2014
DOI: 10.1016/j.media.2014.07.003
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Abstract: The VESSEL12 (VESsel SEgmentation in the Lung) challenge objectively compares the performance of different algorithms to identify vessels in thoracic computed tomography (CT) scans. Vessel segmentation is fundamental in computer aided processing of data generated by 3D imaging modalities. As manual vessel segmentation is prohibitively time consuming, any real world application requires some form of automation. Several approaches exist for automated vessel segmentation, but judging their relative merits is diff… Show more

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Cited by 137 publications
(104 citation statements)
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“…Most of the vessel centerline extraction methods generally focus on a particular anatomical region, such as the heart [ (Schaap et al, 2009), evaluate methods for coronary artery centerline extraction], the neck [ (Hameeteman et al, 2011), evaluate methods that segment the carotid arteries], brain [(Flasque et al, 2001), present a method for cerebral vessel tree segmentation], and lungs [ (Lo et al, 2012;Rudyanto et al, 2014), compares algorithms for segmenting blood vessels and extracting the airway tree]. A few methods make use of an atlas for segmenting vessel structures, employing in this way the prior anatomical knowledge to drive the vessel segmentation.…”
Section: Previous Workmentioning
confidence: 99%
“…Most of the vessel centerline extraction methods generally focus on a particular anatomical region, such as the heart [ (Schaap et al, 2009), evaluate methods for coronary artery centerline extraction], the neck [ (Hameeteman et al, 2011), evaluate methods that segment the carotid arteries], brain [(Flasque et al, 2001), present a method for cerebral vessel tree segmentation], and lungs [ (Lo et al, 2012;Rudyanto et al, 2014), compares algorithms for segmenting blood vessels and extracting the airway tree]. A few methods make use of an atlas for segmenting vessel structures, employing in this way the prior anatomical knowledge to drive the vessel segmentation.…”
Section: Previous Workmentioning
confidence: 99%
“…Numerous studies have been published on vessel segmentation [2], [3], but few of them address the issue of vessel quantification. If a binary segmentation is available, a straightforward quantification approach consists of measuring diameters from cross-sectional areas (CSA) extracted from 2D sections [4], thus discarding vessels whose orientation is not perpendicular to the axial plane.…”
Section: Purposementioning
confidence: 99%
“…The major part of such studies focuses on the coronary artery tree (CAT), 83,84 but there are several works developed for the pulmonary arteries, [85][86][87][88] cerebral arteries, 89 the carotid artery, 90 and vessels of the retina. …”
mentioning
confidence: 99%