【24h】

Developing a tool for the validation of quantitative DCE-MRI

机译:开发用于验证定量DCE-MRI的工具

获取原文

摘要

Dynamic Contrast-Enhanced Magnetic Resonance Imaging (DCE-MRI) is becoming an indispensable tool to non-invasively study tumor characteristics. However, many different DCE-analysis methods are currently being used. To compare and validate different methods, histology is the gold standard. For this purpose, exact co-localization between histology and MRI images is a prerequisite. In this study a methodology is developed to validate DCE-data with histology with an emphasis on correct registration of DCE-MRI and histological data. A pancreatic tumor was grown in a rat model. The tumor was dissected after MR imaging, embedded in paraffin, and cut into thin slices. These slices were stained with haematoxylin and eosin, digitized and stacked in a 3D volume. Next, the 3D histology was registered to ex-vivo SWI-weighted MR images, which in turn were registered to in-vivo SWI and DCE images to achieve correct co-localization. Semi-quantitative and quantitative parameters were calculated. Preliminary results suggest that both pharmacokinetic and heuristic DCE-parameters can discriminate between vital and non-vital tumor regions. The developed method offers the basis for an accurate spatial correlation between DCE-MRI derived parametric maps and histology, and facilitates the evaluation of different DCE-MRI analysis methods.
机译:动态对比度增强的磁共振成像(DCE-MRI)正成为非侵入性研究肿瘤特性的不可或缺的工具。但是,目前正在使用许多不同的DCE分析方法。要比较和验证不同的方法,组织学是金标准。为此目的,组织学和MRI图像之间的精确共同化是先决条件。在本研究中,开发了一种方法,以验证具有组织学的DCE数据,并强调正确的DCE-MRI和组织学数据。在大鼠模型中生长胰腺肿瘤。在MR成像后,将肿瘤解剖,嵌入在石蜡中,切成薄片。将这些切片用血红素和曙红染色,数字化并堆叠在3D体积中。接下来,将3D组织学登记给前体内SWI加权的MR图像,其又被登记到体内SWI和DCE图像以实现正确的共定位。计算半定量和定量参数。初步结果表明,药代动力学和启发式DCE参数可以区分生命和非重要的肿瘤区域。开发方法为DCE-MRI导出的参数图和组织学之间的准确空间相关性提供了基础,并有助于评估不同的DCE-MRI分析方法。

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