The DOI matches its Crossref record; 34 of the 34 references it cites were found in a registry or an index.
Magnetic resonance myocardial fiber-orientation mapping with direct histological correlation
Abstract
Functional properties of the myocardium are mediated by the tissue structure. Consequently, proper physiological studies and modeling necessitate a precise knowledge of the fiber orientation. Magnetic resonance (MR) diffusion tensor imaging techniques have been used as a nondestructive means to characterize tissue fiber structure; however, the descriptions so far have been mostly qualitative. This study presents a direct, quantitative comparison of high-resolution MR fiber mapping and histology measurements in a block of excised canine myocardium. Results show an excellent correspondence of the measured fiber angles not only on a point-by-point basis (average difference of −2.30 ± 0.98°, n = 239) but also in the transmural rotation of the helix angles (average correlation coefficient of 0.942 ± 0.008 with average false-positive probability of 0.004 ± 0.001, n = 24). These data strongly support the hypothesis that the eigenvector of the largest MR diffusion tensor eigenvalue coincides with the orientation of the local myocardial fibers and underscore the potential of MR imaging as a noninvasive, three-dimensional modality to characterize tissue fiber architecture.
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
Plum, F. (1960) · Archives of Neurology · doi:10.1001/archneur.1960.03840090124020 · Cited by 10,364
MR diffusion tensor spectroscopy and imaging
Basser, P. J., Mattiello, J., & LeBihan, D. (1994) · Biophysical Journal · doi:10.1016/s0006-3495(94)80775-1 · Cited by 5,970
Basser, P. J., & Pierpaoli, C. (1996) · Journal of Magnetic Resonance, Series B · doi:10.1006/jmrb.1996.0086 · Cited by 4,306
Estimation of the Effective Self-Diffusion Tensor from the NMR Spin Echo
Basser, P. J., Mattiello, J., & Lebihan, D. (1994) · Journal of Magnetic Resonance, Series B · doi:10.1006/jmrb.1994.1037 · Cited by 3,650
Stoschitzky, K. (2000) · Handbooks in Pharmacology and Toxicology · doi:10.1201/9781420036961.ch18 · Cited by 2,956
Diffusion 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
Toward a quantitative assessment of diffusion anisotropy
Pierpaoli, C., & Basser, P. J. (1996) · Magnetic Resonance in Medicine · doi:10.1002/mrm.1910360612 · Cited by 2,405
Processing strategies for time‐course data sets in functional mri of the human brain
Bandettini, P. A., Jesmanowicz, A., Wong, E. C., & Hyde, J. S. (1993) · Magnetic Resonance in Medicine · doi:10.1002/mrm.1910300204 · Cited by 1,763
Fiber Orientation in the Canine Left Ventricle during Diastole and Systole
STREETER, D. D., SPOTNITZ, H. M., PATEL, D. P., ROSS, J., & SONNENBLICK, E. H. (1969) · Circulation Research · doi:10.1161/01.res.24.3.339 · Cited by 1,454
Stejskal, E. O. (1965) · The Journal of Chemical Physics · doi:10.1063/1.1696526 · Cited by 894
Cited by
Spatial transformations of diffusion tensor magnetic resonance images
Alexander, D. C., Pierpaoli, C., Basser, P. J., & Gee, J. C. (2001) · IEEE Transactions on Medical Imaging · doi:10.1109/42.963816 · Cited by 610
Models of cardiac tissue electrophysiology: Progress, challenges and open questions
Clayton, R. H., Bernus, O., Cherry, E. M., Dierckx, H., Fenton, F. H., Mirabella, L., Panfilov, A. V., Sachse, F. B., Seemann, G., & Zhang, H. (2011) · Progress in Biophysics and Molecular Biology · doi:10.1016/j.pbiomolbio.2010.05.008 · Cited by 585
Bayer, J. D., Blake, R. C., Plank, G., & Trayanova, N. A. (2012) · Annals of Biomedical Engineering · doi:10.1007/s10439-012-0593-5 · Cited by 557
Recruitment of Tendon Crimp With Applied Tensile Strain
Hansen, K. A., Weiss, J. A., & Barton, J. K. (2002) · Journal of Biomechanical Engineering · doi:10.1115/1.1427698 · Cited by 285
Sun, S., Neil, J. J., & Song, S. (2003) · Magnetic Resonance in Medicine · doi:10.1002/mrm.10605 · Cited by 231
Metadata
- Authors
- Hsu, E. W., Muzikant, A. L., Matulevicius, S. A., Penland, R. C., & Henriquez, C. S.
- Venue
- American Journal of Physiology-Heart and Circulatory Physiology
- Publisher
- American Physiological Society
- Published
- 1998-05-01
- Volume
- 274
- Issue
- 5
- Pages
- H1627-H1634
- ISSN
- 0363-6135 (ISSN-L)
- 1522-1539
- OpenAlex
- W2120776981
- Cited by
- 386
- References
- 34
- FWCI
- 10.54
- Type
- journal article
- Language
- en
- Open access
- closed
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
How to cite
Cite CoChat for the checks on this page, and the paper for its own findings.
- This page
- CoChat. (2026). Citation check: Magnetic resonance myocardial fiber-orientation mapping with direct histological correlation. https://app.cochat.ai/papers/10.1152/ajpheart.1998.274.5.h1627
- The paper
- Hsu, E. W., Muzikant, A. L., Matulevicius, S. A., Penland, R. C., & Henriquez, C. S. (1998). Magnetic resonance myocardial fiber-orientation mapping with direct histological correlation. American Journal of Physiology-Heart and Circulatory Physiology. https://doi.org/10.1152/ajpheart.1998.274.5.h1627
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.