Real-time adaptive sequential design for optimal acquisition of arterial spin labeling MRI data
An optimal sampling schedule strategy based on the Fisher information matrix and the D‐optimality criterion has previously been proposed as a formal framework for optimizing inversion time scheduling for multi‐inversion‐time arterial spin labeling experiments. Optimal sampling schedule possesses the...
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| Published in | Magnetic resonance in medicine Vol. 64; no. 1; pp. 203 - 210 |
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| Main Authors | , , , , |
| Format | Journal Article |
| Language | English |
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Hoboken
Wiley Subscription Services, Inc., A Wiley Company
01.07.2010
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| Online Access | Get full text |
| ISSN | 0740-3194 1522-2594 1522-2594 |
| DOI | 10.1002/mrm.22398 |
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| Abstract | An optimal sampling schedule strategy based on the Fisher information matrix and the D‐optimality criterion has previously been proposed as a formal framework for optimizing inversion time scheduling for multi‐inversion‐time arterial spin labeling experiments. Optimal sampling schedule possesses the primary advantage of improving parameter estimation precision but requires a priori estimation of plausible parameter distributions that may not be available in all situations. An adaptive sequential design approach addresses this issue by incorporating the optimal sampling schedule strategy into an adaptive process that iteratively updates the parameter estimates and adjusts the optimal sampling schedule accordingly as data are acquired. In this study, the adaptive sequential design method was experimentally implemented with a real‐time feedback scheme on a clinical MRI scanner and was tested in six normal volunteers. Adapted schedules were found to accommodate the intrinsically prolonged arterial transit times in the occipital lobe of the brain. Simulation of applying the adaptive sequential design approach on subjects with pathologically reduced perfusion was also implemented. Simulation results show that the adaptive sequential design approach is capable of incorporating pathologic parameter information into an optimal arterial spin labeling scheduling design within a clinically useful experimental time. Magn Reson Med, 2010. © 2010 Wiley‐Liss, Inc. |
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| AbstractList | An optimal sampling schedule strategy based on the Fisher information matrix and the D-optimality criterion has previously been proposed as a formal framework for optimizing inversion time scheduling for multi-inversion-time arterial spin labeling experiments. Optimal sampling schedule possesses the primary advantage of improving parameter estimation precision but requires a priori estimation of plausible parameter distributions that may not be available in all situations. An adaptive sequential design approach addresses this issue by incorporating the optimal sampling schedule strategy into an adaptive process that iteratively updates the parameter estimates and adjusts the optimal sampling schedule accordingly as data are acquired. In this study, the adaptive sequential design method was experimentally implemented with a real-time feedback scheme on a clinical MRI scanner and was tested in six normal volunteers. Adapted schedules were found to accommodate the intrinsically prolonged arterial transit times in the occipital lobe of the brain. Simulation of applying the adaptive sequential design approach on subjects with pathologically reduced perfusion was also implemented. Simulation results show that the adaptive sequential design approach is capable of incorporating pathologic parameter information into an optimal arterial spin labeling scheduling design within a clinically useful experimental time. Magn Reson Med, 2010. [copy 2010 Wiley-Liss, Inc. An optimal sampling schedule strategy based on the Fisher information matrix and the D-optimality criterion has previously been proposed as a formal framework for optimizing inversion time scheduling for multi-inversion-time arterial spin labeling experiments. Optimal sampling schedule possesses the primary advantage of improving parameter estimation precision but requires a priori estimation of plausible parameter distributions that may not be available in all situations. An adaptive sequential design approach addresses this issue by incorporating the optimal sampling schedule strategy into an adaptive process that iteratively updates the parameter estimates and adjusts the optimal sampling schedule accordingly as data are acquired. In this study, the adaptive sequential design method was experimentally implemented with a real-time feedback scheme on a clinical MRI scanner and was tested in six normal volunteers. Adapted schedules were found to accommodate the intrinsically prolonged arterial transit times in the occipital lobe of the brain. Simulation of applying the adaptive sequential design approach on subjects with pathologically reduced perfusion was also implemented. Simulation results show that the adaptive sequential design approach is capable of incorporating pathologic parameter information into an optimal arterial spin labeling scheduling design within a clinically useful experimental time. An optimal sampling schedule strategy based on the Fisher information matrix and the D-optimality criterion has previously been proposed as a formal framework for optimizing inversion time scheduling for multi-inversion-time arterial spin labeling experiments. Optimal sampling schedule possesses the primary advantage of improving parameter estimation precision but requires a priori estimation of plausible parameter distributions that may not be available in all situations. An adaptive sequential design approach addresses this issue by incorporating the optimal sampling schedule strategy into an adaptive process that iteratively updates the parameter estimates and adjusts the optimal sampling schedule accordingly as data are acquired. In this study, the adaptive sequential design method was experimentally implemented with a real-time feedback scheme on a clinical MRI scanner and was tested in six normal volunteers. Adapted schedules were found to accommodate the intrinsically prolonged arterial transit times in the occipital lobe of the brain. Simulation of applying the adaptive sequential design approach on subjects with pathologically reduced perfusion was also implemented. Simulation results show that the adaptive sequential design approach is capable of incorporating pathologic parameter information into an optimal arterial spin labeling scheduling design within a clinically useful experimental time.An optimal sampling schedule strategy based on the Fisher information matrix and the D-optimality criterion has previously been proposed as a formal framework for optimizing inversion time scheduling for multi-inversion-time arterial spin labeling experiments. Optimal sampling schedule possesses the primary advantage of improving parameter estimation precision but requires a priori estimation of plausible parameter distributions that may not be available in all situations. An adaptive sequential design approach addresses this issue by incorporating the optimal sampling schedule strategy into an adaptive process that iteratively updates the parameter estimates and adjusts the optimal sampling schedule accordingly as data are acquired. In this study, the adaptive sequential design method was experimentally implemented with a real-time feedback scheme on a clinical MRI scanner and was tested in six normal volunteers. Adapted schedules were found to accommodate the intrinsically prolonged arterial transit times in the occipital lobe of the brain. Simulation of applying the adaptive sequential design approach on subjects with pathologically reduced perfusion was also implemented. Simulation results show that the adaptive sequential design approach is capable of incorporating pathologic parameter information into an optimal arterial spin labeling scheduling design within a clinically useful experimental time. An optimal sampling schedule strategy based on the Fisher information matrix and the D‐optimality criterion has previously been proposed as a formal framework for optimizing inversion time scheduling for multi‐inversion‐time arterial spin labeling experiments. Optimal sampling schedule possesses the primary advantage of improving parameter estimation precision but requires a priori estimation of plausible parameter distributions that may not be available in all situations. An adaptive sequential design approach addresses this issue by incorporating the optimal sampling schedule strategy into an adaptive process that iteratively updates the parameter estimates and adjusts the optimal sampling schedule accordingly as data are acquired. In this study, the adaptive sequential design method was experimentally implemented with a real‐time feedback scheme on a clinical MRI scanner and was tested in six normal volunteers. Adapted schedules were found to accommodate the intrinsically prolonged arterial transit times in the occipital lobe of the brain. Simulation of applying the adaptive sequential design approach on subjects with pathologically reduced perfusion was also implemented. Simulation results show that the adaptive sequential design approach is capable of incorporating pathologic parameter information into an optimal arterial spin labeling scheduling design within a clinically useful experimental time. Magn Reson Med, 2010. © 2010 Wiley‐Liss, Inc. |
| Author | Clare, Stuart Xie, Jingyi Jezzard, Peter Gallichan, Daniel Gunn, Roger N. |
| Author_xml | – sequence: 1 givenname: Jingyi surname: Xie fullname: Xie, Jingyi email: jxie@fmrib.ox.ac.uk organization: Centre for Functional Magnetic Resonance Imaging of the Brain, Department of Clinical Neurology, University of Oxford, Oxford, UK – sequence: 2 givenname: Stuart surname: Clare fullname: Clare, Stuart organization: Centre for Functional Magnetic Resonance Imaging of the Brain, Department of Clinical Neurology, University of Oxford, Oxford, UK – sequence: 3 givenname: Daniel surname: Gallichan fullname: Gallichan, Daniel organization: Centre for Functional Magnetic Resonance Imaging of the Brain, Department of Clinical Neurology, University of Oxford, Oxford, UK – sequence: 4 givenname: Roger N. surname: Gunn fullname: Gunn, Roger N. organization: Department of Engineering Science, University of Oxford, Oxford, UK – sequence: 5 givenname: Peter surname: Jezzard fullname: Jezzard, Peter organization: Centre for Functional Magnetic Resonance Imaging of the Brain, Department of Clinical Neurology, University of Oxford, Oxford, UK |
| BackLink | https://www.ncbi.nlm.nih.gov/pubmed/20572144$$D View this record in MEDLINE/PubMed |
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| Cites_doi | 10.1080/01621459.1993.10476305 10.1161/STROKEAHA.107.512319 10.1002/mrm.10559 10.1161/01.STR.31.3.680 10.1002/mrm.21549 10.1017/S0962492900002841 10.1002/mrm.1910390506 10.1259/0007-1285-67-804-1258 10.1002/mrm.1910390602 10.1002/1522-2594(200009)44:3<457::AID-MRM17>3.0.CO;2-R 10.1080/00401706.1989.10488475 10.1002/mrm.20580 |
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| References | Powell MJD. Direct search algorithms for optimization calculations. Acta Numerica 1998; 7: 287-336. Distefano J. Matching the model and the experiment to the goal: data limitations, complexity and optimal experiment design for dynamic systems with biochemical signals. J Cybern Inf Sci 1979; 2: 6-20. Wang J, Alsop DC, Song HK, Maldjian JA, Tang K, Salvucci AE, Detre JA. Arterial transit time imaging with flow encoding arterial spin tagging (FEAST). Magn Reson Med 2003; 50: 599-607. Chaudhuri P, Mykland PA. On efficient designing of nonlinear experiments. Stat Sin 1995; 5: 421-440. Distefano J. Optimized blood sampling protocols and sequential design of kinetic experiments. Am J Physiol 1981; 240: R259-R265. Chalela JA, Alsop DC, Gonzalez-Atavales JB, Maldjian JA, Kasner SE, Detre JA. Magnetic resonance perfusion imaging in acute ischemic stroke using continuous arterial spin labeling. Stroke 2000; 31: 680-687. Xie J, Gallichan D, Gunn RN, Jezzard P. Optimal design of pulsed arterial spin labeling MRI experiments. Magn Reson Med 2008; 59: 826-834. Ford I, Titterington D, Kitsos C. Recent advances in nonlinear experimental design. Technometrics 1989; 31: 49-60. Thesen S, Heid O, Mueller E, Schad LR. Prospective acquisition correction for head motion with image-based tracking for real-time fMRI. Magn Reson Med 2000; 44: 457-465. Buxton RB, Wong EC, Frank LR. Dynamics of blood flow and oxygenation changes during brain activation: the balloon model. Magn Reson Med 1998; 39: 855-864. Redpath TW, Smith FW. Technical note: use of a double inversion recovery pulse sequence to image selectively grey or white brain matter. Br J Radiol 1994; 67: 1258-1263. Chaudhuri P, Mykland PA. Nonlinear experiments: optimal design and inference based on likelihood. J Am Stat Assoc 1993; 88: 538-546. Gunther M, Oshio K, Feinberg DA. Single-shot 3D imaging techniques improve arterial spin labeling perfusion measurements. Magn Reson Med 2005; 54: 491-498. Wintermark M, Albers GW, Alexandrov AV, Alger JR, Bammer R, Baron JC, Davis S, Demaerschalk BM, Derdeyn CP, Donnan GA, Eastwood JD, Fiebach JB, Fisher M, Furie KL, Goldmakher GV, Hacke W, Kidwell CS, Kloska SP, Köhrmann M, Koroshetz W, Lee TY, Lees KR, Lev MH, Liebeskind DS, Ostergaard L, Powers WJ, Provenzale J, Schellinger P, Silbergleit R, Sorensen AG, Wardlaw J, Wu O, Warach S. Acute stroke imaging research roadmap. Stroke 2008; 39: 1621-1628. Wong EC, Buxton RB, Frank LR. Quantitative imaging of perfusion using a single subtraction (QUIPSS and QUIPSS II). Magn Reson Med 1998; 39: 702-708. 1998; 39 1989; 31 1993; 88 1981; 240 2000; 44 2000; 31 2008; 39 1994; 67 2008; 59 2005; 54 1979; 2 1998; 7 2003; 50 1995; 5 e_1_2_7_3_2 e_1_2_7_2_2 e_1_2_7_9_2 e_1_2_7_8_2 e_1_2_7_7_2 e_1_2_7_16_2 e_1_2_7_15_2 e_1_2_7_14_2 e_1_2_7_13_2 e_1_2_7_12_2 e_1_2_7_11_2 e_1_2_7_10_2 Distefano J (e_1_2_7_4_2) 1979; 2 Chaudhuri P (e_1_2_7_5_2) 1995; 5 Distefano J (e_1_2_7_6_2) 1981; 240 |
| References_xml | – reference: Distefano J. Matching the model and the experiment to the goal: data limitations, complexity and optimal experiment design for dynamic systems with biochemical signals. J Cybern Inf Sci 1979; 2: 6-20. – reference: Chaudhuri P, Mykland PA. Nonlinear experiments: optimal design and inference based on likelihood. J Am Stat Assoc 1993; 88: 538-546. – reference: Wang J, Alsop DC, Song HK, Maldjian JA, Tang K, Salvucci AE, Detre JA. Arterial transit time imaging with flow encoding arterial spin tagging (FEAST). Magn Reson Med 2003; 50: 599-607. – reference: Chaudhuri P, Mykland PA. On efficient designing of nonlinear experiments. Stat Sin 1995; 5: 421-440. – reference: Xie J, Gallichan D, Gunn RN, Jezzard P. Optimal design of pulsed arterial spin labeling MRI experiments. Magn Reson Med 2008; 59: 826-834. – reference: Ford I, Titterington D, Kitsos C. Recent advances in nonlinear experimental design. Technometrics 1989; 31: 49-60. – reference: Gunther M, Oshio K, Feinberg DA. Single-shot 3D imaging techniques improve arterial spin labeling perfusion measurements. Magn Reson Med 2005; 54: 491-498. – reference: Chalela JA, Alsop DC, Gonzalez-Atavales JB, Maldjian JA, Kasner SE, Detre JA. Magnetic resonance perfusion imaging in acute ischemic stroke using continuous arterial spin labeling. Stroke 2000; 31: 680-687. – reference: Wintermark M, Albers GW, Alexandrov AV, Alger JR, Bammer R, Baron JC, Davis S, Demaerschalk BM, Derdeyn CP, Donnan GA, Eastwood JD, Fiebach JB, Fisher M, Furie KL, Goldmakher GV, Hacke W, Kidwell CS, Kloska SP, Köhrmann M, Koroshetz W, Lee TY, Lees KR, Lev MH, Liebeskind DS, Ostergaard L, Powers WJ, Provenzale J, Schellinger P, Silbergleit R, Sorensen AG, Wardlaw J, Wu O, Warach S. Acute stroke imaging research roadmap. Stroke 2008; 39: 1621-1628. – reference: Wong EC, Buxton RB, Frank LR. Quantitative imaging of perfusion using a single subtraction (QUIPSS and QUIPSS II). Magn Reson Med 1998; 39: 702-708. – reference: Redpath TW, Smith FW. Technical note: use of a double inversion recovery pulse sequence to image selectively grey or white brain matter. Br J Radiol 1994; 67: 1258-1263. – reference: Buxton RB, Wong EC, Frank LR. Dynamics of blood flow and oxygenation changes during brain activation: the balloon model. Magn Reson Med 1998; 39: 855-864. – reference: Distefano J. Optimized blood sampling protocols and sequential design of kinetic experiments. Am J Physiol 1981; 240: R259-R265. – reference: Powell MJD. Direct search algorithms for optimization calculations. Acta Numerica 1998; 7: 287-336. – reference: Thesen S, Heid O, Mueller E, Schad LR. Prospective acquisition correction for head motion with image-based tracking for real-time fMRI. Magn Reson Med 2000; 44: 457-465. – volume: 39 start-page: 1621 year: 2008 end-page: 1628 article-title: Acute stroke imaging research roadmap publication-title: Stroke – volume: 59 start-page: 826 year: 2008 end-page: 834 article-title: Optimal design of pulsed arterial spin labeling MRI experiments publication-title: Magn Reson Med – volume: 7 start-page: 287 year: 1998 end-page: 336 article-title: Direct search algorithms for optimization calculations publication-title: Acta Numerica – volume: 50 start-page: 599 year: 2003 end-page: 607 article-title: Arterial transit time imaging with flow encoding arterial spin tagging (FEAST) publication-title: Magn Reson Med – volume: 31 start-page: 680 year: 2000 end-page: 687 article-title: Magnetic resonance perfusion imaging in acute ischemic stroke using continuous arterial spin labeling publication-title: Stroke – volume: 54 start-page: 491 year: 2005 end-page: 498 article-title: Single‐shot 3D imaging techniques improve arterial spin labeling perfusion measurements publication-title: Magn Reson Med – volume: 2 start-page: 6 year: 1979 end-page: 20 article-title: Matching the model and the experiment to the goal: data limitations, complexity and optimal experiment design for dynamic systems with biochemical signals publication-title: J Cybern Inf Sci – volume: 31 start-page: 49 year: 1989 end-page: 60 article-title: Recent advances in nonlinear experimental design publication-title: Technometrics – volume: 88 start-page: 538 year: 1993 end-page: 546 article-title: Nonlinear experiments: optimal design and inference based on likelihood publication-title: J Am Stat Assoc – volume: 5 start-page: 421 year: 1995 end-page: 440 article-title: On efficient designing of nonlinear experiments publication-title: Stat Sin – volume: 44 start-page: 457 year: 2000 end-page: 465 article-title: Prospective acquisition correction for head motion with image‐based tracking for real‐time fMRI publication-title: Magn Reson Med – volume: 39 start-page: 855 year: 1998 end-page: 864 article-title: Dynamics of blood flow and oxygenation changes during brain activation: the balloon model publication-title: Magn Reson Med – volume: 240 start-page: R259 year: 1981 end-page: R265 article-title: Optimized blood sampling protocols and sequential design of kinetic experiments publication-title: Am J Physiol – volume: 39 start-page: 702 year: 1998 end-page: 708 article-title: Quantitative imaging of perfusion using a single subtraction (QUIPSS and QUIPSS II) publication-title: Magn Reson Med – volume: 67 start-page: 1258 year: 1994 end-page: 1263 article-title: Technical note: use of a double inversion recovery pulse sequence to image selectively grey or white brain matter publication-title: Br J Radiol – ident: e_1_2_7_8_2 doi: 10.1080/01621459.1993.10476305 – volume: 2 start-page: 6 year: 1979 ident: e_1_2_7_4_2 article-title: Matching the model and the experiment to the goal: data limitations, complexity and optimal experiment design for dynamic systems with biochemical signals publication-title: J Cybern Inf Sci – ident: e_1_2_7_14_2 doi: 10.1161/STROKEAHA.107.512319 – ident: e_1_2_7_11_2 doi: 10.1002/mrm.10559 – ident: e_1_2_7_13_2 doi: 10.1161/01.STR.31.3.680 – ident: e_1_2_7_3_2 doi: 10.1002/mrm.21549 – ident: e_1_2_7_9_2 doi: 10.1017/S0962492900002841 – volume: 5 start-page: 421 year: 1995 ident: e_1_2_7_5_2 article-title: On efficient designing of nonlinear experiments publication-title: Stat Sin – ident: e_1_2_7_10_2 doi: 10.1002/mrm.1910390506 – ident: e_1_2_7_15_2 doi: 10.1259/0007-1285-67-804-1258 – ident: e_1_2_7_2_2 doi: 10.1002/mrm.1910390602 – ident: e_1_2_7_12_2 doi: 10.1002/1522-2594(200009)44:3<457::AID-MRM17>3.0.CO;2-R – volume: 240 start-page: R259 year: 1981 ident: e_1_2_7_6_2 article-title: Optimized blood sampling protocols and sequential design of kinetic experiments publication-title: Am J Physiol – ident: e_1_2_7_7_2 doi: 10.1080/00401706.1989.10488475 – ident: e_1_2_7_16_2 doi: 10.1002/mrm.20580 |
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| StartPage | 203 |
| SubjectTerms | adaptive sequential design Adult Algorithms arterial spin labeling Brain - blood supply Brain - diagnostic imaging Computer Simulation Female Humans Magnetic Resonance Imaging - methods Male Models, Biological MRI optimal design optimal sampling schedule perfusion Radiography Research Design Spin Labels |
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| Title | Real-time adaptive sequential design for optimal acquisition of arterial spin labeling MRI data |
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