## Abstract Reproducible and accurate myocardial __T__ measurements are required for the quantification of iron in heart tissue in transfused thalassemia. The aim of this study was to determine the best method to measure the myocardial __T__ from multi‐gradient‐echo data acquired both with and with
Accurate liver T measurement of iron overload: A simulations investigation and in vivo study
✍ Scribed by Marine Beaumont; Isaac Odame; Paul S. Babyn; Logi Vidarsson; Melanie Kirby-Allen; Hai-Ling Margaret Cheng
- Publisher
- John Wiley and Sons
- Year
- 2009
- Tongue
- English
- Weight
- 379 KB
- Volume
- 30
- Category
- Article
- ISSN
- 1053-1807
No coin nor oath required. For personal study only.
✦ Synopsis
Abstract
Purpose
To investigate the accuracy of T liver iron quantification using different curve‐fitting models under varying acquisition conditions, and to compare in iron‐overloaded patients the reliability of rapid T measurements against approved and slower T~2~ protocols.
Materials and Methods
Simulations were conducted to assess the influence of various factors on the accuracy of T measurement: curve‐fitting model, signal‐to‐noise ratio (SNR), and echo time (TE) spacing. Fifty‐four iron‐overloaded pediatric patients were assessed using a standard T~2~ and two variations of T acquisitions. In both simulations and in vivo data, three analysis models were evaluated: monoexponential, constant offset, and truncated.
Results
Simulations show the truncated model provides the best accuracy but is susceptible to underestimating high iron species under low SNR or high minimum TE. In contrast, the offset model tends to overestimate but maintains the most reliable measurements across the relevant range of iron levels. Furthermore, a much lower SNR can be tolerated if the acquisition uses a low minimum TE. In vivo results confirm theoretical findings and show that T measurements can be as reliable as those from approved and slower T~2~ protocols.
Conclusion
Guidelines are provided on choosing an appropriate model under specific noise conditions and acquisition schemes to ensure accurate and rapid T liver iron quantification. J. Magn. Reson. Imaging 2009;30:313–320. © 2009 Wiley‐Liss, Inc.
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