Dynamic breast MRI: image registration and its impact on enhancement curve estimation.

Conference proceedings : ... Annual International Conference of the IEEE Engineering in Medicine and Biology Society. IEEE Engineering in Medicine and Biology Society. Annual Conference Pub Date : 2006-01-01 DOI:10.1109/IEMBS.2006.259958

Andrew Hill, Andrew Mehnert, Stuart Crozier, Carlos Leung, Stephen Wilson, Kerry McMahon, Dominic Kennedy

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引用次数: 14

Abstract

A novel algorithm for performing registration of dynamic contrast-enhanced (DCE) MRI data of the breast is presented. It is based on an algorithm known as iterated dynamic programming originally devised to solve the stereo matching problem. Using artificially distorted DCE-MRI breast images it is shown that the proposed algorithm is able to correct for movement and distortions over a larger range than is likely to occur during routine clinical examination. In addition, using a clinical DCE-MRI data set with an expertly labeled suspicious region, it is shown that the proposed algorithm significantly reduces the variability of the enhancement curves at the pixel level yielding more pronounced uptake and washout phases.

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动态乳房MRI:图像配准及其对增强曲线估计的影响。

提出了一种新的动态对比增强(DCE)乳房MRI数据配准算法。它基于一种称为迭代动态规划的算法，该算法最初是为解决立体匹配问题而设计的。使用人为扭曲的DCE-MRI乳房图像表明，所提出的算法能够在更大的范围内纠正运动和扭曲，而不是在常规临床检查中可能发生的。此外，使用具有专家标记的可疑区域的临床DCE-MRI数据集，表明所提出的算法显着降低了像素级增强曲线的可变性，产生更明显的吸收和冲洗阶段。

本文章由计算机程序翻译，如有差异，请以英文原文为准。

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Conference proceedings : ... Annual International Conference of the IEEE Engineering in Medicine and Biology Society. IEEE Engineering in Medicine and Biology Society. Annual Conference

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2.20

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0.00%

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