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What does the future hold for MR imaging?.

Journal of magnetic resonance imaging : JMRI

Duerk JL.
PMID: 1802154
J Magn Reson Imaging. 1991 May-Jun;1(3):391-2. doi: 10.1002/jmri.1880010319.

No abstract available.

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Duerk JL. What does the future hold for MR imaging?. J Magn Reson Imaging. 1991;1(3):391-2doi: 10.1002/jmri.1880010319.
Duerk, J. L. (1991). What does the future hold for MR imaging?. Journal of magnetic resonance imaging : JMRI, 1(3), 391-2. https://doi.org/10.1002/jmri.1880010319
Duerk, J L. "What does the future hold for MR imaging?." Journal of magnetic resonance imaging : JMRI vol. 1,3 (1991): 391-2. doi: https://doi.org/10.1002/jmri.1880010319
Duerk JL. What does the future hold for MR imaging?. J Magn Reson Imaging. 1991 May-Jun;1(3):391-2. doi: 10.1002/jmri.1880010319. PMID: 1802154.
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Milestones in magnetic resonance: 'a new method of measuring nuclear magnetic moment' . 1938.

Journal of magnetic resonance imaging : JMRI

Rabi II, Zacharias JR, Millman S, Kusch P.
PMID: 1562763
J Magn Reson Imaging. 1992 Mar-Apr;2(2):131-3. doi: 10.1002/jmri.1880020203.

No abstract available.

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Rabi II, Zacharias JR, Millman S, et al. Milestones in magnetic resonance: 'a new method of measuring nuclear magnetic moment' . 1938. J Magn Reson Imaging. 1992;2(2):131-3doi: 10.1002/jmri.1880020203.
Rabi, I. I., Zacharias, J. R., Millman, S., & Kusch, P. (1992). Milestones in magnetic resonance: 'a new method of measuring nuclear magnetic moment' . 1938. Journal of magnetic resonance imaging : JMRI, 2(2), 131-3. https://doi.org/10.1002/jmri.1880020203
Rabi, I I, et al. "Milestones in magnetic resonance: 'a new method of measuring nuclear magnetic moment' . 1938." Journal of magnetic resonance imaging : JMRI vol. 2,2 (1992): 131-3. doi: https://doi.org/10.1002/jmri.1880020203
Rabi II, Zacharias JR, Millman S, Kusch P. Milestones in magnetic resonance: 'a new method of measuring nuclear magnetic moment' . 1938. J Magn Reson Imaging. 1992 Mar-Apr;2(2):131-3. doi: 10.1002/jmri.1880020203. PMID: 1562763.
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Key personnel.

Journal of magnetic resonance imaging : JMRI

[No authors listed]
PMID: 10581515
J Magn Reson Imaging. 1999 Dec;10(6):981.

No abstract available.

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Key personnel. J Magn Reson Imaging. 1999;10(6):981
(1999). Key personnel. Journal of magnetic resonance imaging : JMRI, 10(6), 981.
"Key personnel." Journal of magnetic resonance imaging : JMRI vol. 10,6 (1999): 981.
Key personnel. J Magn Reson Imaging. 1999 Dec;10(6):981. PMID: 10581515.
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Repeatability, reproducibility, and accuracy of quantitative mri of the breast in the community radiology setting.

Journal of magnetic resonance imaging : JMRI

Sorace AG, Wu C, Barnes SL, Jarrett AM, Avery S, Patt D, Goodgame B, Luci JJ, Kang H, Abramson RG, Yankeelov TE, Virostko J.
PMID: 29570895
J Magn Reson Imaging. 2018 Mar 23; doi: 10.1002/jmri.26011. Epub 2018 Mar 23.

BACKGROUND: Quantitative diffusion-weighted MRI (DW-MRI) and dynamic contrast-enhanced MRI (DCE-MRI) have the potential to impact patient care by providing noninvasive biological information in breast cancer.PURPOSE/HYPOTHESIS: To quantify the repeatability, reproducibility, and accuracy of apparent diffusion coefficient (ADC) and TSTUDY...

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Sorace AG, Wu C, Barnes SL, et al. Repeatability, reproducibility, and accuracy of quantitative mri of the breast in the community radiology setting. J Magn Reson Imaging. 2018;doi: 10.1002/jmri.26011.
Sorace, A. G., Wu, C., Barnes, S. L., Jarrett, A. M., Avery, S., Patt, D., Goodgame, B., Luci, J. J., Kang, H., Abramson, R. G., Yankeelov, T. E., & Virostko, J. (2018). Repeatability, reproducibility, and accuracy of quantitative mri of the breast in the community radiology setting. Journal of magnetic resonance imaging : JMRI, . https://doi.org/10.1002/jmri.26011
Sorace, Anna G, et al. "Repeatability, reproducibility, and accuracy of quantitative mri of the breast in the community radiology setting." Journal of magnetic resonance imaging : JMRI vol. (2018). doi: https://doi.org/10.1002/jmri.26011
Sorace AG, Wu C, Barnes SL, Jarrett AM, Avery S, Patt D, Goodgame B, Luci JJ, Kang H, Abramson RG, Yankeelov TE, Virostko J. Repeatability, reproducibility, and accuracy of quantitative mri of the breast in the community radiology setting. J Magn Reson Imaging. 2018 Mar 23; doi: 10.1002/jmri.26011. Epub 2018 Mar 23. PMID: 29570895; PMCID: PMC6151298.
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Novel radiomic signature as a prognostic biomarker for locally advanced rectal cancer.

Journal of magnetic resonance imaging : JMRI

Meng Y, Zhang Y, Dong D, Li C, Liang X, Zhang C, Wan L, Zhao X, Xu K, Zhou C, Tian J, Zhang H.
PMID: 29437271
J Magn Reson Imaging. 2018 Feb 13; doi: 10.1002/jmri.25968. Epub 2018 Feb 13.

BACKGROUND: Locally advanced rectal cancer (LARC) patient stratification by clinicoradiologic factors may yield variable results. Therefore, more efficient prognostic biomarkers are needed for improved risk stratification of LARC patients, personalized treatment, and prognostication.PURPOSE/HYPOTHESIS: To compare the ability of a...

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Meng Y, Zhang Y, Dong D, et al. Novel radiomic signature as a prognostic biomarker for locally advanced rectal cancer. J Magn Reson Imaging. 2018;doi: 10.1002/jmri.25968.
Meng, Y., Zhang, Y., Dong, D., Li, C., Liang, X., Zhang, C., Wan, L., Zhao, X., Xu, K., Zhou, C., Tian, J., & Zhang, H. (2018). Novel radiomic signature as a prognostic biomarker for locally advanced rectal cancer. Journal of magnetic resonance imaging : JMRI, . https://doi.org/10.1002/jmri.25968
Meng, Yankai, et al. "Novel radiomic signature as a prognostic biomarker for locally advanced rectal cancer." Journal of magnetic resonance imaging : JMRI vol. (2018). doi: https://doi.org/10.1002/jmri.25968
Meng Y, Zhang Y, Dong D, Li C, Liang X, Zhang C, Wan L, Zhao X, Xu K, Zhou C, Tian J, Zhang H. Novel radiomic signature as a prognostic biomarker for locally advanced rectal cancer. J Magn Reson Imaging. 2018 Feb 13; doi: 10.1002/jmri.25968. Epub 2018 Feb 13. PMID: 29437271.
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High temporal resolution motion estimation using a self-navigated simultaneous multi-slice echo planar imaging acquisition.

Journal of magnetic resonance imaging : JMRI

Teruel JR, Kuperman JM, Dale AM, White NS.
PMID: 29437252
J Magn Reson Imaging. 2018 Feb 13; doi: 10.1002/jmri.25953. Epub 2018 Feb 13.

BACKGROUND: Subject motion is known to produce spurious covariance among time-series in functional connectivity that has been reported to induce distance-dependent spurious correlations.PURPOSE: To present a feasibility study for applying the extended Kalman filter (EKF) framework for high temporal...

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Teruel JR, Kuperman JM, Dale AM, et al. High temporal resolution motion estimation using a self-navigated simultaneous multi-slice echo planar imaging acquisition. J Magn Reson Imaging. 2018;doi: 10.1002/jmri.25953.
Teruel, J. R., Kuperman, J. M., Dale, A. M., & White, N. S. (2018). High temporal resolution motion estimation using a self-navigated simultaneous multi-slice echo planar imaging acquisition. Journal of magnetic resonance imaging : JMRI, . https://doi.org/10.1002/jmri.25953
Teruel, Jose R, et al. "High temporal resolution motion estimation using a self-navigated simultaneous multi-slice echo planar imaging acquisition." Journal of magnetic resonance imaging : JMRI vol. (2018). doi: https://doi.org/10.1002/jmri.25953
Teruel JR, Kuperman JM, Dale AM, White NS. High temporal resolution motion estimation using a self-navigated simultaneous multi-slice echo planar imaging acquisition. J Magn Reson Imaging. 2018 Feb 13; doi: 10.1002/jmri.25953. Epub 2018 Feb 13. PMID: 29437252; PMCID: PMC6153080.
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Whole brain white matter histogram analysis of diffusion tensor imaging data detects microstructural damage in mild cognitive impairment and alzheimer's disease patients.

Journal of magnetic resonance imaging : JMRI

Giulietti G, Torso M, Serra L, Spanò B, Marra C, Caltagirone C, Cercignani M, Bozzali M.
PMID: 29356183
J Magn Reson Imaging. 2018 Jan 21; doi: 10.1002/jmri.25947. Epub 2018 Jan 21.

BACKGROUND: Amnestic mild cognitive impairment (MCI) is a transitional stage between normal aging and Alzheimer's disease (AD). However, the clinical conversion from MCI to AD is unpredictable. Hence, identification of noninvasive biomarkers able to detect early changes induced by...

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Giulietti G, Torso M, Serra L, et al. Whole brain white matter histogram analysis of diffusion tensor imaging data detects microstructural damage in mild cognitive impairment and alzheimer's disease patients. J Magn Reson Imaging. 2018;doi: 10.1002/jmri.25947.
Giulietti, G., Torso, M., Serra, L., Spanò, B., Marra, C., Caltagirone, C., Cercignani, M., Bozzali, M. (2018). Whole brain white matter histogram analysis of diffusion tensor imaging data detects microstructural damage in mild cognitive impairment and alzheimer's disease patients. Journal of magnetic resonance imaging : JMRI, . https://doi.org/10.1002/jmri.25947
Giulietti, Giovanni, et al. "Whole brain white matter histogram analysis of diffusion tensor imaging data detects microstructural damage in mild cognitive impairment and alzheimer's disease patients." Journal of magnetic resonance imaging : JMRI vol. (2018). doi: https://doi.org/10.1002/jmri.25947
Giulietti G, Torso M, Serra L, Spanò B, Marra C, Caltagirone C, Cercignani M, Bozzali M. Whole brain white matter histogram analysis of diffusion tensor imaging data detects microstructural damage in mild cognitive impairment and alzheimer's disease patients. J Magn Reson Imaging. 2018 Jan 21; doi: 10.1002/jmri.25947. Epub 2018 Jan 21. PMID: 29356183.
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Editorial for "MRI-Based Multiple Instance Convolutional Neural Network (MICNN) for Increased Accuracy in the Differentiation of Borderline and Malignant Epithelial Ovarian Tumors".

Journal of magnetic resonance imaging : JMRI

Loukas C, L Kelekis N.
PMID: 34851547
J Magn Reson Imaging. 2021 Dec 01; doi: 10.1002/jmri.28014. Epub 2021 Dec 01.

No abstract available.

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Loukas C, L Kelekis N. Editorial for "MRI-Based Multiple Instance Convolutional Neural Network (MICNN) for Increased Accuracy in the Differentiation of Borderline and Malignant Epithelial Ovarian Tumors". J Magn Reson Imaging. 2021;doi: 10.1002/jmri.28014.
Loukas, C., & L Kelekis, N. (2021). Editorial for "MRI-Based Multiple Instance Convolutional Neural Network (MICNN) for Increased Accuracy in the Differentiation of Borderline and Malignant Epithelial Ovarian Tumors". Journal of magnetic resonance imaging : JMRI, . https://doi.org/10.1002/jmri.28014
Loukas, Constantinos, and L Kelekis, Nikolaos. "Editorial for "MRI-Based Multiple Instance Convolutional Neural Network (MICNN) for Increased Accuracy in the Differentiation of Borderline and Malignant Epithelial Ovarian Tumors"." Journal of magnetic resonance imaging : JMRI vol. (2021). doi: https://doi.org/10.1002/jmri.28014
Loukas C, L Kelekis N. Editorial for "MRI-Based Multiple Instance Convolutional Neural Network (MICNN) for Increased Accuracy in the Differentiation of Borderline and Malignant Epithelial Ovarian Tumors". J Magn Reson Imaging. 2021 Dec 01; doi: 10.1002/jmri.28014. Epub 2021 Dec 01. PMID: 34851547.
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Multi-Site Concordance of Diffusion-Weighted Imaging Quantification for Assessing Prostate Cancer Aggressiveness.

Journal of magnetic resonance imaging : JMRI

McGarry SD, Brehler M, Bukowy JD, Lowman AK, Bobholz SA, Duenweg SR, Banerjee A, Hurrell SL, Malyarenko D, Chenevert TL, Cao Y, Li Y, You D, Fedorov A, Bell LC, Quarles CC, Prah MA, Schmainda KM, Taouli B, LoCastro E, Mazaheri Y, Shukla-Dave A, Yankeelov TE, Hormuth DA, Madhuranthakam AJ, Hulsey K, Li K, Huang W, Huang W, Muzi M, Jacobs MA, Solaiyappan M, Hectors S, Antic T, Paner GP, Palangmonthip W, Jacobsohn K, Hohenwalter M, Duvnjak P, Griffin M, See W, Nevalainen MT, Iczkowski KA, LaViolette PS.
PMID: 34767682
J Magn Reson Imaging. 2021 Nov 12; doi: 10.1002/jmri.27983. Epub 2021 Nov 12.

BACKGROUND: Diffusion-weighted imaging (DWI) is commonly used to detect prostate cancer, and a major clinical challenge is differentiating aggressive from indolent disease.PURPOSE: To compare 14 site-specific parametric fitting implementations applied to the same dataset of whole-mount pathologically validated DWI...

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McGarry SD, Brehler M, Bukowy JD, et al. Multi-Site Concordance of Diffusion-Weighted Imaging Quantification for Assessing Prostate Cancer Aggressiveness. J Magn Reson Imaging. 2021;doi: 10.1002/jmri.27983.
McGarry, S. D., Brehler, M., Bukowy, J. D., Lowman, A. K., Bobholz, S. A., Duenweg, S. R., Banerjee, A., Hurrell, S. L., Malyarenko, D., Chenevert, T. L., Cao, Y., Li, Y., You, D., Fedorov, A., Bell, L. C., Quarles, C. C., Prah, M. A., Schmainda, K. M., Taouli, B., LoCastro, E., Mazaheri, Y., Shukla-Dave, A., Yankeelov, T. E., Hormuth, D. A., Madhuranthakam, A. J., Hulsey, K., Li, K., Huang, W., Huang, W., Muzi, M., Jacobs, M. A., Solaiyappan, M., Hectors, S., Antic, T., Paner, G. P., Palangmonthip, W., Jacobsohn, K., Hohenwalter, M., Duvnjak, P., Griffin, M., See, W., Nevalainen, M. T., Iczkowski, K. A., & LaViolette, P. S. (2021). Multi-Site Concordance of Diffusion-Weighted Imaging Quantification for Assessing Prostate Cancer Aggressiveness. Journal of magnetic resonance imaging : JMRI, . https://doi.org/10.1002/jmri.27983
McGarry, Sean D, et al. "Multi-Site Concordance of Diffusion-Weighted Imaging Quantification for Assessing Prostate Cancer Aggressiveness." Journal of magnetic resonance imaging : JMRI vol. (2021). doi: https://doi.org/10.1002/jmri.27983
McGarry SD, Brehler M, Bukowy JD, Lowman AK, Bobholz SA, Duenweg SR, Banerjee A, Hurrell SL, Malyarenko D, Chenevert TL, Cao Y, Li Y, You D, Fedorov A, Bell LC, Quarles CC, Prah MA, Schmainda KM, Taouli B, LoCastro E, Mazaheri Y, Shukla-Dave A, Yankeelov TE, Hormuth DA, Madhuranthakam AJ, Hulsey K, Li K, Huang W, Huang W, Muzi M, Jacobs MA, Solaiyappan M, Hectors S, Antic T, Paner GP, Palangmonthip W, Jacobsohn K, Hohenwalter M, Duvnjak P, Griffin M, See W, Nevalainen MT, Iczkowski KA, LaViolette PS. Multi-Site Concordance of Diffusion-Weighted Imaging Quantification for Assessing Prostate Cancer Aggressiveness. J Magn Reson Imaging. 2021 Nov 12; doi: 10.1002/jmri.27983. Epub 2021 Nov 12. PMID: 34767682.
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Severity of Intracranial Large Artery Disease Correlates With Cerebral Small Vessel Disease.

Journal of magnetic resonance imaging : JMRI

Wang XY, Lyu JH, Zhang SH, Duan CH, Duan Q, Ma XX, Zhang TY, Zhang J, Tian CL, Lou X.
PMID: 34797007
J Magn Reson Imaging. 2021 Nov 19; doi: 10.1002/jmri.28004. Epub 2021 Nov 19.

BACKGROUND: Small vessel disease (SVD) shares common vascular risk factors with large artery disease (LAD). However, little is known about the relationship between intracranial artery stenosis and SVD burden.PURPOSE: To investigate whether SVD burden correlates with severity of intracranial...

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Wang XY, Lyu JH, Zhang SH, et al. Severity of Intracranial Large Artery Disease Correlates With Cerebral Small Vessel Disease. J Magn Reson Imaging. 2021;doi: 10.1002/jmri.28004.
Wang, X. Y., Lyu, J. H., Zhang, S. H., Duan, C. H., Duan, Q., Ma, X. X., Zhang, T. Y., Zhang, J., Tian, C. L., & Lou, X. (2021). Severity of Intracranial Large Artery Disease Correlates With Cerebral Small Vessel Disease. Journal of magnetic resonance imaging : JMRI, . https://doi.org/10.1002/jmri.28004
Wang, Xue-Yang, et al. "Severity of Intracranial Large Artery Disease Correlates With Cerebral Small Vessel Disease." Journal of magnetic resonance imaging : JMRI vol. (2021). doi: https://doi.org/10.1002/jmri.28004
Wang XY, Lyu JH, Zhang SH, Duan CH, Duan Q, Ma XX, Zhang TY, Zhang J, Tian CL, Lou X. Severity of Intracranial Large Artery Disease Correlates With Cerebral Small Vessel Disease. J Magn Reson Imaging. 2021 Nov 19; doi: 10.1002/jmri.28004. Epub 2021 Nov 19. PMID: 34797007.
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Inflammation in Remote Myocardium and Left Ventricular Remodeling After Acute Myocardial Infarction: A Pilot Study Using T2 Mapping.

Journal of magnetic resonance imaging : JMRI

Yang MX, Shi K, Xu HY, He Y, Ma M, Zhang L, Wang JL, Li XS, Fu C, Li H, Zhou B, Zhou XY, Yang Z, Guo YK, Yang ZG.
PMID: 34245075
J Magn Reson Imaging. 2021 Jul 09; doi: 10.1002/jmri.27827. Epub 2021 Jul 09.

BACKGROUND: The pathophysiological changes in the remote myocardium after acute myocardial infarction (MI) remains less understood.PURPOSE: To assess the inflammation in the remote myocardium post-MI and its association with left ventricular (LV) remodeling using T2 mapping.STUDY TYPE: Prospective.ANIMAL MODEL...

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Yang MX, Shi K, Xu HY, et al. Inflammation in Remote Myocardium and Left Ventricular Remodeling After Acute Myocardial Infarction: A Pilot Study Using T2 Mapping. J Magn Reson Imaging. 2021;doi: 10.1002/jmri.27827.
Yang, M. X., Shi, K., Xu, H. Y., He, Y., Ma, M., Zhang, L., Wang, J. L., Li, X. S., Fu, C., Li, H., Zhou, B., Zhou, X. Y., Yang, Z., Guo, Y. K., & Yang, Z. G. (2021). Inflammation in Remote Myocardium and Left Ventricular Remodeling After Acute Myocardial Infarction: A Pilot Study Using T2 Mapping. Journal of magnetic resonance imaging : JMRI, . https://doi.org/10.1002/jmri.27827
Yang, Meng-Xi, et al. "Inflammation in Remote Myocardium and Left Ventricular Remodeling After Acute Myocardial Infarction: A Pilot Study Using T2 Mapping." Journal of magnetic resonance imaging : JMRI vol. (2021). doi: https://doi.org/10.1002/jmri.27827
Yang MX, Shi K, Xu HY, He Y, Ma M, Zhang L, Wang JL, Li XS, Fu C, Li H, Zhou B, Zhou XY, Yang Z, Guo YK, Yang ZG. Inflammation in Remote Myocardium and Left Ventricular Remodeling After Acute Myocardial Infarction: A Pilot Study Using T2 Mapping. J Magn Reson Imaging. 2021 Jul 09; doi: 10.1002/jmri.27827. Epub 2021 Jul 09. PMID: 34245075.
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Longitudinal Changes in Left Ventricular Blood Flow Kinetic Energy After Myocardial Infarction: Predictive Relevance for Cardiac Remodeling.

Journal of magnetic resonance imaging : JMRI

Ben-Arzi H, Das A, Kelly C, van der Geest RJ, Plein S, Dall'Armellina E.
PMID: 34854151
J Magn Reson Imaging. 2021 Dec 02; doi: 10.1002/jmri.28015. Epub 2021 Dec 02.

BACKGROUND: Four-dimensional (4D) flow cardiac magnetic resonance (cardiac MR) imaging provides quantification of intracavity left ventricular (LV) flow kinetic energy (KE) parameters in three dimensions. ST-elevation myocardial infarction (STEMI) patients have been shown to have altered intracardiac blood flow...

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Ben-Arzi H, Das A, Kelly C, et al. Longitudinal Changes in Left Ventricular Blood Flow Kinetic Energy After Myocardial Infarction: Predictive Relevance for Cardiac Remodeling. J Magn Reson Imaging. 2021;doi: 10.1002/jmri.28015.
Ben-Arzi, H., Das, A., Kelly, C., van der Geest, R. J., Plein, S., & Dall'Armellina, E. (2021). Longitudinal Changes in Left Ventricular Blood Flow Kinetic Energy After Myocardial Infarction: Predictive Relevance for Cardiac Remodeling. Journal of magnetic resonance imaging : JMRI, . https://doi.org/10.1002/jmri.28015
Ben-Arzi, Hadar, et al. "Longitudinal Changes in Left Ventricular Blood Flow Kinetic Energy After Myocardial Infarction: Predictive Relevance for Cardiac Remodeling." Journal of magnetic resonance imaging : JMRI vol. (2021). doi: https://doi.org/10.1002/jmri.28015
Ben-Arzi H, Das A, Kelly C, van der Geest RJ, Plein S, Dall'Armellina E. Longitudinal Changes in Left Ventricular Blood Flow Kinetic Energy After Myocardial Infarction: Predictive Relevance for Cardiac Remodeling. J Magn Reson Imaging. 2021 Dec 02; doi: 10.1002/jmri.28015. Epub 2021 Dec 02. PMID: 34854151.
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Showing 1 to 12 of 520 entries