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首页> 外文期刊>Medical image analysis >Reconstruction of fetal brain MRI with intensity matching and complete outlier removal
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Reconstruction of fetal brain MRI with intensity matching and complete outlier removal

机译：强度匹配的胎儿脑MRI的重建和完全拆除

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摘要

We propose a method for the reconstruction of volumetric fetal MRI from 2D slices, comprising super-resolution reconstruction of the volume interleaved with slice-to-volume registration to correct for the motion. The method incorporates novel intensity matching of acquired 2D slices and robust statistics which completely excludes identified misregistered or corrupted voxels and slices. The reconstruction method is applied to motion-corrupted data simulated from MRI of a preterm neonate, as well as 10 clinically acquired thick-slice fetal MRI scans and three scan-sequence optimized thin-slice fetal datasets. The proposed method produced high quality reconstruction results from all the datasets to which it was applied. Quantitative analysis performed on simulated and clinical data shows that both intensity matching and robust statistics result in statistically significant improvement of super-resolution reconstruction. The proposed novel EM-based robust statistics also improves the reconstruction when compared to previously proposed Huber robust statistics. The best results are obtained when thin-slice data and the correct approximation of the point spread function is used. This paper addresses the need for a comprehensive reconstruction algorithm of 3D fetal MRI, so far lacking in the scientific literature.
机译：我们提出了一种从2D切片重建体积胎儿MRI的方法，包括使用切片对成分的体积的超分辨率重建，以校正运动。该方法包括所获取的2D片和鲁棒统计的新强度匹配，其完全排除识别的错误或损坏的体素和切片。将重建方法应用于从早产新生儿MRI模拟的运动损坏数据，以及10个临床获取的厚切片胎儿MRI扫描和三个扫描序列优化的薄片胎儿数据集。所提出的方法生产了来自应用的所有数据集的高质量重建结果。对模拟和临床数据进行的定量分析表明，强度匹配和鲁棒统计数据都会导致超分辨率重建的统计上显着提高。与以前提出的Huber稳健统计相比，拟议的新型EM基础的稳健统计也提高了重建。当使用薄片数据和点扩展功能的正确近似时，获得了最佳结果。本文缺乏科学文学，涉及3D胎儿MRI全面重建算法的需求。

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