On the inherent precision of mcDESPOT
Open accessAbstract
A statistical analysis of the mcDESPOT protocol for characterizing two exchanging water proton pools—a seven‐dimensional problem that fits to multiple flip angle measurements of both spoiled and refocused gradient echoes—is presented. Theoretical calculations of the Cramér‐Rao lower bounds of the variance of fitted model parameters were made using a variety of model system parameters, meant to mimic those expected in human white matter. The results, validated by Monte Carlo simulations, indicated that mcDESPOT signals acquired at feasibly attainable signal‐to‐noise ratios cannot provide parameter estimates with useful levels of precision. Precision can be greatly improved by constraining solutions with a priori model information, although this will generally lead to biased parameter estimates with less specificity. These results indicate that previous, apparently successful applications of mcDESPOT to human white matter may have used data fitting methods that implicitly constrained parameter solutions, or that the two‐pool model of white matter may not be sufficient to describe the observed water proton signal in mcDESPOT acquisitions. In either case, mcDESPOT‐derived estimates of two‐pool model parameters cannot yet be unambiguously related to specific tissue characteristics. Magn Reson Med, 2013. © 2012 Wiley Periodicals, Inc.
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mcDESPOT determines the myelin water fraction and assesses white-matter myelination more directly than traditional diffusion-weighted imaging, but depends on acquisition protocol and modelling assumptions.
“This method assesses white-matter myelination more directly than does traditional diffusion-weighted imaging, but is dependent on acquisition protocol and modelling assumptions5,233,5, 234.”
From Imaging structural and functional brain development in early childhood (2018) · cites this paper as [233]
The T1 quantification method used here has been criticized for inaccuracies from RF field inhomogeneities.
“The method we used to quantify T1 has been recently criticized as suffering from inaccuracies due to RF field inhomogeneities (Lankford and Does, 2013; Stikov et al., 2014).”
From Multi-modal characterization of rapid anterior hippocampal volume increase associated with aerobic exercise (2016) · cites this paper as Lankford and Does, 2013
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- Authors
- Lankford, C. L., & Does, M. D.
- Affiliations
- Vanderbilt University (US)
- Corresponding author
- Does, Mark D.
- Venue
- Magnetic Resonance in Medicine
- Publisher
- Wiley
- Published
- 2012-03-12
- Volume
- 69
- Issue
- 1
- Pages
- 127-136
- ISSN
- 0740-3194 (ISSN-L)
- 1522-2594
- PMC
- PMC3449046
- OpenAlex
- W2044068102
- Cited by
- 83
- References
- 33
- Citations by year
- 2026: 1 · 2025: 3 · 2024: 3 · 2023: 3 · 2022: 4 · 2021: 2 · 2020: 9 · 2019: 7 · 2018: 4 · 2017: 11 · 2016: 10 · 2015: 10 · 2014: 10 · 2013: 2 · 2012: 4
- FWCI
- 6.28
- Type
- journal article
- Language
- en
- Open access
- green
- europepmc.org
- Locations
- Magnetic Resonance in Medicine (publishedVersion)
- PubMed (publishedVersion)
- Europe PMC (PubMed Central) (acceptedVersion)
- PubMed Central (acceptedVersion)
- Funders
- NIH (EB001744)
- Topics
- Health Sciences › Medicine › Radiology, Nuclear Medicine and Imaging › Advanced MRI Techniques and Applications
- Health Sciences › Medicine › Radiology, Nuclear Medicine and Imaging › Advanced Neuroimaging Techniques and Applications
- Physical Sciences › Physics and Astronomy › Nuclear and High Energy Physics › NMR spectroscopy and applications
- Keywords
- Cramer-Rao lower bound, parameter estimation precision, two-pool model, white matter, spoiled gradient echo, parameter bias, human brain
- MeSH terms
- Brain, Humans, Magnetic Resonance Imaging, Myelin Sheath, Signal Processing, Computer-Assisted
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