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首页> 外文期刊>Journal of medical primatology >A rhesus monkey reference label atlas for template driven segmentation
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A rhesus monkey reference label atlas for template driven segmentation

机译:恒河猴参考标签图集,用于模板驱动的细分

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摘要

Background We have acquired dual-echo spin-echo (DE SE) MRI data of the rhesus monkey brain since 1994 as part of an ongoing study of normal aging. To analyze these legacy data for regional volume changes, we have created a reference label atlas for the Template Driven Segmentation (TDS) algorithm. Methods The atlas was manually created from DE SE legacy MRI data of one behaviorally normal, young, male rhesus monkey and consisted of 14 regions of interest (ROI's). We analyzed the reproducibility and validity of the TDS algorithm using the atlas relative to manual segmentation. Results ROI volumes were comparable between the two segmentation methodologies, except TDS overestimated the volume of basal ganglia regions. Both methodologies were highly reproducible, but TDS had lower sensitivity and comparable specificity. Conclusions TDS segmentation calculates accurate volumes for most ROI's. Sensitivity will be improved in future studies through the acquisition of higher quality data.
机译:背景自1994年以来,我们已获得恒河猴脑的双回波自旋回波(DE SE)MRI数据,作为正在进行的正常衰老研究的一部分。为了分析这些遗留数据的区域量变化,我们为模板驱动分割(TDS)算法创建了参考标签图集。方法该图集是从DE SE传统MRI数据中手动创建的,该数据来自一只行为正常的,年轻的雄性恒河猴,由14个感兴趣区域(ROI)组成。我们使用相对于手动分割的地图集分析了TDS算法的可重复性和有效性。结果两种分割方法之间的ROI体积相当,除了TDS高估了基底神经节区域的体积。两种方法均具有很高的重现性,但TDS的灵敏度较低且特异性相当。结论TDS细分可为大多数ROI计算准确的体积。通过获取更高质量的数据,未来的研究将提高灵敏度。

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