Event Abstract Back to Event Manual Segmentation of Fiber Tracts with Bundles of Interest Paolo Avesani1*, Eleftherios Garyfallidis2, Emanuele Olivetti1 and Stephan Gerhard3 1 CIMeC Center for Mind/Brain Sciences, Italy 2 University of Cambridge, United Kingdom 3 ETH Zurich, Switzerland Brain connectivity analysis investigates the connections between different areas in the brain. Anatomical connectivity refers to the structural links within the white matter, which consists of billions of neuronal axons. Diffusion MRI (dMRI) is a magnetic resonance imaging technique which provides the information to reconstruct white matter fibers. A reconstructed fiber is called streamline or track. The set of all reconstructed tracks is called tractography. In neurological studies and presurgical planning, the segmentation of the network of white matter fibers into known anatomically structures, called fiber bundles or fiber tracts, is a task of growing interest. The current procedures and tools to manually segment a fiber tract are based on the notion of region of interest (ROI). The segmentation of the fiber tract of interest is performed by defining two or more ROIs in order to localize where the related tracks start and end. The anatomical fiber tract is obtained by filtering the streamlines that cross the ROIs. This approach has some important drawbacks. First, it tends to underestimate the fiber tract geometry since it does not retain the streamlines that are broken in one or more points in their path due to incorrect reconstruction. Second, the manual design of the ROIs is a challenging task which is based on the, possibly inaccurate, alignment of the tracks to a structural scan (e.g T1 or T2). Third, with ROIs the user has to face the complexity of navigating the full cluttered and densely packed tractography. We propose an alternative approach based on the notion of bundle of interest (BOI). A BOI is defined as a set of tracks sharing similar shape and spatial characteristics. The proposed approach for manual segmentation is based on direct interaction of the user with the tracks, in contrast with the indirect method based on ROIs. The intuitive idea is to provide the user with a summary of the tractography. This summary is defined by clustering the streamlines into a set of representative bundles and then showing one representative track per bundle. The task of manual segmentation is conceived as an iterative process where the user alternates a phase of bundle-representative selection to a phase of re-clustering the selected bundles into smaller bundles. The selection of bundles aims to best approximate the target fiber tract, while the bundle re-clustering step allows the user to work incrementally at finer detail. Keywords: Neuroimaging, brain connectivity, dMRI, imaging techniques, fiber bundles Conference: 5th INCF Congress of Neuroinformatics, Munich, Germany, 10 Sep - 12 Sep, 2012. Presentation Type: Demo Topic: Neuroinformatics Citation: Avesani P, Garyfallidis E, Olivetti E and Gerhard S (2014). Manual Segmentation of Fiber Tracts with Bundles of Interest. Front. Neuroinform. Conference Abstract: 5th INCF Congress of Neuroinformatics. doi: 10.3389/conf.fninf.2014.08.00084 Copyright: The abstracts in this collection have not been subject to any Frontiers peer review or checks, and are not endorsed by Frontiers. They are made available through the Frontiers publishing platform as a service to conference organizers and presenters. The copyright in the individual abstracts is owned by the author of each abstract or his/her employer unless otherwise stated. Each abstract, as well as the collection of abstracts, are published under a Creative Commons CC-BY 4.0 (attribution) licence (https://creativecommons.org/licenses/by/4.0/) and may thus be reproduced, translated, adapted and be the subject of derivative works provided the authors and Frontiers are attributed. For Frontiers’ terms and conditions please see https://www.frontiersin.org/legal/terms-and-conditions. Received: 21 Mar 2013; Published Online: 27 Feb 2014. * Correspondence: Dr. Paolo Avesani, CIMeC Center for Mind/Brain Sciences, Trento, Italy, paolo.avesani@unitn.it Login Required This action requires you to be registered with Frontiers and logged in. To register or login click here. Abstract Info Abstract The Authors in Frontiers Paolo Avesani Eleftherios Garyfallidis Emanuele Olivetti Stephan Gerhard Google Paolo Avesani Eleftherios Garyfallidis Emanuele Olivetti Stephan Gerhard Google Scholar Paolo Avesani Eleftherios Garyfallidis Emanuele Olivetti Stephan Gerhard PubMed Paolo Avesani Eleftherios Garyfallidis Emanuele Olivetti Stephan Gerhard Related Article in Frontiers Google Scholar PubMed Abstract Close Back to top Javascript is disabled. Please enable Javascript in your browser settings in order to see all the content on this page.
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