Quantitative susceptibility mapping: Report from the 2016 reconstruction challenge.
Quantitative susceptibility mapping: Report from the 2016 reconstruction challenge.
复制标题
定量敏感性映射：2016年重建挑战的报告。
DOI：
10.1002/mrm.26830
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发表时间：
2018-03
影响因子：
3.3
通讯作者：
Bilgic B
中科院分区：
文献类型：
--
作者：
Langkammer C;Schweser F;Shmueli K;Kames C;Li X;Guo L;Milovic C;Kim J;Wei H;Bredies K;Buch S;Guo Y;Liu Z;Meineke J;Rauscher A;Marques JP;Bilgic B
2016年定量磁化率图（QSM）重建挑战赛的目的是测试各种QSM算法从相位数据中忠实恢复潜在磁化率的能力。健康志愿者在3特斯拉下以1.06 mm各向同性分辨率在单个方向上采集的回波图像。提供了参考磁化率图，使用磁化率张量成像算法对在12个头部方向采集的数据进行计算。将从单一方向数据计算的磁化率图与参考磁化率图进行比较。使用以下指标量化偏差：均方根误差（RMSE），结构相似性指数（SSIM），高频误差范数（HFEN），并在选定的白色和灰质区域的错误。对27份呈件进行了评价。大多数最好的评分方法估计的空间频率内容的病态域的偶极子内核使用压缩传感策略。每个类别中的前十个地图具有相似的错误度量，但视觉外观大不相同。由于QSM算法经过优化以最大限度地减少误差指标，因此所产生的磁化率图在血管等精细特征中存在过度平滑和显著性损失。因此，这一挑战突出表明需要更好的数字图像质量标准。
The aim of the 2016 quantitative susceptibility mapping (QSM) reconstruction challenge was to test the ability of various QSM algorithms to recover the underlying susceptibility from phase data faithfully. Gradient-echo images of a healthy volunteer acquired at 3 Tesla in a single orientation with 1.06 mm isotropic resolution. A reference susceptibility map was provided, which was computed using the susceptibility tensor imaging algorithm on data acquired at 12 head orientations. Susceptibility maps calculated from the single orientation data were compared against the reference susceptibility map. Deviations were quantified using the following metrics: root mean squared error (RMSE), structure similarity index (SSIM), high-frequency error norm (HFEN), and the error in selected white and grey matter regions. Twenty-seven submissions were evaluated. Most of the best scoring approaches estimated the spatial frequency content in the ill-conditioned domain of the dipole kernel using compressed sensing strategies. The top ten maps in each category had similar error metrics but substantially different visual appearance. Because QSM algorithms were optimized to minimize error metrics, the resulting susceptibility maps suffered from over-smoothing and conspicuity loss in fine features such as vessels. As such, the challenge highlighted the need for better numerical image quality criteria.
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影响因子：
3.3
作者：
Li, L
通讯作者：
Li, L
影响因子：
3.3
作者：
Jenkinson, M;Wilson, JL;Jezzard, P
通讯作者：
Jezzard, P
DOI：
10.1073/pnas.0910222107
发表时间：
2010-03-16
影响因子：
11.1
作者：
Lee, Jongho;Shmueli, Karin;Duyn, Jeff H.
通讯作者：
Duyn, Jeff H.
影响因子：
10.6
作者：
Kressler B;de Rochefort L;Liu T;Spincemaille P;Jiang Q;Wang Y
通讯作者：
Wang Y
影响因子：
3.7
作者：
Langkammer C;Pirpamer L;Seiler S;Deistung A;Schweser F;Franthal S;Homayoon N;Katschnig-Winter P;Koegl-Wallner M;Pendl T;Stoegerer EM;Wenzel K;Fazekas F;Ropele S;Reichenbach JR;Schmidt R;Schwingenschuh P
通讯作者：
Schwingenschuh P