首页> 外文会议>25th SIBGRAPI - Conference on Graphics, Patterns and Images. >Unraveling the Compromise between Skull Stripping and Inhomogeneity Correction in 3T MR Images
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Unraveling the Compromise between Skull Stripping and Inhomogeneity Correction in 3T MR Images

机译:揭露3T MR图像中头骨剥离和不均匀校正之间的妥协

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Bias field (in homogeneity) correction and skull stripping are initial standard procedures in medical image analysis of the human brain. Several works have investigated the effects of prior in homogeneity correction on skull stripping using 1.5 Tesla magnetic resonance (MR) images, but this question remains unanswered for higher magnetic fields. This paper fills this gap using 3 Tesla MR-images, by proposing a novel alternate sequence of skull stripping, morphological operations, in homogeneity correction and intensity standardization, with the first at the beginning and end of the sequence, denominated Iterative Skull Stripping methodology. Conversely to what happens in 1.5T images, experimental evaluation shows that, in 3 Tesla datasets, in homogeneity effect plays an important role in stripping the brain. This observation produces a deep impact on previous and future studies that rely on skull stripping operation.
机译:偏差场(均匀性)校正和颅骨剥离是人脑医学图像分析的初始标准程序。几项研究已经研究了使用1.5特斯拉磁共振(MR)图像进行先验均质校正对颅骨剥离的影响,但是对于更高的磁场,这个问题仍然没有答案。本文通过使用3个Tesla MR图像填补了这一空白,提出了一种新颖的颅骨剥离,形态学操作的替代序列,用于均质校正和强度标准化,并在序列的开始和结尾处采用了第一个方法,称为迭代颅骨剥离方法。与1.5T图像中发生的情况相反,实验评估表明,在3个Tesla数据集中,同质性效应在剥夺大脑方面起着重要作用。该观察结果对依靠颅骨剥离手术的以前和将来的研究产生了深远的影响。

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