首页> 美国卫生研究院文献>Journal of Applied Clinical Medical Physics >Using C‐Arm X‐ray images from marker insertion to confirm the gold fiducial marker identification in an MRI‐only prostate radiotherapy workflow
【2h】

Using C‐Arm X‐ray images from marker insertion to confirm the gold fiducial marker identification in an MRI‐only prostate radiotherapy workflow

机译:使用来自标记物插入的C-Arm X射线图像来确认仅MRI的前列腺放射治疗工作流程中的金基准标记物识别

代理获取
本网站仅为用户提供外文OA文献查询和代理获取服务,本网站没有原文。下单后我们将采用程序或人工为您竭诚获取高质量的原文,但由于OA文献来源多样且变更频繁,仍可能出现获取不到、文献不完整或与标题不符等情况,如果获取不到我们将提供退款服务。请知悉。

摘要

Prostate cancer radiotherapy workflows, solely based on magnetic resonance imaging (MRI), are now in clinical use. In these workflows, intraprostatic gold fiducial markers (GFM) show similar signal behavior as calcifications and bleeding in T2‐weighted MRI‐images. Accurate GFM identification in MRI‐only radiotherapy workflows is therefore a major challenge. C‐arm X‐ray images (CkV‐images), acquired at GFM implantation, could provide GFM position information and be used to confirm correct identification in T2‐weighted MRI‐images. This would require negligible GFM migration between implantation and MRI‐imaging. Marker migration was therefore investigated. The aim of this study was to show the feasibility of using CkV‐images to confirm GFM identification in an MRI‐only prostate radiotherapy workflow. An anterior‐posterior digitally reconstructed radiograph (DRR)‐image and a mirrored posterior‐anterior CkV‐image were acquired two weeks apart for 16 patients in an MRI‐only radiotherapy workflow. The DRR‐image originated from synthetic CT‐images (created from style="fixed-case">MRI‐images). A common image geometry was defined between the style="fixed-case">DRR‐ and CkV‐image for each patient. A rigid registration between the style="fixed-case">GFM center of mass (CoM) coordinates was performed and the distance between each of the style="fixed-case">GFM in the style="fixed-case">DRR‐ and registered CkV‐image was calculated. The same methodology was used to assess style="fixed-case">GFM migration for 31 patients in a style="fixed-case">CT‐based radiotherapy workflow. The distance calculated was considered a measure of style="fixed-case">GFM migration. A statistical test was performed to assess any difference between the cohorts. The mean absolute distance difference for the style="fixed-case">GFM CoM between the style="fixed-case">DRR‐ and CkV‐image in the style="fixed-case">MRI‐only cohort was 1.7 ± 1.4 mm. The mean style="fixed-case">GFM migration was 1.2 ± 0.7 mm. No significant difference between the measured total distances of the two cohorts could be detected (P = 0.37). This demonstrated that, a C‐Arm X‐ray image acquired from the style="fixed-case">GFM implantation procedure could be used to confirm style="fixed-case">GFM identification from style="fixed-case">MRI‐images. style="fixed-case">GFM migration was present but did not constitute a problem.
机译:仅基于磁共振成像(MRI)的前列腺癌放射治疗工作流程现已投入临床使用。在这些工作流程中,前列腺内金基准标记(GFM)在T2加权MRI图像中显示出与钙化和出血相似的信号行为。因此,仅MRI放射治疗工作流程中的准确GFM识别是一个重大挑战。在GFM植入时获取的C型臂X射线图像(CkV图像)可以提供GFM位置信息,并用于确认T2加权MRI图像中的正确识别。这将需要在植入和MRI成像之间进行微不足道的GFM迁移。因此,研究了标记迁移。这项研究的目的是证明在仅MRI的前列腺放射治疗工作流程中使用CkV图像确认GFM识别的可行性。在仅进行MRI放射治疗的工作流程中,分别对16位患者进行了两周的前后数字重建X射线照片(DRR)图像和后前CkV镜像图像。 DRR图像源自合成CT图像(由 style =“ fixed-case”> MRI -图像创建)。为每个患者在 style =“ fixed-case”> DRR -和CkV-image之间定义了一种通用的图像几何形状。在 style =“ fixed-case”> GFM 重心(CoM)坐标之间进行刚性配准,并且每个 style =“ fixed-case”> GFM 在 style =“ fixed-case”> DRR -中,并计算出注册的CkV-图像。在基于 style =“ fixed-case”> CT 的放射治疗工作流程中,使用相同的方法来评估31名患者的 style =“ fixed-case”> GFM 迁移。计算出的距离被认为是 style =“ fixed-case”> GFM 迁移的量度。进行统计学检验以评估这组之间的任何差异。 style =“ fixed-case”> GFM CoM style =“ fixed-case”> DRR -和CkV-image在 style中的平均绝对距离差=“ fixed-case”> MRI -仅队列为1.7±1.4 mm。平均 style =“ fixed-case”> GFM 迁移量为1.2±0.7毫米。在两个队列的测量总距离之间没有发现显着差异(P = 0.37)。这表明,从 style =“ fixed-case”> GFM 植入程序获取的C-Arm X射线图像可用于确认 style =“ fixed-case”> GFM MRI -图像中识别。存在 style =“ fixed-case”> GFM 迁移,但这并不构成问题。

著录项

相似文献

  • 外文文献
  • 专利
代理获取

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