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Consistent Detection of Mid-Sagittal Planes for Follow-up MR Brain Studies

机译:用于后续脑研究的中矢状平面的一致检测

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The mid-sagittal plane (MSP) is a commonly used anatomic landmark for standardized MR brain acquisition. In addition to the requirement of accurate detection of the MSP geometry, it is also imperative from clinical point of view to consistently prescribe scan planning for evaluation of pathology process in follow-up studies. In this work, an adaptive technique of scan planning has been developed to enforce the consistency among scans acquired at different time points from the same patient by maximizing image similarity in the proximity of MSP. The geometry parameters of the MSP of current study are optimized by simplex algorithm to achieve better similarity to the reference study. Meanwhile different similarity measures are studied and evaluated within the region of the interest of each MSP. The method is successfully tested on self-reference consistency study by manually setting the reference sagittal image. It is also tested with clinical follow-up studies of MR images acquired from 30 patients. By visual inspection, the adaptive consistency method improves the similarity to the reference images in 22 follow-up studies evidently, while the similarity to the reference images in 7 studies improves slightly. This result demonstrates the efficacy of our method on consistent detection of mid-sagittal planes for follow-up MR brain study.
机译:中矢状平面(MSP)是标准化MR脑采集的常用解剖标志。除了准确检测MSP几何形状的要求外,还必须从临床观点来看,始终如一地规定用于评估病理过程在后续研究中的扫描计划。在这项工作中,已经开发了一种自适应技术,通过最大化MSP接近的图像相似性来强化来自同一患者的不同时间点所获得的扫描之间的扫描之间的一致性。目前研究MSP的几何参数由单纯x算法优化,以实现与参考研究的更好相似性。同时,在每个MSP的兴趣区域内研究和评估了不同的相似度措施。该方法通过手动设置参考矢状图像成功地测试自引用一致性研究。还测试了从30名患者获得的MR图像的临床后续研究。通过目视检查,自适应一致性方法显然地改善了22研究中的22研究中的参考图像的相似性,而7研究中的参考图像的相似性略微改善。这一结果表明了我们对后续先生脑研究的中矢状平面一致检测的方法。

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