A novel MRI-compatible brain ventricle phantom for validation of segmentation and volumetry methods

A novel MRI-compatible brain ventricle phantom for validation of segmentation and volumetry methods
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DOI:
10.1002/jmri.23612
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发表时间:
2012-08-01
影响因子:
4.4
通讯作者:
Bartha, Robert
Bartha, Robert
中科院分区:
医学2区
文献类型:
--
作者:
Khan, Amanda F.;Drozd, John J.;Bartha, Robert

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目的:创建一个标准化的、与MRI兼容的、真人大小的脑室模型,以评估使用T1加权MRI进行脑室分割的方法。需要一个客观的体模来测试目前用于测量阿尔茨海默病患者脑室体积的许多不同的分割程序。材料和方法:使用由阿尔茨海默病患者的3Tesla(T)磁共振成像创建的脑室的数字网状结构,用聚碳酸酯构建脑室模型。将脑室置于脑模内,用2%琼脂水溶液、0.01%氯化钠和0.0375 mM吉多喷妥钠地葡胺组成的材料包裹脑室,以匹配3TT1加权磁共振成像中脑组织的信号特征。采集模型的3TT1加权图像,用脑室分割软件测量脑室体积。结果:获得的模型图像成功地复制了T1加权图像中脑室和周围组织之间的信号强度差异,并且对分割具有很强的鲁棒性。在1 mm的体素大小下,脑室体积的量化准确率为99%。结论:该模型是检验侧脑室分割方法准确性的一种简单、真实、客观的方法,并可推广到其他解剖结构。J·马根。雷森。《成像》2012年;36:476482。(C)2012年威利期刊公司。
Purpose: To create a standardized, MRI-compatible, life-sized phantom of the brain ventricles to evaluate ventricle segmentation methods using T1-weighted MRI. An objective phantom is needed to test the many different segmentation programs currently used to measure ventricle volumes in patients with Alzheimer's disease. Materials and Methods: A ventricle model was constructed from polycarbonate using a digital mesh of the ventricles created from the 3 Tesla (T) MRI of a subject with Alzheimer's disease. The ventricle was placed in a brain mold and surrounded with material composed of 2% agar in water, 0.01% NaCl and 0.0375 mM gadopentetate dimeglumine to match the signal intensity properties of brain tissue in 3T T1-weighted MRI. The 3T T1-weighted images of the phantom were acquired and ventricle segmentation software was used to measure ventricle volume. Results: The images acquired of the phantom successfully replicated in vivo signal intensity differences between the ventricle and surrounding tissue in T1-weighted images and were robust to segmentation. The ventricle volume was quantified to 99% accuracy at 1-mm voxel size. Conclusion: The phantom represents a simple, realistic and objective method to test the accuracy of lateral ventricle segmentation methods and we project it can be extended to other anatomical structures. J. Magn. Reson. Imaging 2012;36:476482. (c) 2012 Wiley Periodicals, Inc.