Abstract
The locus coeruleus (LC) is a small nucleus in the brain stem. It is gaining increasing interest of the neuroscientific community due to its potentially important role in the pathogenesis of several neurodegenerative diseases such as Alzheimer's disease. In this study, an existing LC segmentation approach has been improved by adding a preceding LC localization to reduce false positive segments. For the localization, we propose a network that can be trained using coordinate regression and allows insights into its function via attention maps.
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References
Betts MJ, Kirilina E, Otaduy MCG, et al. Locus coeruleus imaging as a biomarker for noradrenergic dysfunction in neurodegenerative diseases. Brain. 2019;142(9):2558–2571
Liu KY, Marijatta F, Hämmerer D, et al. Magnetic resonance imaging of the human locus coeruleus: a systematic review. Neuroscience & Biobehavioral Reviews. 2017;83:325–355.
Ҫiҫek O, Abdulkadir A, Lienkamp SS, et al. 3D U-Net: learning dense volumetric segmentation from sparse annotation. Med Image Comput Comput Assist Interv–MICCAI 2016. 2016; p. 424–432.
Dünnwald M, Betts MJ, Sciarra A, et al. Automated segmentation of the locus coeruleus from neuromelanin-sensitive 3T MRI using deep convolutional neural networks. Bildverarbeitung für die Medizin 2020. 2020; p. 61–66.
Ariz M, Abad RC, Castellanos G, et al. Dynamic atlas-based segmentation and quantification of euromelanin-rich brainstem structures in parkinson disease. IEEE Trans Med Imaging. 2019;38(3):813–823.
Tona KD, Keuken MC, de Rover M, et al. In vivo visualization of the locus coeruleus in humans: quantifying the test–retest reliability. Brain Struct Funct. 2017;222(9):4203–4217.
Keren NI, Lozar CT, Harris KC, et al. In vivo mapping of the human locus coeruleus. NeuroImage. 2009;47(4):1261–1267.
Nibali A, He Z, Morgan S, et al. Numerical coordinate regression with convolutional neural networks. arXiv:180107372 [cs]. 2018;.
Betts MJ, Cardenas-Blanco A, Kanowski M, et al. In vivo MRI assessment of the human locus coeruleus along its rostrocaudal extent in young and older adults. NeuroImage. 2017;163:150–159.
Kingma DP, Ba J. Adam: a method for stochastic optimization. arXiv:14126980 [cs]. 2017;.
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© 2021 Der/die Autor(en), exklusiv lizenziert durch Springer Fachmedien Wiesbaden GmbH, ein Teil von Springer Nature
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Dünnwald, M., Betts, M.J., Düzel, E., Oeltze-Jafra, S. (2021). Localization of the Locus Coeruleus in MRI via Coordinate Regression. In: Palm, C., Deserno, T.M., Handels, H., Maier, A., Maier-Hein, K., Tolxdorff, T. (eds) Bildverarbeitung für die Medizin 2021. Informatik aktuell. Springer Vieweg, Wiesbaden. https://doi.org/10.1007/978-3-658-33198-6_5
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DOI: https://doi.org/10.1007/978-3-658-33198-6_5
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