Interactive volume segmentation with differential image foresting transforms

dc.creatorFalcao, AX
dc.creatorBergo, FPG
dc.date2004
dc.dateSEP
dc.date2014-11-16T02:03:17Z
dc.date2015-11-26T17:22:43Z
dc.date2014-11-16T02:03:17Z
dc.date2015-11-26T17:22:43Z
dc.date.accessioned2018-03-29T00:10:08Z
dc.date.available2018-03-29T00:10:08Z
dc.identifierIeee Transactions On Medical Imaging. Ieee-inst Electrical Electronics Engineers Inc, v. 23, n. 9, n. 1100, n. 1108, 2004.
dc.identifier0278-0062
dc.identifierWOS:000223576800006
dc.identifier10.1109/TMI.2004.829335
dc.identifierhttp://www.repositorio.unicamp.br/jspui/handle/REPOSIP/60403
dc.identifierhttp://www.repositorio.unicamp.br/handle/REPOSIP/60403
dc.identifierhttp://repositorio.unicamp.br/jspui/handle/REPOSIP/60403
dc.identifier.urihttp://repositorioslatinoamericanos.uchile.cl/handle/2250/1283664
dc.descriptionThe absence of object information very often asks for considerable human assistance in medical image segmentation. Many interactive two-dimensional and three-dimensional (3-D) segmentation methods have been proposed, but their response time to user's actions should be considerably reduced to make them viable from the practical point of view. We circumvent this problem in the framework of the image foresting transform (IFT)-a general tool for the design of image operators based on connectivity-by introducing a new algorithm (DIFT) to compute sequences of IFTs in a differential way. We instantiate the DIFT algorithm for watershed-based and fuzzy-connected segmentations under two paradigms (single-object and multiple-object) and evaluate the efficiency gains of both approaches with respect to their linear-time implementation based on the nondifferential IFT. We show that the DIFT algorithm provides efficiency gains from 10 to 17, reducing the user's waiting time for segmentation with 3-D visualization on a common PC from 19-36 s to 2-3 s. We also show that the multiple-object approach is more efficient than the single-object paradigm for both segmentation methods.
dc.description23
dc.description9
dc.description1100
dc.description1108
dc.languageen
dc.publisherIeee-inst Electrical Electronics Engineers Inc
dc.publisherPiscataway
dc.publisherEUA
dc.relationIeee Transactions On Medical Imaging
dc.relationIEEE Trans. Med. Imaging
dc.rightsfechado
dc.rightshttp://www.ieee.org/publications_standards/publications/rights/rights_policies.html
dc.sourceWeb of Science
dc.subjectDijkstra's algorithm
dc.subjectfuzzy connectedness
dc.subjectgraph-search algorithms
dc.subjectimage analysis
dc.subjectimage foresting transform
dc.subjectmedical imaging
dc.subjectminimum-cost path forest
dc.subject3-D visualization
dc.subjectuser-assisted image segmentation
dc.subjectwatershed transform
dc.subjectLive-wire
dc.subjectFuzzy Connectedness
dc.subject3d Segmentation
dc.subjectMedical Images
dc.subjectMr-images
dc.subjectAlgorithms
dc.subjectObjects
dc.titleInteractive volume segmentation with differential image foresting transforms
dc.typeArtículos de revistas


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