Joint system relaxometry (JSR) and Crámer‐Rao lower bound optimization of sequence parameters: A framework for enhanced precision of DESPOT T1 and T2 estimation
Open accessAbstract
Purpose: This study aims to increase the precision of single‐compartment DESPOT relaxometry by two means: (i) a joint system relaxometry (JSR) approach that estimates parameters in a single step using all available data; and (ii) optimizing acquisition parameters by deploying a robust design tool based on the Crámer‐Rao lower bound (CRLB). Methods: Following the development of the analysis and design capabilities, phantom and four in vivo subject experiments were performed to compare directly the precision achieved with DESPOT and JSR estimation using published protocols and protocols designed using a proposed CRLB framework. Results: Experimental data demonstrate JSR's ability to decrease relaxometry estimation variance. Phantom results show 72 to 77% improvement using the same data as conventional DESPOT. This is further improved to 81 to 87% using optimal parameters. Both experiments show systematic bias depending on the acquisition parameters used, which are shown to be highly reproducible and to vary with different magnetization transfer conditions. Conclusions: Compared with DESPOT, JSR produces reproducible relaxation maps with improved precision. Further improvement was achieved using CRLB as a protocol design tool. With this combined approach, it is possible to achieve submillimeter maps of in an 11‐min examination, making the approach appealing for potential clinical use. Magn Reson Med 79:234–245, 2018. © 2017 The Authors Magnetic Resonance in Medicine published by Wiley Periodicals, Inc. on behalf of International Society for Magnetic Resonance in Medicine. This is an open access article under the terms of the Creative Commons Attribution License, which permits use, distribution and reproduction in any medium, provided the original work is properly cited.
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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 [234]
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- Authors
- Teixeira, R. P. A. G., Malik, S. J., & Hajnal, J. V.
- Affiliations
- King's College London (GB)
- Corresponding author
- Teixeira, Rui Pedro A.G.
- Venue
- Magnetic Resonance in Medicine
- Publisher
- Wiley
- Published
- 2017-03-16
- Volume
- 79
- Issue
- 1
- Pages
- 234-245
- ISSN
- 0740-3194 (ISSN-L)
- 1522-2594
- PMC
- PMC5763350
- OpenAlex
- W2596398870
- Cited by
- 39
- References
- 51
- Citations by year
- 2026: 2 · 2025: 2 · 2024: 2 · 2023: 4 · 2022: 2 · 2021: 6 · 2020: 4 · 2019: 8 · 2018: 7 · 2017: 2
- FWCI
- 4.41
- Type
- journal article
- Language
- en
- Open access
- hybrid
- doi.org
- Licence
- Locations
- Magnetic Resonance in Medicine (publishedVersion, cc-by)
- PubMed Central (publishedVersion, cc-by)
- PubMed (publishedVersion)
- Research Portal (King's College London) (submittedVersion, cc-by)
- Funders
- Engineering and Physical Sciences Research Council (EP/L00531X/1)
- 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
- despots, T1 mapping, T2 mapping, Cramer-Rao lower bound, acquisition parameter optimization, magnetization transfer, B0 mapping, estimation precision, one-compartment model
- MeSH terms
- Adult, Algorithms, Brain, Calibration, Computer Simulation, Female, Humans, Image Processing, Computer-Assisted, Magnetic Resonance Imaging, Male, Magnetic Resonance Spectroscopy, Reproducibility of Results, Models, Statistical, Phantoms, Imaging, Young Adult, Signal-To-Noise Ratio, Healthy Volunteers
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