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dc.contributor.authorZhang, Donghao
dc.contributor.authorLiu, Siqi
dc.contributor.authorLiu, Sidong
dc.contributor.authorFeng, Dagan
dc.contributor.authorPeng, Hanchuan
dc.contributor.authorCai, Weidong
dc.date.accessioned2019-06-11
dc.date.available2019-06-11
dc.date.issued2016-06-16
dc.identifier.citationD. Zhang, S. Liu, S. Liu, D. Feng, H. Peng and W. Cai, "Reconstruction of 3D neuron morphology using Rivulet back-tracking," 2016 IEEE 13th International Symposium on Biomedical Imaging (ISBI), Prague, 2016, pp. 598-601. doi: 10.1109/ISBI.2016.7493339en_AU
dc.identifier.issn1945-8452
dc.identifier.urihttp://hdl.handle.net/2123/20514
dc.description.abstractThe 3D reconstruction of neuronal morphology is a powerful technique for investigating nervous systems. Due to the noises in optical microscopic images, the automated reconstruction of neuronal morphology has been a challenging problem. We propose a novel automatic neuron reconstruction algorithm, Rivulet, to target the challenges raised by the poor quality of the optical microscopic images. After the neuron images being de-noised with an anisotropic filter, the Rivulet algorithm combines multi-stencils fast-marching and iterative back-tracking from the geodesic farthest point on the segmented foreground. The neuron segments are dumped or merged according to a set of criteria at the end of each iteration. The proposed Rivulet tracing algorithm is evaluated with data provided from the BigNeuron Project. The experimental results demonstrate that Rivulet outperforms the compared state-of-the-art tracing methods when the images are of poor quality.en_AU
dc.publisherIEEEen_AU
dc.relationARC DP140100211
dc.rights© 2016 IEEE. Personal use of this material is permitted. Permission from IEEE must be obtained for all other uses, in any current or future media, including reprinting/republishing this material for advertising or promotional purposes, creating new collective works, for resale or redistribution to servers or lists, or reuse of any copyrighted component of this work in other works.en_AU
dc.titleReconstruction of 3D neuron morphology using Rivulet back-trackingen_AU
dc.typeConference paperen_AU
dc.type.pubtypePost-printen_AU


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