Airway tree segmentation from CT scans using gradient-guided 3D region growing

Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)

Volumn 5856 LNCS, Issue , 2009, Pages 247-254

  Fabijańska, Anna ^a   Janaszewski, Marcin ^a   Postolski, Michał ^a   Babout, Laurent ^a  

^a LODZ UNIVERSITY OF TECHNOLOGY   (Poland)

Author keywords

3D region growing; Airway tree; CT; Image segmentation

Indexed keywords

AIRWAY TREE SEGMENTATION; AIRWAY TREES; AUTOMATED ALGORITHMS; CT; CT SCAN; LOW ORDER; MORPHOLOGICAL GRADIENT; NEW APPROACHES; PULMONARY AIRWAYS; REGION GROWING; SEEDED REGION GROWING;

ALGORITHMS; COMPUTER VISION; D REGION; IMAGE SEGMENTATION; THREE DIMENSIONAL; TREES (MATHEMATICS);

COMPUTERIZED TOMOGRAPHY;

EID: 78651252170     PISSN: 03029743     EISSN: 16113349     Source Type: Book Series    
DOI: 10.1007/978-3-642-10268-4_29     Document Type: Conference Paper

References (14)

1. American Thoracic Society: Standards for the diagnosis and care of patients with chronic obstructive pulmonary disease. Am. J. Resp. Crit. Care Med. 152, S77-S121 (1995)
2. Berger, P., Perot, V., Desbarats, P., Tunon-de-Lara, J.M., Marthan, R., Laurent, F.: Airway wall thickness in cigarette smokers: quantitative thin-section CT assessment. Radiology 235(3), 1055-1064 (2005)
3. Reilly, J.: Using computed tomographic scanning to advance understanding of chronic obstructive pulmonary disease. Proc. Am. Thorac. Soc. 3(5), 450-455 (2006)
4. Felita, C., Prêteux, F., Beigelman-Aubry, C., Grenier, P.: Pulmonary airways: 3-D reconstruction from multislice CT and clinical investigation. IEEE Trans. Med. Imag. 23(11), 1353-1364 (2004)
5. Graham, M., Gibbs, J., Higgins, W.: Robust system for human airway-tree segmentation. In: Proc. SPIE, vol. 6914, pp. 69141J-1 - 69141J-18 (2008)
6. Busayarat, S., Zrimec, T.: Detection of bronchopulmonary segments on high-resolution CT-preliminary results. In: 20th IEEE Int. Symp. Computer-Based Medical Systems, pp. 199-204 (2007)
7. Sonka, M., Park, W., Hoffman, E.: Rule-based detection of intrathoracic airway trees. IEEE Trans. Med. Imag. 15(3), 314-326 (1996)
8. Brown, M., McNitt, M., Mankovich, N., Goldin, J., Aberle, D.: Knowledge-based automated technique for measuring total lung volume from CT. In: Proc. SPIE, vol. 2709, pp. 63-74 (1996)
9. Aykac, D., Hoffman, E., McLennan, G., Reinhardt, J.: Segmentation and analysis of the human airway tree from three-dimensional X-ray CT images. IEEE Trans. Med. Imag. 22(8), 940-950 (2003)
10. Pisupati, C., Wolf, L., Mitzner, W., Zerhouni, E.: Segmentation of 3D pulmonary trees using mathematical morphology. In: Mathematical morphology and its applications to image and signal processing, pp. 409-416. Kluwer Academic Publishers, Dordrecht (1996)
11. Wood, S., Zerhouni, A., Hoffman, E., Mitzner, W.: Measurement of three-dimensional lung tree structures using computed tomography. J. Appl. Physiol. 79(5), 1687-1697 (1995)
12. Mayer, D., Bartz, D., Ley, S., Thust, S., Heussel, C., Kauczor, H., Straßer, W.: Segmentation and virtual exploration of tracheobronchial trees. In: 17th Int. Cong. and Exhibition Computer Aided Radiology and Surgery, London, UK, pp. 35-40 (2003)
13. Chabat, F., Xiao-Peng, H., Hansell, D., Guang-Zhong, Y.: ERS transform for the automated detection of bronchial abnormalities on CT of the lungs. IEEE Trans. Med. Imag. 20(9), 942-952 (2001)
14. Strzecha, K., Fabijańska, A., Sankowski, D.: Segmentation algorithms for industrial image quantitative analysis system. In: 17th IMEKO World Congress Metrology for a Sustainable Development, p. 164. Rio de Janeiro, Brazil (2006)