首页> 外文会议>Conference on ultrasonic imaging and tomography >3D Ultrasound Computer Tomography: Update from a clinical study
【24h】

3D Ultrasound Computer Tomography: Update from a clinical study

机译:3D超声计算机断层扫描:一项临床研究的最新进展

获取原文

摘要

Ultrasound Computer Tomography (USCT) is a promising new imaging method for breast cancer diagnosis. We developed a 3D USCT system and tested it in a pilot study with encouraging results: 3D USCT was able to depict two carcinomas, which were present in contrast enhanced MRI volumes serving as ground truth. To overcome severe differences in the breast shape, an image registration was applied. We analyzed the correlation between average sound speed in the breast and the breast density estimated from segmented MRIs and found a positive correlation with R=0.70. Based on the results of the pilot study we now carry out a successive clinical study with 200 patients. For this we integrated our reconstruction methods and image post-processing into a comprehensive workflow. It includes a dedicated DICOM viewer for interactive assessment of fused USCT images. A new preview mode now allows intuitive and faster patient positioning. We updated the USCT system to decrease the data acquisition time by approximately factor two and to increase the penetration depth of the breast into the USCT aperture by 1 cm. Furthermore the compute-intensive reflectivity reconstruction was considerably accelerated, now allowing a sub-millimeter volume reconstruction in approximately 16 minutes. The updates made it possible to successfully image first patients in our ongoing clinical study.
机译:超声计算机断层扫描(USCT)是一种有前途的乳腺癌诊断新成像方法。我们开发了3D USCT系统,并在一项初步研究中对其进行了测试,并获得了令人鼓舞的结果:3D USCT能够描绘出两种癌,它们以增强的MRI体积对比显示为基础。为了克服乳房形状的严重差异,应用了图像配准。我们分析了乳腺平均声速与分段MRI估计的乳腺密度之间的相关性,发现与R = 0.70呈正相关。根据初步研究的结果,我们现在对200名患者进行了连续的临床研究。为此,我们将重建方法和图像后处理集成到一个全面的工作流程中。它包括一个专用的DICOM查看器,用于交互式评估融合的USCT图像。现在,新的预览模式允许直观,更快地定位患者。我们更新了USCT系统,以将数据获取时间减少了大约两倍,并使乳房进入USCT孔的穿透深度增加了1厘米。此外,计算密集型反射率的重建大大加快了,现在可以在大约16分钟内重建亚毫米的体积。这些更新使我们能够在正在进行的临床研究中成功为第一批患者成像。

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