01701nas a2200133   4500008004100000020001400041245006200055210006200117260026900179300001400448490000700462520105800469856004001527       2006                        eng d  a0010-482500aQuantitative analysis of pulmonary airway tree structures0 aQuantitative analysis of pulmonary airway tree structures  aANTIGA L, 2003, IEEE T MED IMAGING, V22, P674, DOI10.1109/TMI.2003.812261
AYLWARD SR, 2002, IEEE T MED IMAGING, V21, P61
BLAND JM, 1986, LANCET, V1, P307
BORGEFORS G, 1984, COMPUT VISION GRAPH, V27, P321
BOUIX S, 2003, IEEE C COMP VIS PATT, P449
CHEN ZK, c2006///  a974 - 9960 v363 aA method for computationally efficient skeletonization of three-dimensional tubular structures is reported. The method is specifically targeting skeletonization of vascular and airway tree structures in medical images but it is general and applicable to many other skeletonization tasks. The developed approach builds on the following novel concepts and properties: fast curve-thinning algorithm to increase computational speed, endpoint re-checking to avoid generation of spurious side branches, depth-and-length sensitive pruning, and exact tree-branch partitioning allowing branch volume and surface measurements. The method was validated in computer and physical phantoms and in vivo CT scans of human lungs. The validation studies demonstrated sub-voxel accuracy of branch point positioning, insensitivity to changes of object orientation, and high reproducibility of derived quantitative indices of the tubular structures offering a significant improvement over previously reported methods (p ≪ 0.001). © 2005 Elsevier Ltd. All rights reserved.  uhttps://www.inf.szte.hu/en/node/91701653nas a2200133   4500008004100000020001400041245005800055210005800113260026900171300001600440490000700456520101600463856004001479       2005                        eng d  a0278-006200aMatching and anatomical labeling of human airway tree0 aMatching and anatomical labeling of human airway tree  aBALLARD DH, 1982, COMPUTER VISIONBOYDEN EA, 1955, SEGMENTAL ANATOMY LU
CARRAGHAN R, 1990, OPER RES LETT, V9, P375
GAREY MR, 1979, COMPUTERS INTRACTABI
KITAOKA H, 2002, P MICCAI 2002 TOKYO, P1
MORI K, 2000, IEEE T MED IMAGING, V19, P103
PALAGYI K, 2003, LEc2005///  a1540 - 15470 v243 aMatching of corresponding branchpoints between two human airway trees, as well as assigning anatomical names to the segments and branchpoints of the human airway tree, are of significant interest for clinical applications and physiological studies. In the past, these tasks were often performed manually due to the lack of automated algorithms that can tolerate false branches and anatomical variability typical for in vivo trees. In this paper, we present algorithms that perform both matching of branchpoints and anatomical labeling of in vivo trees without any human intervention and within a short computing time. No hand-pruning of false branches is required. The results from the automated methods show a high degree of accuracy when validated against reference data provided by human experts. 92.9% of the verifiable branchpoint matches found by the computer agree with experts' results. For anatomical labeling, 97.1 % of the automatically assigned segment labels were found to be correct. © 2005 IEEE.  uhttps://www.inf.szte.hu/en/node/91800655nas a2200121   4500008004100000020001400041245007700055210006900132260026900201300001400470490000900484856004000493       2004                        eng d  a0302-974300aAssessment of intrathoracic airway trees: Methods and in vivo validation0 aAssessment of intrathoracic airway trees Methods and in vivo val  aBLAND JM, 1986, LANCET, V1, P307CHEN ZK, 2003, COMPUT MED IMAG GRAP, V27, P469, DOI
10.1016/S0895-6111(03)00039-9
GERIG G, 1993, LECT NOTES COMPUTER, V687, P94
KITAOKA H, 1999, J APPL PHYSIOL, V87, P2207
KONG TY, 1989, COMPUT VISION GRAPH, V48, P357
MADDAc2004///  a341 - 3520 v3117  uhttps://www.inf.szte.hu/en/node/91900739nas a2200121   4500008004100000020001400041245016100055210006900216260026900285300001600554490000700570856004000577       2003                        eng d  a1076-633200aCharacterization of the interstitial lung diseases via density-based and texture-based analysis of computed tomography images of lung structure and function0 aCharacterization of the interstitial lung diseases via densityba  aBAE KT, 1997, RADIOLOGY, V203, P705BENTLEY MD, 1994, CIRC RES, V74, P945
CHULHO W, 2003, J APPL PHYSIOL, V94, P2483
CLARKE LP, 2001, ACAD RADIOL, V8, P447
COXSON H, 2003, AM J RESP CRIT CARE, V167, A81
COXSON H, 2003, AM J RESP CRIT CARE, V167, A81
COXSONc2003///  a1104 - 11180 v10  uhttps://www.inf.szte.hu/en/node/93400459nas a2200121   4500008004100000020001400041245014000055210006900195260001200264300001200276490000900288856004000297       2002                        eng d  a0302-974300aSegmentation, skeletonization, and branchpoint matching - A fully automated quantitative evaluation of human intrathoratic airway trees0 aSegmentation skeletonization and branchpoint matching A fully au  c2002///  a12 - 190 v2489  uhttps://www.inf.szte.hu/en/node/960