Efficient standardization of clinical T 2 ‐weighted images: Phase‐conjugacy e‐CAMP with projected gradient descent
To standardize T -weighted images from clinical Turbo Spin Echo (TSE) scans by generating corresponding T maps with the goal of removing scanner- and/or protocol-specific heterogeneity. The T map is estimated by minimizing an objective function containing a data fidelity term in a Virtual Conjugate...
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| Published in | Magnetic resonance in medicine Vol. 92; no. 6; p. 2723 |
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| Main Authors | , , , , |
| Format | Journal Article |
| Language | English |
| Published |
United States
01.12.2024
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| Subjects | |
| Online Access | Get full text |
| ISSN | 0740-3194 1522-2594 |
| DOI | 10.1002/mrm.30214 |
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| Summary: | To standardize T
-weighted images from clinical Turbo Spin Echo (TSE) scans by generating corresponding T
maps with the goal of removing scanner- and/or protocol-specific heterogeneity.
The T
map is estimated by minimizing an objective function containing a data fidelity term in a Virtual Conjugate Coils (VCC) framework, where the signal evolution model is expressed as a linear constraint. The objective function is minimized by Projected Gradient Descent (PGD).
The algorithm achieves accuracy comparable to methods with customized sampling schemes for accelerated T
mapping. The results are insensitive to the tunable parameters, and the relaxed background phase prior produces better T
maps compared to the strict real-value enforcement. It is worth noting that the algorithm works well with challenging T
w-TSE data using typical clinical parameters. The observed normalized root mean square error ranges from 6.8% to 12.3% over grey and white matter, a clinically common level of quantitative map error.
The novel methodological development creates an efficient algorithm that allows for T
map generated from TSE data with typical clinical parameters, such as high resolution, long echo train length, and low echo spacing. Reconstruction of T
maps from TSE data with typical clinical parameters has not been previously reported. |
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| ISSN: | 0740-3194 1522-2594 |
| DOI: | 10.1002/mrm.30214 |