The DOI matches its Crossref record; 19 of the 19 references it cites were found in a registry or an index.
Improved diffusion‐weighted single‐shot echo‐planar imaging (EPI) in stroke using sensitivity encoding (SENSE)
Open accessAbstract
Diffusion‐weighted single‐shot EPI (sshEPI) is one of the most important tools for the diagnostic assessment of stroke patients, but it suffers from well known artifacts. Therefore, sshEPI was combined with SENSitivity Encoding (SENSE) to further increase EPI's potential for stroke imaging. Eight healthy volunteers and a consecutive series of patients (N = 8) with suspected stroke were examined with diffusion‐weighted SENSE‐sshEPI using different reduction factors (1.0 ≤ R ≤ 3.0). Additionally, a high‐resolution diffusion‐weighted SENSE‐sshEPI scan was included. All examinations were diagnostic and of better quality than conventional sshEPI. No ghostings or aliasing artifacts were discernible, and EPI‐related image distortions were markedly diminished. Chemical shift artifacts and eddy current‐induced image warping were still present, although to a markedly smaller extent. Measured direction‐dependent diffusion‐coefficients and isotropic diffusion values were comparable to previous findings but showed less fluctuation. We have demonstrated the technical feasibility and clinical applicability of diffusion‐weighted SENSE‐sshEPI in patients with subacute stroke. Because of the faster k‐space traversal, this novel technique is able to reduce typical EPI artifacts and increase spatial resolution while simultaneously remaining insensitive to bulk motion. Magn Reson Med 46:548–554, 2001. © 2001 Wiley‐Liss, 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.
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<952::aid-mrm16>3.0.co;2-s · Cited by 6,251
Self-citationDiffusion 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
Simultaneous acquisition of spatial harmonics (SMASH): Fast imaging with radiofrequency coil arrays
Sodickson, D. K., & Manning, W. J. (1997) · Magnetic Resonance in Medicine · doi:10.1002/mrm.1910380414 · Cited by 2,142
Water diffusion compartmentation and anisotropy at high b values in the human brain
Clark, C. A., & Le Bihan, D. (2000) · Magnetic Resonance in Medicine · doi:10.1002/1522-2594(200012)44:6<852::aid-mrm5>3.0.co;2-a · Cited by 426
Automated 3-D registration of MR and CT images of the head
Studholme, C., Hill, D. L. G., & Hawkes, D. J. (1996) · Medical Image Analysis · doi:10.1016/s1361-8415(96)80011-9 · Cited by 374
Farzaneh, F., Riederer, S. J., & Pelc, N. J. (1990) · Magnetic Resonance in Medicine · doi:10.1002/mrm.1910140112 · Cited by 362
Partially parallel imaging with localized sensitivities (PILS)
Griswold, M. A., Jakob, P. M., Nittka, M., Goldfarb, J. W., & Haase, A. (2000) · Magnetic Resonance in Medicine · doi:10.1002/1522-2594(200010)44:4<602::aid-mrm14>3.0.co;2-5 · Cited by 329
Comparison of diffusion-weighted MRI and CT in acute stroke
Lansberg, M. G., Albers, G. W., Beaulieu, C., & Marks, M. P. (2000) · Neurology · doi:10.1212/wnl.54.8.1557 · Cited by 299
Bammer, R., Augustin, M., Strasser-Fuchs, S., Seifert, T., Kapeller, P., Stollberger, R., Ebner, F., Hartung, H.-P., & Fazekas, F. (2000) · Magnetic Resonance in Medicine · doi:10.1002/1522-2594(200010)44:4<583::aid-mrm12>3.0.co;2-o · Cited by 268
Self-citationDiffusion‐weighted interleaved echo‐planar imaging with a pair of orthogonal navigator echoes
Butts, K., de Crespigny, A., Pauly, J. M., & Moseley, M. (1996) · Magnetic Resonance in Medicine · doi:10.1002/mrm.1910350518 · Cited by 244
Contrast-enhanced 3D MRA using SENSE
Weiger, M., Pruessmann, K. P., Kassner, A., Roditi, G., Lawton, T., Reid, A., & Boesiger, P. (2000) · Journal of Magnetic Resonance Imaging · doi:10.1002/1522-2586(200011)12:5<671::aid-jmri3>3.0.co;2-f · Cited by 224
Self-citationCardiac real-time imaging using SENSE
Weiger, M., Pruessmann, K. P., & Boesiger, P. (2000) · Magnetic Resonance in Medicine · doi:10.1002/(sici)1522-2594(200002)43:2<177::aid-mrm3>3.0.co;2-1 · Cited by 198
Self-citationFast imaging using subencoding data sets from multiple detectors
Ra, J. B., & Rim, C. Y. (1993) · Magnetic Resonance in Medicine · doi:10.1002/mrm.1910300123 · Cited by 163
Butts, K., Pauly, J., De Crespigny, A., & Moseley, M. (1997) · Magnetic Resonance in Medicine · doi:10.1002/mrm.1910380510 · Cited by 160
Yield of diffusion-weighted MRI for detection of potentially relevant findings in stroke patients
Albers, G. W., Lansberg, M. G., Norbash, A., Tong, D., O’Brien, M. W., Woolfenden, A. R., Marks, M. P., & Moseley, M. E. (2000) · Neurology · doi:10.1212/wnl.54.8.1562 · Cited by 118
Atkinson, D., Porter, D. A., Hill, D., Calamante, F., & Connelly, A. (2000) · Magnetic Resonance in Medicine · Cited by 113
Bammer, R., Stollberger, R., Augustin, M., Simbrunner, J., Offenbacher, H., Kooijman, H., Ropele, S., Kapeller, P., Wach, P., Ebner, F., et al. (1999) · Radiology · doi:10.1148/radiology.211.3.r99jn15799 · Cited by 104
Self-citationMagnetic resonance imaging of diffusion and perfusion
Most-ley, M. E., Wendland, M. F., & Kucharczyk, J. R. (1991) · Topics in Magnetic Resonance Imaging · doi:10.1097/00002142-199106000-00008 · Cited by 103
Augustin, M., Bammer, R., Simbrunner, J., Stollberger, R., Hartung, H., & Fazekas, F. (2000) · PubMed · Cited by 45
Self-citation
Cited by
Looking into the functional architecture of the brain with diffusion MRI.
Le Bihan, D. (2003) · Nature Reviews Neuroscience · doi:10.1038/nrn1119 · Cited by 1,571
Basic principles of diffusion-weighted imaging
Bammer, R. (2003) · European Journal of Radiology · doi:10.1016/s0720-048x(02)00303-0 · Cited by 851
Self-citationPorter, D. A., & Heidemann, R. M. (2009) · Magnetic Resonance in Medicine · doi:10.1002/mrm.22024 · Cited by 593
Taouli, B., Vilgrain, V., Dumont, E., Daire, J.-L., Fan, B., & Menu, Y. (2003) · Radiology · doi:10.1148/radiol.2261011904 · Cited by 577
Diffusion MRI at 25: exploring brain tissue structure and function
Le Bihan, D., & Johansen-Berg, H. (2012) · NeuroImage · doi:10.1016/j.neuroimage.2011.11.006 · Cited by 498
Metadata
- Authors
- Bammer, R., Keeling, S. L., Augustin, M., Pruessmann, K. P., Wolf, R., Stollberger, R., Hartung, H., & Fazekas, F.
- Venue
- Magnetic Resonance in Medicine
- Publisher
- Wiley
- Published
- 2001-08-31
- Volume
- 46
- Issue
- 3
- Pages
- 548-554
- ISSN
- 0740-3194 (ISSN-L)
- 1522-2594
- OpenAlex
- W1967691758
- Cited by
- 311
- References
- 19
- FWCI
- 13.46
- Type
- journal article
- Language
- en
- Open access
- bronze
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.