Motion-robust proton density fat fraction and T2∗ mapping in supraclavicular adipose tissue using radial stack-of-stars imaging

利用径向星形堆叠成像技术对锁骨上脂肪组织进行运动鲁棒的质子密度脂肪分数和T2∗映射

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Abstract

PURPOSE: Accurate quantification of proton density fat fraction (PDFF) and T2∗ in the supracalvicular (SCV) fossa is critical for studying brown adipose tissue (BAT), but is challenged by respiratory motion-induced B0 fluctuations. This study compares conventional Cartesian imaging to a radial stack-of-stars (SoS) trajectory, with and without retrospective temporal B0 correction, in terms of PDFF and T2∗ mapping precision. METHODS: Motion-induced B0 fluctuations and tissue displacement were modeled using a digital anatomical phantom. Both Cartesian and radial SoS trajectories were simulated, with temporal B0 correction, relying on oversampling of the k-space center, applied to the radial SoS data. Additionally, repeated in vivo scans were performed in four volunteers using both trajectories. PDFF and T2∗ were quantified across repetitions. RESULTS: Simulations demonstrated smaller PDFF and T2∗ errors in radial SoS compared to Cartesian imaging under the influence of simulated motion effects. In the simulations, the mean absolute PDFF error decreased from 1.07 %PDFF with Cartesian to 0.47 %PDFF with radial SoS, and the T2∗ error decreased from 7.50 ms to 3.37 ms. In vivo, radial SoS provided higher repeatability for both parameters compared to Cartesian acquisitions, as measured by the inter-scan coefficient of variation. Retrospective temporal B0 correction further improved the repeatability of T2∗ quantification. CONCLUSIONS: Radial SoS imaging improves motion robustness and repeatability of PDFF and T2∗ quantification in the SCV fossa compared to Cartesian acquisitions. Incorporating retrospective temporal B0 correction further enhances T2∗ reliability and may strengthen the precision of BAT activation studies.

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