Inproceedings: an article in a conference proceedings.
Automatic Brain Extraction in Fetal MRI using Multi-Atlas-based Segmentation
Title of the conference
Medical Imaging 2015: Image Processing
Spie-Int Soc Optical Engineering
Bellingham, March 20, 2015
Ourselin S, Styner M.A.
In fetal brain MRI, most of the high-resolution reconstruction algorithms rely on brain segmentation as a preprocessing step. Manual brain segmentation is however highly time-consuming and therefore not a realistic solution. In this work, we assess on a large dataset the performance of Multiple Atlas Fusion (MAF) strategies to automatically address this problem. Firstly, we show that MAF significantly increase the accuracy of brain segmentation as regards single-atlas strategy. Secondly, we show that MAF compares favorably with the most recent approach (Dice above 0.90). Finally, we show that MAF could in turn provide an enhancement in terms of reconstruction quality.
Fetal MRI, Brain Extraction, Template-based, Segmentation, Multi-Atlas Fusion
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