The DOI matches its Crossref record; 109 of the 109 references it cites were found in a registry or an index.
Quantitative imaging of intrinsic magnetic tissue properties using MRI signal phase: An approach to in vivo brain iron metabolism?
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Citations
Cites
Scale-space and edge detection using anisotropic diffusion
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Fast robust automated brain extraction
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Brain magnetic resonance imaging with contrast dependent on blood oxygenation.
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LSQR: An Algorithm for Sparse Linear Equations and Sparse Least Squares
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Magnetic Resonance Imaging: Physical Principles and Sequence Design
Brown, R. W., Cheng, Y. N., Haacke, E. M., Thompson, M. R., & Venkatesan, R. (2014) · doi:10.1002/9781118633953 · Cited by 2,688
The ferritins: molecular properties, iron storage function and cellular regulation
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“Non-heme iron is predominantly found in a mineralized form (ferrihydrite) associated with the iron storage protein ferritin and its breakdown product, hemosiderin (Harrison and Arosio, 1996; Schenck and Zimmerman, 2004).”
BackgroundDiffusion tensor MR imaging of the human brain
Pierpaoli, C., Jezzard, P., Basser, P. J., Barnett, A., & Di Chiro, G. (1996) · Radiology · doi:10.1148/radiology.201.3.8939209 · Cited by 2,664
Introduction to Inverse Problems in Imaging
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Cited by
Quantitative susceptibility mapping (QSM): Decoding MRI data for a tissue magnetic biomarker
Wang, Y., & Liu, T. (2015) · Magnetic Resonance in Medicine · doi:10.1002/mrm.25358 · Cited by 878
Langkammer, C., Schweser, F., Krebs, N., Deistung, A., Goessler, W., Scheurer, E., Sommer, K., Reishofer, G., Yen, K., Fazekas, F., et al. (2012) · NeuroImage · doi:10.1016/j.neuroimage.2012.05.049 · Cited by 801
Self-citationQuantitative susceptibility mapping of human brain reflects spatial variation in tissue composition
Li, W., Wu, B., & Liu, C. (2011) · NeuroImage · doi:10.1016/j.neuroimage.2010.11.088 · Cited by 624
Quantitative susceptibility mapping: current status and future directions
Haacke, E. M., Liu, S., Buch, S., Zheng, W., Wu, D., & Ye, Y. (2015) · Magnetic Resonance Imaging · doi:10.1016/j.mri.2014.09.004 · Cited by 511
Liu, C., Li, W., Tong, K. A., Yeom, K. W., & Kuzminski, S. (2015) · Journal of Magnetic Resonance Imaging · doi:10.1002/jmri.24768 · Cited by 503
Metadata
- Authors
- Schweser, F., Deistung, A., Lehr, B. W., & Reichenbach, J. R.
- Venue
- NeuroImage
- Publisher
- Elsevier BV
- Published
- 2011-02
- Volume
- 54
- Issue
- 4
- Pages
- 2789-2807
- ISSN
- 1053-8119 (ISSN-L)
- OpenAlex
- W2072579321
- Cited by
- 710
- References
- 109
- FWCI
- 23.14
- Type
- journal article
- Language
- en
- Open access
- closed
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- CoChat. (2026). Citation check: Quantitative imaging of intrinsic magnetic tissue properties using MRI signal phase: An approach to in vivo brain iron metabolism? https://app.cochat.ai/papers/10.1016/j.neuroimage.2010.10.070
- The paper
- Schweser, F., Deistung, A., Lehr, B. W., & Reichenbach, J. R. (2011). Quantitative imaging of intrinsic magnetic tissue properties using MRI signal phase: An approach to in vivo brain iron metabolism? NeuroImage. https://doi.org/10.1016/j.neuroimage.2010.10.070
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.
