首页> 外文期刊>電子情報通信学会技術研究報告 >Reduction of acquisition time in intersection profile method for 4D-MRI reconstruction of thoracoabdominal organs
【24h】

Reduction of acquisition time in intersection profile method for 4D-MRI reconstruction of thoracoabdominal organs

机译:交叉轮廓法减少胸腹器官4D-MRI重建的采集时间

获取原文
获取原文并翻译 | 示例
       

摘要

In this study, we developed an automatic reconstruction of 4D-MRI using the intersection profile method. This method requires several number of time sequential slices in sagittal plane and functions as a navigator slice. Data slices along the anterior and posterior axis are also captured to obtain several respiratory motions. Since the navigator slice and data slices are orthogonal to each other, it is possible to reconstruct a 4D-MRI based on the intersection of the respiratory patterns found in them. The synchronization is performed by calculating normalized cross correlation (NCC) between the respiratory pattern found in the navigator slice and data slices. In this study, we reduce the time acquisition for data slices using two approaches, namely a fixed threshold and an adaptive threshold. Fixed threshold sets a threshold value and terminate the acquisition once the NCC is value over the threshold value. Adaptive threshold determines threshold value based on the NCC value from the first 100 data slices frames. We perform both approaches to build 4D-MRI of six subjects and evaluate the geometric mean and total time to obtain all data slices compared with conventional data slices acquisition (without threshold). The preliminary results to reconstruct 4D-MRI using both approaches show a significant improvement in data slices time acquisition. Fixed threshold approach was able to reduce the time acquisition by 45% on average and 47% using adaptive threshold approach. Although the geometric mean value using both approaches were lower, the visualization of 4D-MRI using conventional data acquisition, fixed threshold and adaptive threshold showed insignificant difference.
机译:在这项研究中,我们开发了使用相交轮廓法自动重建4D-MRI。此方法需要在弧矢平面中按时间顺序划分多个切片,并用作导航切片。沿前轴和后轴的数据切片也被捕获,以获得几次呼吸运动。由于导航器切片和数据切片彼此正交,因此可以根据在其中找到的呼吸模式的交点来重建4D-MRI。通过计算导航器切片和数据切片中找到的呼吸模式之间的归一化互相关(NCC),可以执行同步。在这项研究中,我们使用两种方法(即固定阈值和自适应阈值)来减少数据切片的时间获取。固定阈值设置阈值,一旦NCC值超过阈值,则终止采集。自适应阈值基于前100个数据切片帧中的NCC值确定阈值。我们执行两种方法来构建六个对象的4D-MRI,并评估几何均值和总时间,以与传统数据片采集(无阈值)相比,获得所有数据片。使用这两种方法重建4D-MRI的初步结果表明,在数据切片时间获取方面有了显着改善。固定阈值方法使用自适应阈值方法平均可将时间获取减少45%,将时间减少47%。尽管两种方法的几何平均值均较低,但使用常规数据采集,固定阈值和自适应阈值进行的4D-MRI可视化显示无显着差异。

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