significantly improved agreement with reference standard values in vivo, compared to baseline non-optimized protocols (8% lower NRMSE, 7% higher SSIM, and 15% higher Pearson's r value, p < 0 . 001 $$ p<0.001 $$ ).RESULTSThe proposed optimization approach resulted in a significantly improved agreement with reference standard values in vivo, compared to baseline non-optimized protocols (8% lower NRMSE, 7% higher SSIM, and 15% higher Pearson's r value, p < 0 . 001 $$ p<0.001 $$ ).The combination of the CRB with sequential quadratic programming and a rapid Bloch-McConnell simulator offers a means for optimizing and accelerating pulsed CEST and semisolid magnetization transfer (MT) MRF acquisition.CONCLUSIONThe combination of the CRB with sequential quadratic programming and a rapid Bloch-McConnell simulator offers a means for optimizing and accelerating pulsed CEST and semisolid magnetization transfer (MT) MRF acquisition.
To develop a method for optimizing pulsed saturation transfer MR fingerprinting (ST MRF) acquisition. The Cramér-Rao bound (CRB) for variance assessment was employed on Bloch-McConnell-based simulated signals, followed by a numerical sequential quadratic programming optimization and basin-hopping avoidance of local minima. Validation was performed using L-arginine phantoms and healthy human volunteers at 3T while restricting the scan time to be less than 40 s. The proposed optimization approach resulted in a significantly improved agreement with reference standard values in vivo, compared to baseline non-optimized protocols (8% lower NRMSE, 7% higher SSIM, and 15% higher Pearson's r value, ). The combination of the CRB with sequential quadratic programming and a rapid Bloch-McConnell simulator offers a means for optimizing and accelerating pulsed CEST and semisolid magnetization transfer (MT) MRF acquisition.
Author Vladimirov, Nikita
Perlman, Or
Zaiss, Moritz
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  fullname: Zaiss, Moritz
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  surname: Perlman
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  organization: School of Biomedical Engineering Tel Aviv University Tel Aviv Israel, Sagol School of Neuroscience Tel Aviv University Tel Aviv Israel
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Cites_doi 10.1038/nature11971
10.1002/mrm.27363
10.1002/mrm.28825
10.1148/rg.210110
10.1073/pnas.0700281104
10.1038/s41598-020-77576-z
10.1002/mrm.30382
10.1038/s41598-023-45548-8
10.1002/nbm.4780
10.1016/j.neuroimage.2016.08.016
10.1002/mrm.26133
10.1016/j.isci.2024.111209
10.1002/mrm.20408
10.1002/jmri.26598
10.1016/j.neuroimage.2019.02.022
10.1007/s00701-025-06465-z
10.1007/s10334-021-00982-5
10.1002/nbm.3237
10.1038/s42254-021-00326-1
10.1002/mrm.26235
10.1158/1078-0432.CCR-16-2265
10.1002/mrm.27937
10.1002/nbm.3257
10.1002/mrm.28298
10.1007/s10334-017-0625-0
10.1002/mrm.30532
10.1016/j.neuroimage.2017.04.045
10.1148/radiol.14140251
10.1002/mrm.29629
10.1002/ana.20202
10.1002/mrm.29241
10.1002/mrm.22761
10.1002/mrm.29074
10.1002/nbm.5294
10.1016/j.neuroimage.2020.117165
10.1088/0031-9155/58/22/R221
10.1021/jp970984n
10.1002/cmmi.1628
10.1002/nbm.4689
10.1016/j.mri.2017.02.010
10.1002/jmri.25159
10.1371/journal.pone.0297244
10.1007/s00216-020-03101-w
10.1002/wnan.1385
10.1002/nbm.4662
10.1017/S0962492900002518
10.1038/s41592-019-0686-2
10.1038/s42005-025-02063-8
10.1007/s10334-025-01242-6
10.1002/mrm.27221
10.1002/nbm.4710
10.1002/mrm.30112
10.1002/mrm.29574
10.1002/mrm.20818
10.1038/s41598-023-48515-5
10.1016/j.neuroimage.2018.12.018
10.1002/mrm.27875
10.3390/ijms24043151
10.1002/mrm.1278
10.3390/tomography8020060
10.1006/jmrb.1995.1111
10.1002/jmri.25838
10.1002/mrm.26813
10.1002/mrm.29206
10.1016/j.neuroimage.2014.06.067
10.1002/mrm.27762
10.1109/TMI.2018.2873704
10.1002/mrm.30241
10.1016/j.neuroimage.2019.01.034
10.1002/nbm.2899
10.1038/s41596-025-01152-w
10.1038/s41551-021-00809-7
10.1038/nm.2615
10.1002/mrm.22406
10.1002/mrm.29448
10.21037/qims.2019.08.06
10.1038/nm907
10.1002/mrm.29173
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Keywords quantitative MRI
MR Fingerprinting
CEST
optimization
MT
Language English
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References e_1_2_9_31_1
e_1_2_9_52_1
e_1_2_9_50_1
e_1_2_9_73_1
e_1_2_9_10_1
e_1_2_9_56_1
e_1_2_9_77_1
e_1_2_9_12_1
e_1_2_9_33_1
e_1_2_9_54_1
e_1_2_9_71_1
Weigand‐Whittier J. (e_1_2_9_24_1) 2024; 93
Kay S. (e_1_2_9_49_1) 1993
e_1_2_9_14_1
e_1_2_9_39_1
e_1_2_9_16_1
e_1_2_9_37_1
e_1_2_9_58_1
Keupp J. (e_1_2_9_63_1) 2011
e_1_2_9_18_1
e_1_2_9_41_1
e_1_2_9_64_1
e_1_2_9_20_1
e_1_2_9_62_1
e_1_2_9_22_1
e_1_2_9_45_1
e_1_2_9_68_1
e_1_2_9_43_1
e_1_2_9_66_1
e_1_2_9_8_1
e_1_2_9_6_1
e_1_2_9_4_1
e_1_2_9_60_1
Nagar D. (e_1_2_9_78_1) 2023; 13
e_1_2_9_2_1
e_1_2_9_26_1
Rivlin M. (e_1_2_9_23_1) 2023; 13
e_1_2_9_28_1
e_1_2_9_47_1
e_1_2_9_30_1
e_1_2_9_53_1
e_1_2_9_74_1
Liebeskind A. (e_1_2_9_81_1) 2025; 38
e_1_2_9_51_1
e_1_2_9_72_1
e_1_2_9_11_1
e_1_2_9_34_1
e_1_2_9_57_1
Finkelstein A. (e_1_2_9_79_1) 2025; 8
e_1_2_9_13_1
e_1_2_9_32_1
e_1_2_9_55_1
e_1_2_9_76_1
e_1_2_9_70_1
Morrison C. (e_1_2_9_75_1) 1995; 108
e_1_2_9_15_1
Shaghaghi M. (e_1_2_9_35_1) 2019; 9
e_1_2_9_38_1
e_1_2_9_17_1
e_1_2_9_36_1
e_1_2_9_59_1
e_1_2_9_19_1
e_1_2_9_42_1
e_1_2_9_40_1
e_1_2_9_61_1
e_1_2_9_21_1
e_1_2_9_46_1
e_1_2_9_67_1
e_1_2_9_44_1
e_1_2_9_65_1
e_1_2_9_7_1
e_1_2_9_80_1
e_1_2_9_5_1
e_1_2_9_3_1
e_1_2_9_9_1
e_1_2_9_25_1
e_1_2_9_27_1
e_1_2_9_48_1
e_1_2_9_69_1
e_1_2_9_29_1
References_xml – ident: e_1_2_9_37_1
  doi: 10.1038/nature11971
– ident: e_1_2_9_40_1
  doi: 10.1002/mrm.27363
– ident: e_1_2_9_54_1
  doi: 10.1002/mrm.28825
– ident: e_1_2_9_72_1
  doi: 10.1148/rg.210110
– ident: e_1_2_9_17_1
  doi: 10.1073/pnas.0700281104
– ident: e_1_2_9_19_1
  doi: 10.1038/s41598-020-77576-z
– volume: 93
  start-page: 1793
  year: 2024
  ident: e_1_2_9_24_1
  article-title: Ungated, Plug‐And‐Play Preclinical Cardiac CEST‐MRI Using Radial FLASH With Segmented Saturation
  publication-title: Magnetic Resonance in Medicine
  doi: 10.1002/mrm.30382
– volume: 13
  start-page: 18291
  issue: 1
  year: 2023
  ident: e_1_2_9_78_1
  article-title: Dynamic and Rapid Deep Synthesis of Chemical Exchange Saturation Transfer and Semisolid Magnetization Transfer MRI Signals
  publication-title: Scientific Reports
  doi: 10.1038/s41598-023-45548-8
– ident: e_1_2_9_14_1
  doi: 10.1002/nbm.4780
– ident: e_1_2_9_74_1
  doi: 10.1016/j.neuroimage.2016.08.016
– ident: e_1_2_9_71_1
  doi: 10.1002/mrm.26133
– ident: e_1_2_9_43_1
  doi: 10.1016/j.isci.2024.111209
– ident: e_1_2_9_36_1
  doi: 10.1002/mrm.20408
– ident: e_1_2_9_29_1
  doi: 10.1002/jmri.26598
– ident: e_1_2_9_11_1
  doi: 10.1016/j.neuroimage.2019.02.022
– ident: e_1_2_9_8_1
  doi: 10.1007/s00701-025-06465-z
– ident: e_1_2_9_22_1
  doi: 10.1007/s10334-021-00982-5
– ident: e_1_2_9_48_1
  doi: 10.1002/nbm.3237
– ident: e_1_2_9_27_1
  doi: 10.1038/s42254-021-00326-1
– ident: e_1_2_9_58_1
  doi: 10.1002/mrm.26235
– ident: e_1_2_9_12_1
  doi: 10.1158/1078-0432.CCR-16-2265
– ident: e_1_2_9_45_1
  doi: 10.1002/mrm.27937
– ident: e_1_2_9_34_1
  doi: 10.1002/nbm.3257
– ident: e_1_2_9_60_1
  doi: 10.1002/mrm.28298
– ident: e_1_2_9_59_1
  doi: 10.1007/s10334-017-0625-0
– ident: e_1_2_9_64_1
  doi: 10.1002/mrm.30532
– ident: e_1_2_9_2_1
  doi: 10.1016/j.neuroimage.2017.04.045
– ident: e_1_2_9_20_1
  doi: 10.1148/radiol.14140251
– ident: e_1_2_9_70_1
  doi: 10.1002/mrm.29629
– volume-title: Fundamentals of Statistical Signal Processing, Volume I: Estimation Theory
  year: 1993
  ident: e_1_2_9_49_1
– ident: e_1_2_9_9_1
  doi: 10.1002/ana.20202
– ident: e_1_2_9_25_1
  doi: 10.1002/mrm.29241
– ident: e_1_2_9_26_1
  doi: 10.1002/mrm.22761
– ident: e_1_2_9_51_1
  doi: 10.1002/mrm.29074
– volume-title: Proceedings of the 19th Annual Meeting of the International Society for Magnetic Resonance in Medicine; Montreal, Canada. Abstract 710. 2011
  year: 2011
  ident: e_1_2_9_63_1
– ident: e_1_2_9_68_1
  doi: 10.1002/nbm.5294
– ident: e_1_2_9_73_1
  doi: 10.1016/j.neuroimage.2020.117165
– ident: e_1_2_9_3_1
  doi: 10.1088/0031-9155/58/22/R221
– ident: e_1_2_9_56_1
  doi: 10.1021/jp970984n
– ident: e_1_2_9_32_1
  doi: 10.1002/cmmi.1628
– ident: e_1_2_9_65_1
  doi: 10.1002/nbm.4689
– ident: e_1_2_9_67_1
  doi: 10.1016/j.mri.2017.02.010
– ident: e_1_2_9_13_1
  doi: 10.1002/jmri.25159
– ident: e_1_2_9_28_1
  doi: 10.1371/journal.pone.0297244
– ident: e_1_2_9_7_1
  doi: 10.1007/s00216-020-03101-w
– ident: e_1_2_9_21_1
  doi: 10.1002/wnan.1385
– ident: e_1_2_9_47_1
  doi: 10.1002/nbm.4662
– ident: e_1_2_9_52_1
  doi: 10.1017/S0962492900002518
– ident: e_1_2_9_61_1
  doi: 10.1038/s41592-019-0686-2
– volume: 8
  issue: 1
  year: 2025
  ident: e_1_2_9_79_1
  article-title: Multi‐Parameter Molecular MRI Quantification Using Physics‐Informed Self‐Supervised Learning
  publication-title: Communications Physics
  doi: 10.1038/s42005-025-02063-8
– volume: 38
  start-page: 1
  year: 2025
  ident: e_1_2_9_81_1
  article-title: The Pulseq‐CEST Library: Definition of Preparations and Simulations, Example Data, and Example Evaluations
  publication-title: Magnetic Resonance Materials in Physics, Biology and Medicine
  doi: 10.1007/s10334-025-01242-6
– ident: e_1_2_9_38_1
  doi: 10.1002/mrm.27221
– ident: e_1_2_9_44_1
  doi: 10.1002/nbm.4710
– ident: e_1_2_9_69_1
  doi: 10.1002/mrm.30112
– ident: e_1_2_9_57_1
  doi: 10.1002/mrm.29574
– ident: e_1_2_9_33_1
  doi: 10.1002/mrm.20818
– volume: 13
  issue: 1
  year: 2023
  ident: e_1_2_9_23_1
  article-title: Metabolic Brain Imaging With Glucosamine CEST MRI: in Vivo Characterization and First Insights
  publication-title: Scientific Reports
  doi: 10.1038/s41598-023-48515-5
– ident: e_1_2_9_18_1
  doi: 10.1016/j.neuroimage.2018.12.018
– ident: e_1_2_9_62_1
  doi: 10.1002/mrm.27875
– ident: e_1_2_9_6_1
  doi: 10.3390/ijms24043151
– ident: e_1_2_9_76_1
  doi: 10.1002/mrm.1278
– ident: e_1_2_9_31_1
  doi: 10.3390/tomography8020060
– volume: 108
  start-page: 103
  issue: 2
  year: 1995
  ident: e_1_2_9_75_1
  article-title: Modeling Magnetization Transfer for Biological‐Like Systems Using a Semi‐Solid Pool With a Super‐Lorentzian Lineshape and Dipolar Reservoir
  publication-title: Journal of Magnetic Resonance. Series B
  doi: 10.1006/jmrb.1995.1111
– ident: e_1_2_9_5_1
  doi: 10.1002/jmri.25838
– ident: e_1_2_9_30_1
  doi: 10.1002/mrm.26813
– ident: e_1_2_9_80_1
  doi: 10.1002/mrm.29206
– ident: e_1_2_9_15_1
  doi: 10.1016/j.neuroimage.2014.06.067
– ident: e_1_2_9_66_1
  doi: 10.1002/mrm.27762
– ident: e_1_2_9_50_1
  doi: 10.1109/TMI.2018.2873704
– ident: e_1_2_9_77_1
  doi: 10.1002/mrm.30241
– ident: e_1_2_9_39_1
  doi: 10.1016/j.neuroimage.2019.01.034
– ident: e_1_2_9_4_1
  doi: 10.1002/nbm.2899
– ident: e_1_2_9_53_1
  doi: 10.1038/s41596-025-01152-w
– ident: e_1_2_9_41_1
  doi: 10.1038/s41551-021-00809-7
– ident: e_1_2_9_16_1
  doi: 10.1038/nm.2615
– ident: e_1_2_9_55_1
  doi: 10.1002/mrm.22406
– ident: e_1_2_9_42_1
  doi: 10.1002/mrm.29448
– volume: 9
  start-page: 1686
  issue: 10
  year: 2019
  ident: e_1_2_9_35_1
  article-title: In Vivo Quantification of Proton Exchange Rate in Healthy Human Brains With Omega Plot
  publication-title: Quantitative Imaging in Medicine and Surgery
  doi: 10.21037/qims.2019.08.06
– ident: e_1_2_9_10_1
  doi: 10.1038/nm907
– ident: e_1_2_9_46_1
  doi: 10.1002/mrm.29173
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Snippet To develop a method for optimizing pulsed saturation transfer MR fingerprinting (ST MRF) acquisition. The Cramér-Rao bound (CRB) for variance assessment was...
To develop a method for optimizing pulsed saturation transfer MR fingerprinting (ST MRF) acquisition.PURPOSETo develop a method for optimizing pulsed...
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Title Optimization of Pulsed Saturation Transfer MR Fingerprinting (ST MRF) Acquisition Using the Cramér–Rao Bound and Sequential Quadratic Programming
URI https://www.ncbi.nlm.nih.gov/pubmed/41108587
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