Recovery and Characterization of Tissue Properties from Magnetic Resonance Fingerprinting with Exchange
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| Vydáno v: | Journal of Imaging vol. 11, no. 5 (2025), p. 169 |
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MDPI AG
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| On-line přístup: | Citation/Abstract Full Text + Graphics Full Text - PDF |
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| Abstrakt: | Magnetic resonance fingerprinting (MRF), a quantitative MRI technique, enables the acquisition of multiple tissue properties in a single scan. In this paper, we study a proposed extension of MRF, MRF with exchange (MRF-X), which can enable acquisition of the six tissue properties <inline-formula>T1a</inline-formula>,<inline-formula>T2a</inline-formula>, <inline-formula>T1b</inline-formula>, <inline-formula>T2b</inline-formula>, <inline-formula>ρ</inline-formula> and <inline-formula>τ</inline-formula> simultaneously. In MRF-X, ‘a’ and ‘b’ refer to distinct compartments modeled in each voxel, while <inline-formula>ρ</inline-formula> is the fractional volume of component ‘a’, and <inline-formula>τ</inline-formula> is the exchange rate of protons between the two components. To assess the feasibility of recovering these properties, we first empirically characterize a similarity metric between MRF and MRF-X reconstructed tissue property values and known reference property values for candidate signals. Our characterization indicates that such a recovery is possible, although the similarity metric surface across the candidate tissue properties is less structured for MRF-X than for MRF. We then investigate the application of different optimization techniques to recover tissue properties from noisy MRF and MRF-X data. Previous work has widely utilized template dictionary-based approaches in the context of MRF; however, such approaches are infeasible with MRF-X. Our results show that Simplicial Homology Global Optimization (SHGO), a global optimization algorithm, and Limited-memory Bryoden–Fletcher–Goldfarb–Shanno algorithm with Bounds (L-BFGS-B), a local optimization algorithm, performed comparably with direct matching in two-tissue property MRF at an SNR of 5. These optimization methods also successfully recovered five tissue properties from MRF-X data. However, with the current pulse sequence and reconstruction approach, recovering all six tissue properties remains challenging for all the methods investigated. |
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| ISSN: | 2313-433X |
| DOI: | 10.3390/jimaging11050169 |
| Zdroj: | Advanced Technologies & Aerospace Database |