- Abstract:
-
Diffusion in biological tissues is known to be hindered by the structural complexity of the underlying medium. In the heart, improved characterisation on how this complexity influences acquired diffusion weighted signals is key to advancing our interpretation of diffusion magnetic resonance imaging, as well as to propose novel biomarkers to further characterise myocardial microstructure. In this work, we propose stretched Mittag–Leffler signal decay models for the quantification of the ano...
Expand abstract - Publication status:
- Published
- Peer review status:
- Peer reviewed
- Version:
- Publisher's version
- Publisher:
- Institute of Electrical and Electronic Engineers Publisher's website
- Journal:
- IEEE Transactions on Medical Imaging Journal website
- Volume:
- 35
- Issue:
- 9
- Pages:
- 2200 - 2207
- Publication date:
- 2016-05-02
- DOI:
- EISSN:
-
1558-254X
- ISSN:
-
0278-0062
- URN:
-
uuid:4e777c1c-c6ef-41ff-b070-0088a3ef4e81
- Source identifiers:
-
612130
- Local pid:
- pubs:612130
- Copyright holder:
- Bueno-Orovio et al.
- Copyright date:
- 2016
- Notes:
- This work is licensed under a Creative Commons Attribution 3.0 License. For more information, see http://creativecommons.org/licenses/by/3.0/
Journal article
Anomalous diffusion in cardiac tissue as an index of myocardial microstructure
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