The 2016 QSM Challenge: Lessons learned and considerations for a future challenge design.

The 2016 QSM Challenge: Lessons learned and considerations for a future challenge design.
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DOI:
10.1002/mrm.28185
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发表时间:
2020-09
影响因子:
3.3
通讯作者:
Langkammer C
Langkammer C
中科院分区:
医学3区
文献类型:
--
作者:
Milovic C;Tejos C;Acosta-Cabronero J;Özbay PS;Schwesser F;Marques JP;Irarrazaval P;Bilgic B;Langkammer C

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第四届 MRI 相差与 QSM 国际研讨会(2016 年,格拉茨)举办了首届 QSM 挑战赛。提供了单向 GRE 采集,以及 COSMOS 和 χ33 STI 组件作为基本事实。根据用于优化的误差指标,提交的解决方案与预期的差异更大,并且倾向于过度正则化。这引发了有关基本事实和所使用的指标的(未解答的)问题。我们通过应用附加滤波器研究了背景场残余的影响。我们还估计了 STI 张量对表观磁化率的各向异性贡献,以修正 χ33 真实值并研究对重建的影响。最后,我们使用 COSMOS 重建的前向模拟来研究噪声对指标的影响。与修正后的 STI 真实值相比,重建结果返回较低的错误。我们表明背景场残留对错误的影响较小。在不存在不一致的情况下,所有指标都收敛到相同的正则化权重,而 SSIM 对这种不一致更加不敏感。由于存在未说明的各向异性磁化率贡献和噪声,所提供的数据与真实情况之间存在不匹配。鉴于使用体内采集时缺乏可靠的基础事实,建议对未来的 QSM 挑战进行模拟。
The 4th International Workshop on MRI Phase Contrast & QSM (2016, Graz) hosted the first QSM challenge. A single-orientation GRE acquisition was provided, along with COSMOS and the χ33 STI component as ground-truths. The submitted solutions differed more than expected depending on the error metric used for optimization and tended to over-regularization. This raised (unanswered) questions about the ground-truths and the metrics utilized. We investigated the influence of background field remnants by applying additional filters. We also estimated the anisotropic contributions from the STI tensor to the apparent susceptibility, to amend the χ33 ground-truth and to investigate the impact on the reconstructions. Lastly, we used forward simulations from the COSMOS reconstruction to investigate the impact that has noise on the metrics. Reconstructions compared against the amended STI ground-truth returned lower errors. We show that the background field remnants had a minor impact in the errors. In the absence of inconsistencies, all metrics converged to the same regularization weights, whereas SSIM was more insensitive to such inconsistencies. There was a mismatch between the provided data and the ground-truths due to the presence of unaccounted anisotropic susceptibility contributions and noise. Given the lack of reliable ground-truths when using in vivo acquisitions, simulations are suggested for future QSM challenges.
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