首页> 外文会议>Physiology, Function, and Structure from Medical Images pt.1; Progress in Biomedical Optics and Imaging; vol.6,no.23 >Volumetric analysis of tumors in rodents using the variable resolution x-ray (VRX) CT-scanner
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Volumetric analysis of tumors in rodents using the variable resolution x-ray (VRX) CT-scanner

机译:使用可变分辨率X射线(VRX)CT扫描仪对啮齿动物中的肿瘤进行体积分析

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摘要

The Variable Resolution X-ray (VRX) CT system, developed at the UTHSC, Memphis, has the potential for use in animal imaging. Animal models of tumor progression and pharmacological impact are becoming increasingly important in understanding the molecular and mechanistic basis of tumor development. In general, CT-imaging offers several advantages in animal research: a fast throughput of seconds to minutes reducing the physiological stress animals are exposed to, and it is an inexpensive modality affordable to many animal laboratories. We are developing the VRX CT scanner as a non-invasive imaging modality to measure tumor volume, progression, and metastasis. From the axial images taken by the VRX CT-scanner, tumor area was measured and the tumor volume was calculated. Animals were also imaged using an optical liquid nitrogen-cooled CCD camera to detect tumor fluorescence. A simple image fusion with a planner x-ray image was used to ascertain the position of the tumors, animals were then sacrificed the tumors excised, and the tumor volume calculated by physical measurements. Furthermore, using a specially designed phantom with three spheres of different volumes, we demonstrated that our system allowed us to estimate the volume with up to 10% accuracy; we expect this to increase dramatically in the next few months.
机译:在孟菲斯的UTHSC开发的可变分辨率X射线(VRX)CT系统具有在动物成像中使用的潜力。肿瘤进展和药理作用的动物模型在理解肿瘤发展的分子和机理基础上变得越来越重要。通常,CT成像在动物研究中具有多个优势:数秒至数分钟的快速通量可减少动物受到的生理压力,并且它是许多动物实验室都能负担得起的廉价设备。我们正在开发VRX CT扫描仪,将其作为一种非侵入性的成像方式来测量肿瘤的体积,进展和转移。根据VRX CT扫描仪拍摄的轴向图像,测量肿瘤面积并计算肿瘤体积。还使用光学液氮冷却的CCD相机对动物进行成像,以检测肿瘤的荧光。使用简单的图像与计划器X射线图像融合来确定肿瘤的位置,然后将动物处死并切除肿瘤,并通过物理测量来计算肿瘤体积。此外,使用具有三个不同体积球体的特殊设计的模型,我们证明了我们的系统使我们能够以高达10%的精度估算体积;我们预计在接下来的几个月中这一数字将急剧增加。

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