The DOI matches its Crossref record; 34 of the 35 references it cites were found in a registry or an index.
Respiration artifact correction in three-dimensional proton resonance frequency MR thermometry using phase navigators
Open accessAbstract
Purpose: To develop reliable three‐dimensional (3D) segmented echo planar imaging (seg‐EPI) proton resonance frequency (PRF) temperature monitoring in the presence of respiration‐induced B 0 variation. Methods: A free induction decay (FID) phase navigator was inserted into a 3D seg‐EPI sequence before and after EPI readout to monitor B 0 field variations. Using the field change estimates, the phase of each k‐space line was adjusted to remove the additional phase from the respiratory induced off‐resonance. This correction technique was evaluated while heating with MR‐guided focused ultrasound (MRgFUS) in phantoms with simulated breathing and during nonheating conditions in healthy in vivo breasts. Results: With k‐space phase correction, the standard deviation of magnitude images and PRF temperature measurements in breast from five volunteers improved by an average factor of 1.5 and 2.1, respectively. Improved accuracy of temperature estimates was observed after correction while heating with MRgFUS in phantoms. Conclusion: Phase correction based on two FID navigators placed before and after the echo train provides promising results for implementing 3D monitoring of thermal therapy treatments in the presence of field variations due to respiration. Magn Reson Med 76:206–213, 2016. © 2015 Wiley Periodicals, Inc.
Overview
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
Verification
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.
Claims other papers make about this one
Each is checked against this paper’s own text: does it say what the citing paper says it does?
The source backs part of the claim, not all of it — or backs it for a different population, condition or comparison.
In the citing paper
“This is an important caveat because state mindfulness meditation reliably (1) reduces respiration rate and, in parallel, decreases CBF due to lower arterial levels of carbon dioxide60,131 and (2) alters chest movements that cause magnetic field changes, rendering a physiological artifact.112”
From The neural mechanisms of mindfulness-based pain relief: a functional magnetic resonance imaging-based review and primer (2019) · cites this paper as [112]
Experimental — accuracy not yet measured
Self-check
Percentages, sums and reported differences re-computed from the paper’s own numbers.
The self-check needs the paper’s full text.
Citations
Cites
SENSE: Sensitivity encoding for fast MRI
Pruessmann, K. P., Weiger, M., Scheidegger, M. B., & Boesiger, P. (1999) · Magnetic Resonance in Medicine · doi:10.1002/(sici)1522-2594(199911)42:5<849::aid-mrm4>3.0.co;2-z · Cited by 6,375
Generalized autocalibrating partially parallel acquisitions (GRAPPA)
Griswold, M. A., Jakob, P. M., Heidemann, R. M., Nittka, M., Jellús̆, V., Wang, J., Kiefer, B., & Haase, A. (2002) · Magnetic Resonance in Medicine · doi:10.1002/mrm.10171 · Cited by 5,311
A precise and fast temperature mapping using water proton chemical shift
Ishihara, Y., Calderon, A., Watanabe, H., Okamoto, K., Suzuki, Y., Kuroda, K., & Suzuki, Y. (1995) · Magnetic Resonance in Medicine · doi:10.1002/mrm.1910340606 · Cited by 1,027
Adaptive technique for high-definition MR imaging of moving structures.
Ehman, R. L., & Felmlee, J. P. (1989) · Radiology · doi:10.1148/radiology.173.1.2781017 · Cited by 801
Retrospective estimation and correction of physiological fluctuation in functional MRI
Hu, X., Le, T. H., Parrish, T., & Erhard, P. (1995) · Magnetic Resonance in Medicine · doi:10.1002/mrm.1910340211 · Cited by 475
Ex vivo tissue‐type independence in proton‐resonance frequency shift MR thermometry
Peters, R. T. D., Hinks, R. S., & Henkelman, R. M. (1998) · Magnetic Resonance in Medicine · doi:10.1002/mrm.1910400316 · Cited by 320
Reduction of signal fluctuation in functional MRI using navigator echoes
Hu, X. P., & Kim, S. (1994) · Magnetic Resonance in Medicine · doi:10.1002/mrm.1910310505 · Cited by 252
Respiration‐inducedB0fluctuations and their spatial distribution in the human brain at 7 Tesla
de Moortele, P. V., Pfeuffer, J., Glover, G. H., Uǧurbil, K., & Hu, X. P. (2002) · Magnetic Resonance in Medicine · doi:10.1002/mrm.10145 · Cited by 240
Pfeuffer, J., de Moortele, P. V., Uǧurbil, K., Hu, X. P., & Glover, G. H. (2002) · Magnetic Resonance in Medicine · doi:10.1002/mrm.10065 · Cited by 216
Vigen, K. K., Daniel, B. L., Pauly, J. M., & Butts, K. (2003) · Magnetic Resonance in Medicine · doi:10.1002/mrm.10608 · Cited by 176
Research works printed but not linked: 2
- FarrerA de BeverJ CoatsB ChristensonD PayneA. Fabrication and Evaluation of Tissue‐Mimicking Phantoms for Use with MR‐ARFI and MRgFUS. Proceedings of the 14th International Symposium of Therapeutic Ultrasound Las Vegas Nevada USA 2014. p. 232.
- 10.1002/(SICI)1522-2594(199911)42:5<952::AID-MRM16>3.0.CO;2-S · DOI
Cited by
Odéen, H., & Parker, D. L. (2019) · Progress in Nuclear Magnetic Resonance Spectroscopy · doi:10.1016/j.pnmrs.2019.01.003 · Cited by 182
Self-citationZeidan, F., Baumgartner, J. N., & Coghill, R. C. (2019) · PAIN Reports · doi:10.1097/pr9.0000000000000759 · Cited by 115
Bing, C., Staruch, R., Tillander, M., Köhler, M. O., Mougenot, C., Ylihautala, M., Laetsch, T. W., & Chopra, R. (2016) · International Journal of Hyperthermia · doi:10.1080/02656736.2016.1179799 · Cited by 57
Clinical Performance and Future Potential of Magnetic Resonance Thermometry in Hyperthermia
Feddersen, T. V., Hernandez-Tamames, J. A., Franckena, M., van Rhoon, G. C., & Paulides, M. M. (2020) · Cancers · doi:10.3390/cancers13010031 · Cited by 48
Payne, A., Merrill, R., Minalga, E., Hadley, J. R., Odéen, H., Hofstetter, L. W., Johnson, S., de Lara, C. T., Auriol, S., Recco, S., et al. (2020) · IEEE Transactions on Biomedical Engineering · doi:10.1109/tbme.2020.3016206 · Cited by 40
Self-citationSvedin, B. T., Payne, A., Bolster, B. D., & Parker, D. L. (2017) · Magnetic Resonance in Medicine · doi:10.1002/mrm.26797 · Cited by 36
Self-citationRecent technological advancements in thermometry
Kokuryo, D., Kumamoto, E., & Kuroda, K. (2020) · Advanced Drug Delivery Reviews · doi:10.1016/j.addr.2020.11.001 · Cited by 26
Multi‐echo MR thermometry using iterative separation of baseline water and fat images
Poorman, M. E., Braškutė, I., Bartels, L. W., & Grissom, W. A. (2018) · Magnetic Resonance in Medicine · doi:10.1002/mrm.27567 · Cited by 24
Technical advances in motion‐robust MR thermometry
Kim, K. S., Narsinh, K. H., & Ozhinsky, E. (2024) · Magnetic Resonance in Medicine · doi:10.1002/mrm.30057 · Cited by 21
Ferrer, C. J., Bartels, L. W., van der Velden, T. A., Grüll, H., Heijman, E., MOONEN, C. T. W., & Bos, C. (2019) · Magnetic Resonance in Medicine · doi:10.1002/mrm.27985 · Cited by 18
5th International Symposium on Focused Ultrasound
Zaaroor, M., Sinai, A., Goldsher, D., Eran, A., Nassar, M., Schlesinger, I., Parker, J. J., Ravikumar, V. K., Ghanouni, P., Stein, S. C., et al. (2016) · Journal of Therapeutic Ultrasound · doi:10.1186/s40349-016-0076-5 · Cited by 17
Self-citationSvedin, B. T., Payne, A., & Parker, D. L. (2019) · Magnetic Resonance in Medicine · doi:10.1002/mrm.27643 · Cited by 17
Self-citationParker, D. L., Payne, A., & Odéen, H. (2022) · Magnetic Resonance in Medicine · doi:10.1002/mrm.29275 · Cited by 15
Self-citationMultiple‐point magnetic resonance acoustic radiation force imaging
Odéen, H., de Bever, J. T., Hofstetter, L. W., & Parker, D. L. (2018) · Magnetic Resonance in Medicine · doi:10.1002/mrm.27477 · Cited by 16
Self-citationAdams-Tew, S., Johnson, S., Odéen, H., Parker, D. L., & Payne, A. (2022) · Magnetic Resonance Imaging · doi:10.1016/j.mri.2022.12.006 · Cited by 12
Self-citationSvedin, B. T., Dillon, C. R., & Parker, D. L. (2018) · Magnetic Resonance in Medicine · doi:10.1002/mrm.27383 · Cited by 10
Self-citationDillon, C. R., Rieke, V., Ghanouni, P., & Payne, A. (2017) · International Journal of Hyperthermia · doi:10.1080/02656736.2017.1340677 · Cited by 9
Self-citationNon‐Invasive Thermometry with Magnetic Resonance Imaging
Odéen, H., & Parker, D. L. (2018) · doi:10.1002/9781119127420.ch15 · Cited by 7
Self-citationKim, K. S., Diederich, C. J., Narsinh, K. H., & Ozhinsky, E. (2022) · International Journal of Hyperthermia · doi:10.1080/02656736.2022.2151649 · Cited by 5
Dixon‐based B0 self‐navigation in radial stack‐of‐stars multi‐echo gradient echo imaging
Stelter, J., Weiss, K., Wu, M., Raspe, J., Braun, P., Zöllner, C., & Karampinos, D. C. (2024) · Magnetic Resonance in Medicine · doi:10.1002/mrm.30261 · Cited by 4
In vivo image-guided MR thermometry during laser ablation: experience in kidney and liver
Saccomandi, P., Giraudau, C., Davrieux, C. F., Quero, G., Schena, E., Breschi, L., Matteo, F. M. D., Costamagna, G., & Marescaux, J. (2018) · IEEE International Symposium on Medical Measurements and Applications (MeMeA) · doi:10.1109/memea.2018.8438801 · Cited by 4
Faller, T. L., Trotier, A. J., Rousseau, A. F., Franconi, J., Miraux, S., & Ribot, E. J. (2020) · Magnetic Resonance in Medicine · doi:10.1002/mrm.28220 · Cited by 1
Phase‐independent thermometry by Z‐spectrum MR imaging
Scotti, A., Damen, F., Gao, J., Li, W., Liew, C. W., Cai, Z., Zhang, Z., & Cai, K. (2021) · Magnetic Resonance in Medicine · doi:10.1002/mrm.29072 · Cited by 1
Skeletal Manifestations of Late Syphilis.
Datta, A. K., Mitra, B. L., & Ghosh, S. (1965) · PubMed · Cited by 1
MRI for Noninvasive Thermometry
Kardoulaki, E. M., Syms, R. R. A., & YOUNG, I. R. (2016) · Encyclopedia of Magnetic Resonance · doi:10.1002/9780470034590.emrstm1103 · Cited by 1
Svedin, B. T. (2018) · J. Willard Marriott Library · doi:10.26053/0h-1ryx-swg0
Self-citationNon-invasive MR thermometry in liver undergoing laser ablation: multi-parameters analysis
Saccomandi, P., Magnoni, E., Massaroni, C., Giurazza, F., Lopresti, D., & Schena, E. (2018) · IEEE International Symposium on Medical Measurements and Applications (MeMeA) · doi:10.1109/memea.2018.8438637
Magnetic Resonance Thermometry in Oncology
Odéen, H., & Parker, D. L. (2023) · doi:10.1002/9781119799627.ch10
Self-citationAAPM Task Group 333 Report: Quality assurance for MRI‐guided focused ultrasound body systems
Wear, K. A., Parker, D. L., Payne, A., Diederich, C. J., MOONEN, C. T. W., Chen, L., Chen, X., Moore, D., Eames, M. D. C., Bos, C., et al. (2026) · Medical Physics · doi:10.1002/mp.70585
Self-citationBae, E., Oh, S. S., Han, D., Jaroszynski, K. M., Wehrli, F. W., & Lee, H. (2026) · Magnetic Resonance in Medicine · doi:10.1002/mrm.70619
Metadata
- Authors
- Svedin, B. T., Payne, A., & Parker, D. L.
- Affiliations
- University of Utah (US)
- Corresponding author
- Svedin, Bryant T.
- Venue
- Magnetic Resonance in Medicine
- Publisher
- Wiley
- Published
- 2015-08-13
- Volume
- 76
- Issue
- 1
- Pages
- 206-213
- ISSN
- 0740-3194 (ISSN-L)
- 1522-2594
- PMC
- PMC4752934
- OpenAlex
- W1901520622
- Cited by
- 30
- References
- 35
- Citations by year
- 2026: 2 · 2024: 2 · 2023: 1 · 2022: 3 · 2021: 1 · 2020: 4 · 2019: 4 · 2018: 7 · 2017: 2 · 2016: 3
- FWCI
- 3.24
- Type
- journal article
- Language
- en
- Open access
- bronze
- doi.org
- Locations
- Magnetic Resonance in Medicine (publishedVersion)
- PubMed (publishedVersion)
- PubMed Central (acceptedVersion)
- Funders
- National Institutes of Health (R01-CA172787, R01-EB013433)
- Siemens Medical Solutions
- Ben B. and Iris M. Margolis Foundation
- Topics
- Health Sciences › Medicine › Radiology, Nuclear Medicine and Imaging › Advanced MRI Techniques and Applications
- Physical Sciences › Engineering › Biomedical Engineering › Ultrasound and Hyperthermia Applications
- Health Sciences › Medicine › Radiology, Nuclear Medicine and Imaging › Ultrasound Imaging and Elastography
- Keywords
- MR thermometry, free induction decay, MR-guided focused ultrasound, thermal therapy monitoring, off-resonance
- MeSH terms
- Adult, Algorithms, Body Temperature, Breast, Female, Humans, Image Enhancement, Image Interpretation, Computer-Assisted, Middle Aged, Sensitivity and Specificity, Thermography, Reproducibility of Results, Respiratory Mechanics, Artifacts, Echo-Planar Imaging, Imaging, Three-Dimensional, Respiratory-Gated Imaging Techniques, Proton Magnetic Resonance Spectroscopy
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
Data sources
Bibliographic data: Semantic Scholar, OpenAlex, Crossref.
Contains information from the Semantic Scholar Academic Graph Datasets, made available under the ODC Attribution License (ODC-BY 1.0).
Semantic Scholar’s data is described in: Kinney, R., et al. (2023). The Semantic Scholar Open Data Platform. arXiv:2301.10140.
