Quantitative susceptibility mapping of small objects using volume constraints.
Quantitative susceptibility mapping of small objects using volume constraints.
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DOI：
10.1002/mrm.24305
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发表时间：
2013-03-01
影响因子：
3.3
通讯作者：
Haacke, E. Mark
中科院分区：
文献类型：
--
作者：
Liu, Saifeng;Neelavalli, Jaladhar;Cheng, Yu-Chung N.;Tang, Jin;Haacke, E. Mark
微出血已被认为在许多神经血管和神经退行性疾病中发挥作用。每个微出血的直径先前已被用作对微出血分级的可能的定量测量。我们提出磁化率提供了一种新的渗血定量测量方法。最近，基于傅立叶的方法已被使用，该方法允许对任何任意形状的结构的相位图像进行磁化率量化。然而，当考虑非常小的物体（例如微出血）时，这种磁敏度绘图方法的准确性仍有待评估。本文以气泡和玻璃珠作为微出血替代物来评估磁敏图法的定量准确性。我们表明，当一个物体仅占据几个体素时，需要估计该物体的真实体积才能准确量化磁敏度。评估量化敏感性中的残余误差及其来源。我们表明，量化磁矩，而不是这些小结构的磁化率，可能是更好、更稳健的替代方案。
Microbleeds have been implicated to play a role in many neurovascular and neurodegenerative diseases. The diameter of each microbleed has been used previously as a possible quantitative measure for grading microbleeds. We propose that magnetic susceptibility provides a new quantitative measure of extravasated blood. Recently, a Fourier based method has been used that allows susceptibility quantification from phase images for any arbitrarily shaped structures. However, when very small objects, such as microbleeds, are considered, the accuracy of this susceptibility mapping method still remains to be evaluated. In this paper, air-bubbles and glass beads are taken as microbleed surrogates to evaluate the quantitative accuracy of the susceptibility mapping method. We show that when an object occupies only a few voxels, an estimate of the true volume of the object is necessary for accurate susceptibility quantification. Remnant errors in the quantified susceptibilities and their sources are evaluated. We show that quantifying magnetic moment, rather than the susceptibility of these small structures, may be a better and more robust alternative.
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影响因子：
4.4
作者：
Haacke, E. M.;Tang, J.;Neelavalli, J.;Cheng, Y. C. N.
通讯作者：
Cheng, Y. C. N.
影响因子：
48
作者：
Greenberg, Steven M.;Vernooij, Meike W.;Cordonnier, Charlotte;Viswanathan, Anand;Salman, Rustorn Al-Shahi;Warach, Steven;Launer, Lenore J.;Van Buchem, Mark A.;Breteler, Monique M. B.
通讯作者：
Breteler, Monique M. B.
影响因子：
3.5
作者：
Cheng, Yu-Chung N.;Hsieh, Ching-Yi;Haacke, E. Mark
通讯作者：
Haacke, E. Mark
影响因子：
3.5
作者：
Cheng YC;Neelavalli J;Haacke EM
通讯作者：
Haacke EM
影响因子：
4.4
作者：
Ayaz, Muhammad;Boikov, Alexander S.;Haacke, E. Mark;Kido, Daniel K.;Kirsch, Wolff M.
通讯作者：
Kirsch, Wolff M.