Statistical normalization techniques for magnetic resonance imaging.
Statistical normalization techniques for magnetic resonance imaging.
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DOI：
10.1016/j.nicl.2014.08.008
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发表时间：
2014
期刊：
影响因子：
--
通讯作者：
Alzheimer's Disease Neuroimaging Initiative
中科院分区：
文献类型：
--
作者：
Shinohara RT;Sweeney EM;Goldsmith J;Shiee N;Mateen FJ;Calabresi PA;Jarso S;Pham DL;Reich DS;Crainiceanu CM;Australian Imaging Biomarkers Lifestyle Flagship Study of Ageing;Alzheimer's Disease Neuroimaging Initiative
虽然计算机断层扫描和其他成像技术是以具有物理意义的绝对单位测量的，但磁共振图像是以难以解释的任意单位表示的，并且在研究访视和受试者之间存在差异。图像处理文献中关于强度归一化的许多工作都集中在直方图匹配和其他直方图映射技术上，很少强调将图像归一化为具有生物学可解释的单位。此外，没有正式的原则或目标的关键可比性的图像强度内和跨学科。为了解决这个问题，我们提出了一套标准的图像规范化。我们进一步提出了简单和强大的生物动机的归一化技术，多序列脑成像，具有相同的解释收购，并满足所提出的标准。我们比较了不同的归一化方法的性能在数千名阿尔茨海默病患者的图像，数百名多发性硬化症患者，和数百名健康受试者在几个不同的研究中获得的几十个成像中心。形式化统计强度标准化的必要性和目标无需预先分割的脑MRI强度标准化的新方法扩展多模态成像的新方法提出人群中强度标准化的新定量度量评估大型多中心研究中的标准化技术
While computed tomography and other imaging techniques are measured in absolute units with physical meaning, magnetic resonance images are expressed in arbitrary units that are difficult to interpret and differ between study visits and subjects. Much work in the image processing literature on intensity normalization has focused on histogram matching and other histogram mapping techniques, with little emphasis on normalizing images to have biologically interpretable units. Furthermore, there are no formalized principles or goals for the crucial comparability of image intensities within and across subjects. To address this, we propose a set of criteria necessary for the normalization of images. We further propose simple and robust biologically motivated normalization techniques for multisequence brain imaging that have the same interpretation across acquisitions and satisfy the proposed criteria. We compare the performance of different normalization methods in thousands of images of patients with Alzheimer's disease, hundreds of patients with multiple sclerosis, and hundreds of healthy subjects obtained in several different studies at dozens of imaging centers. Formalize the necessity and goals of statistical intensity normalization Novel approach for intensity normalization of brain MRI without prior segmentation Extend the novel approach for multimodality imaging Propose new quantitative metric for intensity normalization in a population Evaluate normalization techniques in large multicenter studies
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DOI：
10.3174/ajnr.a3172
发表时间：
2013-01
期刊：
AJNR. American journal of neuroradiology
影响因子：
--
作者：
Sweeney EM;Shinohara RT;Shea CD;Reich DS;Crainiceanu CM
通讯作者：
Crainiceanu CM
多发性硬化症中基于人群主成分的血脑屏障动力学定量。
影响因子：
5.7
作者：
Shinohara, Russell T.;Crainiceanu, Ciprian M.;Caffo, Brian S.;Gaitan, Maria Ines;Reich, Daniel S.
通讯作者：
Reich, Daniel S.
影响因子：
10.6
作者：
Sled, JG;Zijdenbos, AP;Evans, AC
通讯作者：
Evans, AC
影响因子：
4.8
作者：
Smith, SM
通讯作者：
Smith, SM
影响因子：
10.6
作者：
Bazin, Pierre-Louis;Pham, Dzung L.
通讯作者：
Pham, Dzung L.