Pseudocontinuous arterial spin labeling with optimized tagging efficiency
Open accessAbstract
The adiabatic inversion of blood in pseudocontinuous arterial spin labeling (PCASL) is highly sensitive to off‐resonance effects and gradient imperfections and this sensitivity can lead to tagging efficiency loss and unpredictable variations in cerebral blood flow estimates. This efficiency loss is caused by a phase tracking error between the RF pulses and the flowing spins. This article introduces a new method, referred to as Optimized PCASL (OptPCASL), that minimizes the phase tracking error by applying an additional compensation RF phase term and in‐plane gradients to the PCASL pulse train. The optimal RF phase and gradient amplitudes are determined using a prescan procedure, which consists of a series of short scans interleaved with automated postprocessing routines integrated to the scanner console. The prescan procedure is shown to minimize the phase tracking error in a robust and time efficient manner. As an example of its application, the use of OptPCASL for the improved detection of functional activation in the visual cortex is demonstrated and temporal signal‐to‐noise ratio (SNR), image SNR, and baseline cerebral blood flow measures are compared to those acquired from conventional PCASL. Magn Reson Med, 2012. © 2011 Wiley Periodicals, Inc.
The claims and statistics of this paper haven’t been checked yet.
Run the check — free, no account needed. It reads the open-access text and checks the sources it cites.
Integrity signals
Registry
Cites
Statistics
Claims the paper makes
The claims and statistics of this paper haven’t been checked yet.
Run the check — free, no account needed. It reads the open-access text and checks the sources it cites.
Self-check
Percentages, sums and reported differences re-computed from the paper’s own numbers.
The self-check needs the paper’s full text.
Cites
AFNI: Software for analysis and visualization of functional magnetic resonance neuroimages
Cox, R. W. (1996) · Computers and Biomedical Research · doi:10.1006/cbmr.1996.0014 · Cited by 10,913 · see citing works
Detre, J. A., LEIGH, J. S. J., Williams, D. S., & Koretsky, A. P. (1992) · Magnetic Resonance in Medicine · doi:10.1002/mrm.1910230106 · Cited by 1,606 · see citing works
A general kinetic model for quantitative perfusion imaging with arterial spin labeling
Buxton, R. B., Frank, L. R., Wong, E. C., Siewert, B., Warach, S. J., & Edelman, R. R. (1998) · Magnetic Resonance in Medicine · doi:10.1002/mrm.1910400308 · Cited by 1,265 · see citing works
Self-citationMeasurement of signal intensities in the presence of noise in MR images
Henkelman, R. M. (1985) · Medical Physics · doi:10.1118/1.595711 · Cited by 1,021 · see citing works
Dai, W., Garcia, D., de BAZELAIRE, C., & Alsop, D. C. (2008) · Magnetic Resonance in Medicine · doi:10.1002/mrm.21790 · Cited by 986 · see citing works
Determining the longitudinal relaxation time (T1) of blood at 3.0 Tesla
Lu, H., Clingman, C. S., Golay, X., & van Zijl, P. C. M. (2004) · Magnetic Resonance in Medicine · doi:10.1002/mrm.20178 · Cited by 684 · see citing works
Chalela, J. A., Alsop, D. C., Gonzalez-Atavales, J. B., Maldjian, J. A., Kasner, S. E., & Detre, J. A. (2000) · Stroke · doi:10.1161/01.str.31.3.680 · Cited by 481 · see citing works
Vessel‐encoded arterial spin‐labeling using pseudocontinuous tagging
Wong, E. C. (2007) · Magnetic Resonance in Medicine · doi:10.1002/mrm.21293 · Cited by 223 · see citing works
Self-citationA signal processing model for arterial spin labeling functional MRI
Liu, T. T., & Wong, E. C. (2004) · NeuroImage · doi:10.1016/j.neuroimage.2004.09.047 · Cited by 216 · see citing works
Self-citationPerthen, J. E., Lansing, A. E., Liau, J., Liu, T. T., & Buxton, R. B. (2008) · NeuroImage · doi:10.1016/j.neuroimage.2007.10.049 · Cited by 162 · see citing works
Self-citationCaffeine alters the temporal dynamics of the visual BOLD response
Liu, T. T., Behzadi, Y., Restom, K., Uludaǧ, K., Lu, K., Buračas, G. T., Dubowitz, D. J., & Buxton, R. B. (2004) · NeuroImage · doi:10.1016/j.neuroimage.2004.07.061 · Cited by 118 · see citing works
Self-citationIn vivo flow territory mapping of major brain feeding arteries
van Laar, P. J., Hendrikse, J., Golay, X., Lu, H., van Osch, M. J. P., & van der Grond, J. (2005) · NeuroImage · doi:10.1016/j.neuroimage.2005.07.011 · Cited by 109 · see citing works
Jung, Y., Wong, E. C., & Liu, T. T. (2010) · Magnetic Resonance in Medicine · doi:10.1002/mrm.22465 · Cited by 103 · see citing works
Self-citationPhysiological noise reduction for arterial spin labeling functional MRI
Restom, K., Behzadi, Y., & Liu, T. T. (2006) · NeuroImage · doi:10.1016/j.neuroimage.2006.01.026 · Cited by 101 · see citing works
Self-citationConjugate phase MRI reconstruction with spatially variant sample density correction
Noll, D. C., Fessler, J. A., & Sutton, B. P. (2005) · IEEE Transactions on Medical Imaging · doi:10.1109/tmi.2004.842452 · Cited by 95 · see citing works
Jahanian, H., Noll, D. C., & Hernández-García, L. (2011) · NMR in Biomedicine · doi:10.1002/nbm.1675 · Cited by 65 · see citing works
Wu, W., Jiang, S., Yang, S.-C., & Lien, S. (2011) · NeuroImage · doi:10.1016/j.neuroimage.2011.02.080 · Cited by 58 · see citing works
Luh, W., Talagala, S. L., Li, T., et al. (2012) · Magnetic Resonance in Medicine · doi:10.1002/mrm.24266 · Cited by 46 · see citing works
Comparison of Pseudo-continuous and Pulsed Arterial Spin Labeling for fMRI
Luh, W., Wong, E. C., & Bandettini, P. A. (2009) · NeuroImage · doi:10.1016/s1053-8119(09)72060-9 · Cited by 2 · see citing works
Self-citationGlover (2000) · doi:10.1002/1522-2594(200007)44:1
Flagged first, then by citations
Cited by
Sorted by citations
Alsop, D. C., Detre, J. A., Golay, X., Günther, M., Hendrikse, J., Hernández-García, L., Lu, H., MacIntosh, B. J., Parkes, L. M., Smits, M., et al. (2014) · Magnetic Resonance in Medicine · doi:10.1002/mrm.25197 · Cited by 2,218 · see citing works
Self-citationZeidan, F., Emerson, N. M., Farris, S. R., Ray, J. N., Jung, Y., McHaffie, J. G., & Coghill, R. C. (2015) · The Journal of Neuroscience · doi:10.1523/jneurosci.2542-15.2015 · Cited by 369 · see citing works
Self-citationArterial spin labeling for the measurement of cerebral perfusion and angiography
Jezzard, P., Chappell, M. A., & Okell, T. W. (2017) · Journal of Cerebral Blood Flow & Metabolism · doi:10.1177/0271678x17743240 · Cited by 106 · see citing works
An introduction to ASL labeling techniques
Wong, E. C. (2014) · Journal of Magnetic Resonance Imaging · doi:10.1002/jmri.24565 · Cited by 104 · see citing works
Self-citationWierenga, C. E., Dev, S. I., Shin, D. D., Clark, L. R., Bangen, K. J., Jak, A. J., Rissman, R. A., Liu, T. T., Salmon, D. P., & Bondi, M. W. (2012) · Journal of Cerebral Blood Flow & Metabolism · doi:10.1038/jcbfm.2012.58 · Cited by 88 · see citing works
Self-citationAltered Cerebral Perfusion in Executive, Affective, and Motor Networks During Adolescent Depression
Ho, T. C., Wu, J., Shin, D. D., Liu, T. T., Tapert, S. F., Yang, G., Connolly, C. G., Frank, G., Max, J. E., Wolkowitz, O. M., et al. (2013) · Journal of the American Academy of Child & Adolescent Psychiatry · doi:10.1016/j.jaac.2013.07.008 · Cited by 81 · see citing works
Self-citationNeural mechanisms supporting the relationship between dispositional mindfulness and pain
Zeidan, F., Salomons, T., Farris, S. R., Emerson, N. M., Adler-Neal, A., Jung, Y., & Coghill, R. C. (2018) · Pain · doi:10.1097/j.pain.0000000000001344 · Cited by 77 · see citing works
Self-citationCerebrovascular MRI: a review of state‐of‐the‐art approaches, methods and techniques
MacDonald, M. E., & Frayne, R. (2015) · NMR in Biomedicine · doi:10.1002/nbm.3322 · Cited by 63 · see citing works
Comparison of non-invasive MRI measurements of cerebral blood flow in a large multisite cohort
Dolui, S., Wang, Z., Wang, D. J. J., Mattay, R. R., Finkel, M., Elliott, M. A., Desiderio, L. M., Inglis, B. A., Mueller, B. A., Stafford, R. B., et al. (2016) · Journal of Cerebral Blood Flow & Metabolism · doi:10.1177/0271678x16646124 · Cited by 60 · see citing works
Hirschler, L., Debacker, C., Voiron, J., Köhler, S., Warnking, J. M., & Barbier, E. (2017) · Magnetic Resonance in Medicine · doi:10.1002/mrm.26767 · Cited by 58 · see citing works
Zhao, M. Y., Fan, A. P., Chen, D. Y. T., Sokolska, M., Guo, J., Ishii, Y., Shin, D. D., Khalighi, M. M., Holley, D., Halbert, K., et al. (2021) · NeuroImage · doi:10.1016/j.neuroimage.2021.117955 · Cited by 49 · see citing works
Self-citationJuttukonda, M. R., Jordan, L. C., Gindville, M. C., Davis, L. T., Watchmaker, J. M., Pruthi, S., & Donahue, M. J. (2017) · NMR in Biomedicine · doi:10.1002/nbm.3681 · Cited by 46 · see citing works
Intracranial 3D and 4D MR Angiography Using Arterial Spin Labeling: Technical Considerations
Suzuki, Y., Fujima, N., & van Osch, M. J. P. (2019) · Magnetic Resonance in Medical Sciences · doi:10.2463/mrms.rev.2019-0096 · Cited by 39 · see citing works
Brain moderators supporting the relationship between depressive mood and pain
Adler-Neal, A. L., Emerson, N. M., Farris, S. R., Jung, Y., Coghill, R. C., & Zeidan, F. Z. (2019) · Pain · doi:10.1097/j.pain.0000000000001595 · Cited by 33 · see citing works
Self-citationMoradi, F., & Buxton, R. B. (2013) · NeuroImage · doi:10.1016/j.neuroimage.2013.05.110 · Cited by 31 · see citing works
New developments in arterial spin labeling pulse sequences
Wong, E. C. (2013) · NMR in Biomedicine · doi:10.1002/nbm.2954 · Cited by 24 · see citing works
Self-citationFinan, P. H., Hunt, C., Keaser, M. L., Smith, K., Lerman, S. F., Bingham, C. O., Barrett, F. S., Garland, E. L., Zeidan, F. Z., & Seminowicz, D. A. (2024) · Journal of Pain · doi:10.1016/j.jpain.2024.01.343 · Cited by 23 · see citing works
Resting state cerebral blood flow with arterial spin labeling MRI in developing human brains
Liu, F., Duan, Y., Peterson, B. S., Asllani, I., Zelaya, F. O., Lythgoe, D. J., & Kangarlu, A. (2018) · European Journal of Paediatric Neurology · doi:10.1016/j.ejpn.2018.03.003 · Cited by 21 · see citing works
Comparison of velocity‐selective arterial spin labeling schemes
Guo, J., Das, S., & Hernández-García, L. (2020) · Magnetic Resonance in Medicine · doi:10.1002/mrm.28572 · Cited by 18 · see citing works
Courtney, K. E., Baca, R. E., Doran, N., Jacobson, A., Liu, T. T., & Jacobus, J. (2020) · Psychopharmacology · doi:10.1007/s00213-020-05640-7 · Cited by 15 · see citing works
Self-citationWierenga, C. E., Bischoff‐Grethe, A., Rasmusson, G., Bailer, U. F., Berner, L. A., Liu, T. T., & Kaye, W. H. (2017) · Frontiers in Nutrition · doi:10.3389/fnut.2017.00032 · Cited by 14 · see citing works
Self-citationBerry, E. S. K., Jezzard, P., & Okell, T. W. (2019) · NeuroImage · doi:10.1016/j.neuroimage.2019.05.083 · Cited by 14 · see citing works
Chen, D. Y. T., Kuo, Y.-S., Hsu, H. ‐., Yan, F.-X., Liu, H., Chen, C.-J., & Tseng, Y.-C. (2015) · Clinical Radiology · doi:10.1016/j.crad.2015.10.004 · Cited by 11 · see citing works
Dynamic B 0 field shimming for improving pseudo‐continuous arterial spin labeling at 7 T
Ji, Y., Woods, J. G., Li, H., & Okell, T. W. (2024) · Magnetic Resonance in Medicine · doi:10.1002/mrm.30387 · Cited by 10 · see citing works
Han, P. K., Choi, S. H., & Park, S. (2016) · Magnetic Resonance in Medicine · doi:10.1002/mrm.26474 · Cited by 10 · see citing works
Schollenberger, J., Figueroa, C. A., Nielsen, J., & Hernández-García, L. (2019) · Magnetic Resonance in Medicine · doi:10.1002/mrm.27936 · Cited by 10 · see citing works
Defining Hypoperfusion in Chronic Aphasia: An Individualized Thresholding Approach
Abbott, N. T., Baker, C., Chen, C., Liu, T. T., & Love, T. E. (2021) · Brain Sciences · doi:10.3390/brainsci11040491 · Cited by 10 · see citing works
Self-citationChen, C.-Y., Li, C., Mak, H. K., Lin, M.-F., & Chan, W. P. (2019) · Quantitative Imaging in Medicine and Surgery · doi:10.21037/qims.2019.03.10 · Cited by 7 · see citing works
Saïb, G., Koretsky, A. P., & Talagala, S. L. (2021) · Magnetic Resonance in Medicine · doi:10.1002/mrm.29070 · Cited by 6 · see citing works
BOLD fMRI-Based Brain Perfusion Prediction Using Deep Dilated Wide Activation Networks
Xie, D., Li, Y., Yang, H., Song, D., Shang, Y., Ge, Q., Bai, L., & Wang, Z. (2019) · Lecture notes in computer science · doi:10.1007/978-3-030-32692-0_43 · Cited by 5 · see citing works
Neural and Psychological Mechanisms in the Relationship Between Resting Breathing Rate and Pain
Oliva, V. N. L. D. S., Baumgartner, J. N., Farris, S. R., Riegner, G., Khatib, L. A., Jung, Y., Coghill, R. C., & Zeidan, F. Z. (2023) · Mindfulness · doi:10.1007/s12671-023-02176-7 · Cited by 3 · see citing works
Self-citationCourtney, K. E., Baca, R. E., Thompson, C., Andrade, G., Doran, N., Jacobson, A., Liu, T. T., & Jacobus, J. (2023) · Brain Imaging and Behavior · doi:10.1007/s11682-023-00810-5 · Cited by 3 · see citing works
Self-citationWeeks, C. C. H., Zlatar, Z., Meloy, M., Shin, D. D., Thomas, L., & Wierenga, C. (2023) · Journal of Alzheimer's Disease · doi:10.3233/jad-220749 · Cited by 2 · see citing works
Self-citationDynamic B 0 field shimming for improving pseudo-continuous arterial spin labeling at 7 TeslaPreprint
Ji, Y., Woods, J. G., Li, H., & Okell, T. W. (2024) · bioRxiv (Cold Spring Harbor Laboratory) · doi:10.1101/2024.07.22.604544 · Cited by 2 · see citing works
Msayib, Y., Craig, M., Simard, M. A., Larkin, J. R., Shin, D. D., Liu, T. T., Sibson, N. R., Okell, T. W., & Chappell, M. A. (2019) · Magnetic Resonance in Medicine · doi:10.1002/mrm.27965 · Cited by 1 · see citing works
Self-citationLiu, Y., Zeng, X., Wang, Z., Zhang, H., Wang, X. L., & Yuan, H. (2019) · PubMed Central · doi:10.19723/j.issn.1671-167x.2019.02.011 · Cited by 1 · see citing works
MOdulation ‐Guided ENcoding ( MOGEN ) Scheme for Vessel‐Encoded Arterial Spin Labeling
Li, H., Okell, T. W., Woods, J. G., Ji, Y., Suzuki, Y., Qian, T., Liao, Y., Wang, J., Xu, B., Sun, Z., et al. (2026) · Magnetic Resonance in Medicine · doi:10.1002/mrm.70335
- Authors
- Shin, D. D., Liu, T. T., Wong, E. C., Shankaranarayanan, A., & Jung, Y.
- Affiliations
- University of California San Diego (US)
- Corresponding author
- Shin, David D.
- Jung, Youngkyoo
- Venue
- Magnetic Resonance in Medicine
- Publisher
- Wiley
- Published
- 2012-01-03
- Volume
- 68
- Issue
- 4
- Pages
- 1135-1144
- ISSN
- 0740-3194 (ISSN-L)
- 1522-2594
- PMC
- PMC3345172
- OpenAlex
- W1975559674
- Cited by
- 37
- References
- 19
- Citations by year
- 2026: 1 · 2024: 3 · 2023: 3 · 2021: 3 · 2020: 2 · 2019: 8 · 2018: 2 · 2017: 4 · 2016: 2 · 2015: 3 · 2014: 2 · 2013: 3 · 2012: 1
- FWCI
- 2.17
- Type
- journal article
- Language
- en
- Open access
- bronze
- doi.org
- Locations
- Magnetic Resonance in Medicine (publishedVersion)
- PubMed (publishedVersion)
- Europe PMC (PubMed Central) (acceptedVersion)
- PubMed Central (acceptedVersion)
- Funders
- National Institutes of Health (1R01MH084796)
- Research grant support from General Electric Healthcare
- Topics
- Health Sciences › Medicine › Radiology, Nuclear Medicine and Imaging › Advanced MRI Techniques and Applications
- Physical Sciences › Physics and Astronomy › Nuclear and High Energy Physics › NMR spectroscopy and applications
- Health Sciences › Medicine › Radiology, Nuclear Medicine and Imaging › Advanced Neuroimaging Techniques and Applications
- Keywords
- pseudo-continuous arterial spin labeling, tagging efficiency, adiabatic inversion, cerebral blood flow, visual cortex activation, temporal signal-to-noise ratio
- MeSH terms
- Adult, Algorithms, Brain Mapping, Cerebrovascular Circulation, Evoked Potentials, Visual, Female, Humans, Image Enhancement, Image Interpretation, Computer-Assisted, Male, Sensitivity and Specificity, Spin Labels, Visual Cortex, Reproducibility of Results, Magnetic Resonance Angiography
About these checks
Registry, retraction, Cites and statistics results are computed, not judged, with one exception: a printed reference that no index lists is read once by a model before it counts as a citation error. Claims are extracted by a model and kept only when their quote appears verbatim in the text; each cited source is then checked, with a model’s help, for whether it says what the claim relies on. Those verdicts can be wrong — read the claim’s quote and the cited source before relying on one.
Statistics and arithmetic are recomputed, not judged.
Confidence bands are shown only for fields calibrated on our annotated test set. None is calibrated yet, so no band is shown.
What counts as a claim ›How we measure confidence ›How we check this ›
Are you an author, or do you see a problem with this page? Request a review