4D iterative reconstruction of brain fMRI in the moving fetus
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arXiv
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| Main Authors: | , , , , , , , , , , |
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| Format: | Preprint |
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2021
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| _version_ | 1866914989806190592 |
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| author | Taymourtash, Athena Kebiri, Hamza Tourbier, Sébastien Schwartz, Ernst Nenning, Karl-Heinz Licandro, Roxane Sobotka, Daniel Lajous, Hélène de Dumast, Priscille Cuadra, Meritxell Bach Langs, Georg |
| author_facet | Taymourtash, Athena Kebiri, Hamza Tourbier, Sébastien Schwartz, Ernst Nenning, Karl-Heinz Licandro, Roxane Sobotka, Daniel Lajous, Hélène de Dumast, Priscille Cuadra, Meritxell Bach Langs, Georg |
| contents | Resting-state functional Magnetic Resonance Imaging (fMRI) is a powerful imaging technique for studying functional development of the brain in utero. However, unpredictable and excessive movement of fetuses has limited clinical application since it causes substantial signal fluctuations which can systematically alter observed patterns of functional connectivity. Previous studies have focused on the accurate estimation of the motion parameters in case of large fetal head movement and used a 3D single step interpolation approach at each timepoint to recover motion-free fMRI images. This does not guarantee that the reconstructed image corresponds to the minimum error representation of fMRI time series given the acquired data. Here, we propose a novel technique based on four dimensional iterative reconstruction of the scattered slices acquired during fetal fMRI. The accuracy of the proposed method was quantitatively evaluated on a group of real clinical fMRI fetuses. The results indicate improvements of reconstruction quality compared to the conventional 3D interpolation approach. |
| format | Preprint |
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arxiv_https___arxiv_org_abs_2111_11394 |
| institution | arXiv |
| publishDate | 2021 |
| record_format | arxiv |
| spellingShingle | 4D iterative reconstruction of brain fMRI in the moving fetus Taymourtash, Athena Kebiri, Hamza Tourbier, Sébastien Schwartz, Ernst Nenning, Karl-Heinz Licandro, Roxane Sobotka, Daniel Lajous, Hélène de Dumast, Priscille Cuadra, Meritxell Bach Langs, Georg Image and Video Processing Computer Vision and Pattern Recognition Medical Physics Resting-state functional Magnetic Resonance Imaging (fMRI) is a powerful imaging technique for studying functional development of the brain in utero. However, unpredictable and excessive movement of fetuses has limited clinical application since it causes substantial signal fluctuations which can systematically alter observed patterns of functional connectivity. Previous studies have focused on the accurate estimation of the motion parameters in case of large fetal head movement and used a 3D single step interpolation approach at each timepoint to recover motion-free fMRI images. This does not guarantee that the reconstructed image corresponds to the minimum error representation of fMRI time series given the acquired data. Here, we propose a novel technique based on four dimensional iterative reconstruction of the scattered slices acquired during fetal fMRI. The accuracy of the proposed method was quantitatively evaluated on a group of real clinical fMRI fetuses. The results indicate improvements of reconstruction quality compared to the conventional 3D interpolation approach. |
| title | 4D iterative reconstruction of brain fMRI in the moving fetus |
| topic | Image and Video Processing Computer Vision and Pattern Recognition Medical Physics |
| url | https://arxiv.org/abs/2111.11394 |