Pulmonary lobe segmentation in CT examinations using implicit surface fitting

IEEE Transactions on Medical Imaging

Volumn 28, Issue 12, 2009, Pages 1986-1996

  Pu, Jiantao ^a   Zheng, Bin ^a   Leader, Joseph K ^a   Fuhrman, Carl ^a   Knollmann, Friedrich ^a   Klym, Amy ^a   Gur, David ^a  

^a UNIVERSITY OF PITTSBURGH SCHOOL OF MEDICINE   (United States)

Author keywords

Computed tomography (CT); Computer aided diagnosis; Lobe segmentation; Radial basis function (RBF)

Indexed keywords

CHEST CT; COMPUTED TOMOGRAPHY; CONSTRAINT POINTS; DIAGNOSTIC PROCESS; FISSURE SURFACE; IMPLICIT FUNCTION; IMPLICIT SURFACE FITTING; PERFORMANCE DETERIORATION; PRELIMINARY ASSESSMENT; RADIAL BASIS FUNCTIONS; RATING SCALE; SECTION THICKNESS; SEGMENTATION RESULTS; SLICE THICKNESS; TREATMENT PLANNING;

ATTITUDE CONTROL; BIOLOGICAL ORGANS; COMPUTERIZED TOMOGRAPHY; FIBER OPTIC SENSORS; IMAGE SEGMENTATION; RADIAL BASIS FUNCTION NETWORKS;

COMPUTER AIDED DIAGNOSIS;

ALGORITHM; ARTICLE; ARTIFICIAL INTELLIGENCE; AUTOMATED PATTERN RECOGNITION; CHRONIC OBSTRUCTIVE LUNG DISEASE; COMPUTER ASSISTED DIAGNOSIS; COMPUTER ASSISTED TOMOGRAPHY; HUMAN; IMAGE QUALITY; LUNG; METHODOLOGY; RADIOGRAPHY; REPRODUCIBILITY; SENSITIVITY AND SPECIFICITY; THREE DIMENSIONAL IMAGING;

ALGORITHMS; ARTIFICIAL INTELLIGENCE; HUMANS; IMAGING, THREE-DIMENSIONAL; LUNG; PATTERN RECOGNITION, AUTOMATED; PULMONARY DISEASE, CHRONIC OBSTRUCTIVE; RADIOGRAPHIC IMAGE ENHANCEMENT; RADIOGRAPHIC IMAGE INTERPRETATION, COMPUTER-ASSISTED; REPRODUCIBILITY OF RESULTS; SENSITIVITY AND SPECIFICITY; TOMOGRAPHY, X-RAY COMPUTED;

EID: 72249083099     PISSN: 02780062     EISSN: None     Source Type: Journal    
DOI: 10.1109/TMI.2009.2027117     Document Type: Article

References (39)

1. V. Modgil, S. Das, and R. Suri, "Anomalous lobar pattern of right lung: A case report," Int. J. Morphol., vol.24, no.1, pp. 506-507, 2006.
2. F. Venuta, E. A. Rendina, T. D. Giacomo, I. Flaishman, E. Guarino, A. M. Ciccone, and C. Ricci, "Technique to reduce air leaks after pulmonary lobectomy," Eur. J. Cardio-Thoracic Surg., vol.13, no.4, pp. 361-364, 1998.
3. I. Sluimer, A. Schilham, M. Prokop, and B. van Ginneken, "Computer analysis of computed tomography scans of the pulmonary: A survey," IEEE Trans. Med. Imag., vol.25, no.4, pp. 385-405, Apr. 2006.
4. K. Hayashi, A. Aziz, K. Ashizawa, H. Hayashi, K. Nagaoki, and H. Otsuji, "Radiographic and CT appearances of the major fissures," Radiograph., vol.21, no.4, pp. 861-874, 2001.
5. J. M. Kuhnigk, H. Hahn, M. Hindennach, V. Dicken, S. Krass, and H. O. Peitgen, "Pulmonary lobe segmentation by anatomy-guided three-dimensional watershed transform," Proc. SPIE, vol.5032, pp. 1482-1490, 2003.
6. X. Zhou, T. Hayashi, T. Hara, H. Fujita, R. Yokoyama, T. Kiryu, and H. Hoshi, "Automatic recognition of pulmonary lobes and fissures from multi-slice CT images," Proc. SPIE, vol.5370, pp. 1629-1633, 2004.
7. S. Saita, M. Kubo, Y. Kawata, N. Niki, H. Ohmatsu, and N. Moriyama, "An algorithm for the extraction of pulmonary fissures from low-dose multislice CT image," Syst. Comput. Jpn., vol.37, no.9, pp. 63-76, 2006. (Pubitemid 44085941)
8. L. Zhang, E. A. Hoffman, and J. M. Reinhardt, "Pulmonary lobe segmentation by graph search with 3-D shape constraints," Proc. SPIE, vol.4321, pp. 204-215, 2001.
9. L. Zhang and J. M. Reinhardt, "Detection of pulmonary lobar fissures using fuzzy logic," in Proc. SPIE, 1999, vol.3660, pp. 188-199.
10. L. Zhang, E. A. Hoffman, and J. M. Reinhardt, "Atlas-driven pulmonary lobe segmentation in volumetric X-ray CT images," IEEE Trans. Med. Imag., vol.25, no.1, pp. 1-16, Jan. 2006.
11. J. Wang, M. Betke, and J. P. Ko, "Pulmonary fissure segmentation on CT," Med. Image Anal., vol.10, pp. 530-547, 2006.
12. J. Wang, M. Betke, and J. P. Ko, "Shape-based curve growing model and adaptive regularization for pulmonary fissure segmentation in CT," in Lecture Notes in Computer Science. Berlin, Germany: Springer-Verlag, 2003, vol.3216, Medical Image Computing and Computer-Assisted Intervention, pp. 541-548.
13. M. Kubo, Y. Kawata, N. Niki, K. Eguchi, H. Ohmatsu, R. Kakinuma, M. Kaneko, M. Kusumoto, N. Moriyama, K. Mori, and H. Nishiyama, "Automatic extraction of pulmonary fissures from multidetector-row CT images," in Proc. IEEE Int. Conf. Image Process. (ICIP'01), 2001, pp. 1091-1094. (Pubitemid 33058179)
14. T. Kitasaka, Y. Nakada, K. Mori, Y. Suenaga, M. Mori, H. Takabatake, and H. Natori, "Recognition of lung lobes and its application to the bronchial structure analysis," in Proc. 18th Int. Conf. Pattern Recognit. (ICPR'06), 2006, vol.3, pp. 288-291.
15. R. Lukose, S. P. Sunitha, M. Daniel, S. M. Abraham, A. M. E. Alex, R. Thomas, V. Nair, S. M. Abraham, and M. E. Alex, "Morphology of the lungs: Variations in the lobes and fissures," Biomed., vol.19, no.3, pp. 227-232, 1999.
16. M. O. Ariyürek, N. Karabulut, S. N. Yelgeç, and M. Gülsün, "Anatomy of the minor fissure: Assessment with high-resolution CT and classification," Eur. Radiol., vol.12, no.1, pp. 175-180, 2004.
17. K. T. Bae, J. S. Kim, Y. H. Na, K. G. Kim, and J. H. Kim, "Pulmonary nodules: Automated detection on CT images with morphologic matching algorithm-preliminary results," Radiology, vol.236, pp. 286-294, 2005.
18. Y. Lee, T. Hara, H. Fujita, S. Itoh, and T. Ishigaki, "Automated detection of pulmonary nodules in helical CT images based on an improved template-matching technique," IEEE Trans. Med. Imag., vol.20, no.7, pp. 595-604, Jul. 2001.
19. G. D. Rubin, J. Lyo, D. S. Paik, A. Sherbondy, L. Chow, A. N. Leung, R. Mindelzun, S. E. Zinck, D. P. Naidich, and S. Napel, "Pulmonary nodules in MDCT scans: Impact of computer-aided detection," Radiology, vol.234, pp. 274-283, 2005.
20. M. S. Brown, M. F. McNitt-Gray, J. G. Goldin, R. D. Suh, J. W. Sayre, and D. R. Aberle, "Patient-specific models for lung nodule detection and surveillance in CT images," IEEE Trans. Med. Imag., vol.20, no.12, pp. 1242-1250, Dec. 2001.
21. Q.Li, S.Katsuragawa, and K. Doi, "Computer aided diagnostic scheme for lung nodule detection in digital chest radiographs by use of a multiple-template matching technique," Med. Phys., vol.28, no.10, pp. 2070-2076, 2001.
22. S. G. Armato, III, M. I. Giger, C. J. Moran, J. T. Blackburn, K. Doi, and H. MacMabon, "Computerized detection of pulmonary nodules on CT scans," Radiography, vol.19, pp. 1303-1311, 1999.
23. W. Park, E. Hoffman, and M. Sonka, "Segmentation of intrathoracic airway trees: A fuzzy logic approach," IEEE Trans. Med. Imag., vol.17, no.4, pp. 489-497, Aug. 1998.
24. J. Pu, J. Roos, C. Yi, S. Napel, G. D. Rubin GD, and D. S. Paik, "Adaptive border marching algorithm: Automatic lung segmentation on chest CT images," Comput. Med. Imag. Graphics, vol.32, no.6, pp. 452-462, 2008.
25. J. Pu, J. K.Leader, B. Zheng, F. Knollmann, C. Fuhrman, F. C. Sciurba, and D. Gur, "A computational geometry approach to automated pulmonary fissure segmentation in CT examinations," IEEE Trans. Med. Imag., vol.28, no.5, pp. 710-719, May 2009.
26. B. Horn, "Extended Gaussian images," in Proc. IEEE 72, New Orleans, LA, 1984, vol.12, pp. 1671-1686.
27. T. Berkmen, Y. M. Berkmen, and J. H. M. Austin, "Accessory fissures of the upper lobe of the left lung: CT and plain film appearance," Am. J. Roentgenol., vol.162, pp. 1287-1293, 1994.
28. M. Mahmut and H. Nishitani, "Evaluation of pulmonary lobe variations using multi-detector row computed tomography," J. Comput. Assist. Tomogr., vol.31, no.6, pp. 956-960, 2007.
29. A. Aziz, K. Ashizawa, K. Nagaoki, and K. Hayashi, "High resolution CT anatomy of the pulmonary fissures," Thoracic Imag., vol.19, no.3, pp. 186-191, 2004.
30. W. E. Lorensen and H. E. Cline, "Marching cubes: A high resolution three-dimensional surface construction algorithm," Comput. Graph., vol.21, no.4, pp. 163-169, 1987.
31. C. Bajaj, I. Ihm, and J. Warren, "Higher-order interpolation and least-squares approximation using implicit algebraic surfaces," ACM Trans. Graph., vol.12, no.4, pp. 327-347, 1993.
32. D. Keren and C. Gotsman, "Fitting curves and surfaces with constrained implicit polynomials," IEEE Trans. Pattern Anal. Mach. Intell., vol.21, no.1, pp. 31-41, 1999.
33. Q. Li, D. Wills, R. Phillips, W. J. Viant, J. G. Griffiths, and J. Ward, "Implicit fitting using radial basis functions with ellipsoid constraint," Comput. Graph. Forum, vol.23, no.1, pp. 55-69, 2004.
34. J. C. Carr, R. K. Beatson, J. B. Cherrie, T. J. Mitchell, W. R. Fright, B. C. McCallum, and T. R. Evans, "Reconstruction and representation of 3D objects with radial basis functions," in Proc. SIGGRAPH 2001, Los Angeles, CA, 2001, pp. 67-76.
35. J. Duchon, "Splines minimizing rotation-invariant semi-norms in Sobolev spaces," in Constructive Theory of Functions of Several Variable, A. Dolb and B. Eckmann, Eds. New York: Springer-Verlag, 1977, Lecture Notes in Mathematics, pp. 85-100.
36. D. Keren, D. Cooper, and J. Subrahmonia, "Describing complicated objects by implicit polynomials," IEEE Trans. Pattern Anal. Machine Intell., vol.16, no.1, pp. 38-53, 1994.
37. G. Turk and J. F. O'Brien, "Shape transformation using variational implicit functions," in Proc. ACM SIGGRAPH, Los Angeles, CA, 1999, pp. 335-342.
38. V. Chalana and Y. Kim, "A methodology for evaluation of boundary detection algorithms on medical images," IEEE Trans. Med. Imag., vol.16, no.5, pp. 642-652, Oct. 1997.
39. Y.J. Zhang, "A survey on evaluation methods for image segmentation," Pattern Recognit., vol.29, pp. 1335-1346, 1996.