%0 Journal Article %J COMPUTERS IN BIOLOGY AND MEDICINE %D 2006 %T Quantitative analysis of pulmonary airway tree structures %X A 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. %B COMPUTERS IN BIOLOGY AND MEDICINE %C ANTIGA 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, %V 36 %P 974 - 996 %8 2006/// %@ 0010-4825 %G eng %N 9 %! COMPUT BIOL MED %0 Journal Article %J IEEE TRANSACTIONS ON MEDICAL IMAGING %D 2005 %T Matching and anatomical labeling of human airway tree %X Matching 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. %B IEEE TRANSACTIONS ON MEDICAL IMAGING %C BALLARD 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, LE %V 24 %P 1540 - 1547 %8 2005/// %@ 0278-0062 %G eng %N 12 %! IEEE T MED IMAGING %0 Journal Article %J LECTURE NOTES IN COMPUTER SCIENCE %D 2004 %T Assessment of intrathoracic airway trees: Methods and in vivo validation %B LECTURE NOTES IN COMPUTER SCIENCE %C BLAND 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 MADDA %V 3117 %P 341 - 352 %8 2004/// %@ 0302-9743 %G eng %! LECT NOTES COMPUT SCI %0 Journal Article %J ACADEMIC RADIOLOGY %D 2003 %T Characterization of the interstitial lung diseases via density-based and texture-based analysis of computed tomography images of lung structure and function %B ACADEMIC RADIOLOGY %C BAE 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 COXSON %V 10 %P 1104 - 1118 %8 2003/// %@ 1076-6332 %G eng %N 10 %! ACAD RADIOL %0 Journal Article %J LECTURE NOTES IN COMPUTER SCIENCE %D 2002 %T Segmentation, skeletonization, and branchpoint matching - A fully automated quantitative evaluation of human intrathoratic airway trees %B LECTURE NOTES IN COMPUTER SCIENCE %V 2489 %P 12 - 19 %8 2002/// %@ 0302-9743 %G eng %! LECT NOTES COMPUT SCI