Analysis of dynamic MR breast images using a model of contrast enhancement.
Analysis of dynamic MR breast images using a model of contrast enhancement.
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DOI：
10.1016/s1361-8415(97)85011-6
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发表时间：
1997-04-01
影响因子：
10.9
通讯作者：
Moore, N
中科院分区：
文献类型：
--
作者：
Hayton, P;Brady, M;Moore, N
我们描述了一种乳腺 MRI 动态对比增强模型，旨在帮助放射科医生应对 X 射线乳房 X 光检查无效的情况。形态学开放后，通过动态规划算法从图像切片中分割出乳房。已经导出了药代动力学模型来适应注射造影剂后强度的上升，从而有利于研究不同推注注射模型的效果。药代动力学模型用于改进的 Horn-Schunck 算法，以校正七分钟采集期间的运动影响。结果显示肿瘤的显着定位并能够区分癌组织。特别是，我们用显示癌的图像来说明该方法，配准算法大大改善了癌的外观和定位。
We describe a model of dynamic contrast enhancement in breast MRI designed to aid the radiologist in cases for which X-ray mammography is ineffective. The breasts are segmented from the image slices by a dynamic programming algorithm after morphological opening. A pharmacokinetic model has been derived to fit the rise in intensities after injection of a contrast agent, in a way that facilitates investigation of the effects of different models of bolus injection. The pharmacokinetic model is used in a modified Horn-Schunck algorithm to correct for motion effects during the seven minute acquisition period. The results show significant localization of tumours and enable discrimination of cancerous tissue. In particular, we illustrate the approach with an image that shows a carcinoma, whose appearance and localization are greatly improved by the registration algorithm.