Automatic thalamus and hippocampus segmentation from MP2RAGE: comparison of publicly available methods and implications for DTI quantification

Abstract : Purpose: In both structural and functional MRI, there is a need for accurate and reliable automatic segmentation of brain regions. Inconsistent segmentation reduces sensitivity and may bias results in clinical studies. The current study compares the performance of publicly available segmentation tools and their impact on diffusion quantification, emphasizing the importance of using recently developed segmentation algorithms and imaging techniques. Methods: Four publicly available, automatic segmentation methods (volBrain, FSL, FreeSurfer and SPM) are compared to manual segmentation of the thalamus and hippocampus imaged with a recently proposed T1-weighted MRI sequence (MP2RAGE). We evaluate morphometric accuracy on 22 healthy subjects and impact on diffusivity measurements obtained from aligned diffusion weighted images on a subset of 10 subjects. Results Compared to manual segmentation, the highest Dice similarity index of the thalamus is obtained with volBrain using a local library (M=0.913, SD=0.014) followed by volBrain using an external library (M=0.868, SD=0.024), FSL (M=0.806, SD=0.034), FreeSurfer (M=0.798, SD=0.049), and SPM (M=0.787, SD=0.031). The same order is found for hippocampus with volBrain local (M=0.892, SD=0.016), volBrain external (M=0.859, SD=0.014), FSL (M=0.808, SD=0.017), FreeSurfer (M=0.771, SD=0.023), and SPM (M=0.735, SD=0.038). For diffusivity measurements, volBrain provides values closest to those obtained from manual segmentations. volBrain is the only method where FA values do not differ significantly from manual segmentation of the thalamus. Conclusions Overall we find that volBrain is superior in thalamus and hippocampus segmentation compared to FSL, FreeSurfer and SPM. Furthermore, the choice of segmentation technique and training library affects quantitative results from diffusivity measures in thalamus and hippocampus.
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International Journal of Computer Assisted Radiology and Surgery, Springer Verlag, 2016, <10.1007/s11548-016-1433-0>
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Soumis le : lundi 11 juillet 2016 - 18:33:09
Dernière modification le : jeudi 14 juillet 2016 - 01:02:04

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Erhard Næss-Schmidt, Anna Tietze, Jakob Udby Blicher, Mikkel Petersen, Irene K. Mikkelsen, et al.. Automatic thalamus and hippocampus segmentation from MP2RAGE: comparison of publicly available methods and implications for DTI quantification. International Journal of Computer Assisted Radiology and Surgery, Springer Verlag, 2016, <10.1007/s11548-016-1433-0>. <hal-01344412>

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