Identifying potential imaging markers for diffusion property changes in a mouse model of amyotrophic lateral sclerosis: Application of the continuous time random walk model to ultrahigh b-value diffusion-weighted MR images of spinal cord tissue.
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| Title: | Identifying potential imaging markers for diffusion property changes in a mouse model of amyotrophic lateral sclerosis: Application of the continuous time random walk model to ultrahigh b-value diffusion-weighted MR images of spinal cord tissue. |
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| Authors: | Gao J; Department of Electrical and Computer Engineering, University of Illinois Chicago, Chicago, Illinois, USA.; Preclinical Imaging Core, University of Illinois Chicago, Chicago, Illinois, USA., Jiang M; Department of Physiology, Northwestern University, Chicago, Illinois, USA., Erricolo D; Department of Electrical and Computer Engineering, University of Illinois Chicago, Chicago, Illinois, USA., Magin RL; Department of Biomedical Engineering, University of Illinois Chicago, Chicago, Illinois, USA., Morfini G; Department of Anatomy and Cell Biology, University of Illinois Chicago, Chicago, Illinois, USA., Royston T; Department of Biomedical Engineering, University of Illinois Chicago, Chicago, Illinois, USA., Larson AC; Department of Radiology, Northwestern University, Chicago, Illinois, USA., Li W; Preclinical Imaging Core, University of Illinois Chicago, Chicago, Illinois, USA.; Department of Biomedical Engineering, University of Illinois Chicago, Chicago, Illinois, USA.; Department of Radiology, Northwestern University, Chicago, Illinois, USA. |
| Source: | NMR in biomedicine [NMR Biomed] 2024 Jan; Vol. 37 (1), pp. e5037. Date of Electronic Publication: 2023 Sep 18. |
| Publication Type: | Journal Article; Research Support, N.I.H., Extramural |
| Journal Info: | Publisher: Wiley Country of Publication: England NLM ID: 8915233 Publication Model: Print-Electronic Cited Medium: Internet ISSN: 1099-1492 (Electronic) Linking ISSN: 09523480 NLM ISO Abbreviation: NMR Biomed Subsets: MEDLINE |
| Database: | MEDLINE Ultimate |
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| ISSN: | 1099-1492 |
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| DOI: | 10.1002/nbm.5037 |
