首页> 外文会议>Conference on Medical Imaging 2008: Imaging Processing; 20080217-19; San Diego,CA(US) >Consistent Detection of Mid-Sagittal Planes for Follow-up MR Brain Studies
【24h】

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

机译:一致检测中矢状平面以进行后续MR脑研究

获取原文
获取原文并翻译 | 示例

摘要

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:矢状中平面(MSP)是标准化MR脑采集的常用解剖标志。除了需要精确检测MSP几何形状外,从临床角度出发,还必须始终如一地制定扫描计划以评估后续研究中的病理过程。在这项工作中,已开发出一种自适应的扫描计划技术,以通过最大化MSP附近的图像相似性来增强在同一时间在不同时间点从同一患者获取的扫描之间的一致性。通过单纯形算法对当前研究的MSP的几何参数进行了优化,以达到与参考研究更好的相似性。同时,在每个MSP感兴趣的区域内研究和评估了不同的相似性度量。通过手动设置参考矢状面图像,该方法已在自参考一致性研究中成功测试。还对从30位患者获得的MR图像进行临床随访研究进行了测试。通过目视检查,自适应一致性方法明显改善了22个随访研究中与参考图像的相似性,而7个研究中与参考图像的相似性则有所改善。该结果证明了我们的方法对于后续MR脑研究一致检测矢状中平面的功效。

著录项

相似文献

  • 外文文献
  • 中文文献
  • 专利
获取原文

客服邮箱:kefu@zhangqiaokeyan.com

京公网安备:11010802029741号 ICP备案号:京ICP备15016152号-6 六维联合信息科技 (北京) 有限公司©版权所有
  • 客服微信

  • 服务号