Academic Radiology
Volume 13, Issue 6 , Pages 670-677 , June 2006

3D Computerized Segmentation of Lung Volume With Computed Tomography

  • Xuejun Sun, PhD

      Affiliations

    • MRC231D, CANCONT, H. Lee Moffitt Cancer Center and Research Institute, Department of Interdisciplinary Oncology, College of Medicine, University of South Florida, 12902 Magnolia Drive, Tampa, FL 33612-9497
    • Corresponding Author InformationAddress correspondence to: X.S
  • ,
  • Haibo Zhang, MS

      Affiliations

    • Department of Computer Science, Shandong Normal University, Jinan, China
  • ,
  • Huichuan Duan, PhD

      Affiliations

    • Department of Computer Science, Shandong Normal University, Jinan, China

Received 21 December 2005 ,Revised 8 February 2006 ,Accepted 9 February 2006.

References 

  1. Landis SH , Murray T , Bolden S , Wingo PA . Cancer statistics 1999 . CA Cancer J Clin . 1999;49:8–31
  2. Hedlund LW , Anderson RF , Goulding PL , Beck JW , Effmann EL , Putman CE . Two methods for isolating the lung area of a CT scan for density information . Radiology . 1982;144:353–357
  3. Kiraly AP , Higgins WE , Hoffman EA , McLennan G , Reinhardt JM . 3D human airway segmentation for virtual bronchoscopy . Proc SPIE . 2002;4863:16–29
  4. Saba OI , Hoffman EA , Reinhardt JM . Maximizing quantitative accuracy of lung airway lumen and wall measures obtained from X-ray CT imaging . J Appl Physiol . 2003;95:1063–1075
  5. Zhao B , Gamsu G , Ginsberg MS , Jiang L , Schwartz L , Schwartz H . Automatic detection of small lung nodules on CT utilizing a local density maximum algorithm . J Appl Clin Med Phys . 2003;4:248–260
  6. Boriek AM , Liu S , Rodarte JR . Costal diaphragm curvature in dog . J Appl Physiol . 1993;55:527–533
  7. Denison DM , Morgan MDL , Millar AB . Estimation of regional gas and tissue volumes of the lung in supine man using computed tomography . Thorax . 1986;41:620–628
  8. Hu S , Hoffman EA , Reinhardt JM . Automatic lung segmentation for accurate quantization of volumetric X-ray CT images . IEEE Trans Med Imaging . 2001;20:490–498
  9. Kalender WA , Fichgte H , Bautz W , Skalej M . Semiautomatic evaluation procedures for quantitative CT of the lung . J Comput Assist Tomogr . 1991;15:248–255
  10. Brown MS , McNitt-Gray MF , Mankovich NJ , et al.   Method for segmenting chest CT image data using an anatomical model (preliminary results) . IEEE Trans Med Imaging . 1997;16:828–839
  11. Voci F , Eiho S , Sugimoto N , Sekiguchi H . Estimating the gradient threshold in the Perona-Malik equation . IEEE Signal Processing Magazine . 2004;21:39–46
  12. Lee JS . Digital image smoothing and the sigma filter . Comp Vis Graphics Image Proc . 1983;24:255–269
  13. Pham DL , Prince JL . An adaptive fuzzy C-means algorithm for image segmentation in the presence of intensity inhomogeneities . Pattern Recognition Lett . 1999;20:57–68
  14. Dunn JC . A fuzzy relative of the ISODATA process and its use in detecting compact well-separated clusters . J Cybern . 1973;3:32–57
  15. Bezdek JC . Pattern Recognition With Fuzzy Objective Function Algorithms . New York: Plenum; 1981;
  16. Rao M , Stough J , Chi YY , et al.   Comparison of human and automatic segmentations of kidneys from CT images . Int J Radiat Oncol Biol Phys . 2005;61:954–960
  17. Ali AA , Dale AM , Badea A , Johnson GA . Automated segmentation of neuroanatomical structures in multispectral MR microscopy of the mouse brain . NeuroImage . 2005;27:425–435
  18. Schroeder W , Martin K , Lorensen B . The Visualization Toolkit . 3rd ed.. U.S.A: Pearson; 2002;

PII: S1076-6332(06)00128-0

doi: 10.1016/j.acra.2006.02.039

Academic Radiology
Volume 13, Issue 6 , Pages 670-677 , June 2006