小鼠子宫内胎儿组织MRI序列比对

A. Akselrod-Ballin, R. Avni, M. Neeman
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引用次数: 1

摘要

由于小鼠胚胎的周期性和非周期性运动、小组织和多个胚胎涉及,子宫内3D MRI分析是困难的。本文提出了一种用于孕鼠MRI中胎儿组织序列比对的自动算法。该算法扩展了我们以前的算法,允许在困难的新型小动物应用中在3D MR序列之间进行时间跟踪。该算法基于特征结合强度和几何信息,通过特征对应和变换模型交替优化使配准能量函数最小化。在一组胎儿肝脏和胎盘的MRI采集上的实验验证证明了该方法的高准确性和前景。结果证实,小鼠多胎妊娠可以自动获得发育指标。
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Sequence alignment of in-utero fetal tissue MRI in mice
In-utero 3D MRI analysis of embryos in mice is difficult due to the periodic and non-periodic motion, small tissues and multiple embryos involved. This paper presents an automated algorithm for serial alignment of fetal tissue in MRI of pregnant mice. The algorithm extends our former algorithm to allow follow up across time between 3D MR sequences in a difficult novel small animal application. The algorithm is based on features combining intensity and geometric information and the registration energy function is minimized by alternating optimization with regard to the feature correspondence and transformation model. Experimental validation on a set of MRI acquisition with fetal livers and placentas demonstrate the high accuracy and promise of the approach. The results confirm that measures of development can be automatically derived from multifetal pregnancy in mice.
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