Segmentation of the central-chest lymph nodes in 3D MDCT images

Computers in Biology and Medicine

Volumn 41, Issue 9, 2011, Pages 780-789

  Lu, Kongkuo ^a,b   Higgins, William E ^a  

^a The Pennsylvania State University   (United States)

^b PHILIPS RESEARCH LABORATORIES   (Netherlands)

Author keywords

3D imaging; Image segmentation; Live wire; Lung cancer; Lymph node; MDCT; Thoracic imaging

Indexed keywords

3D IMAGING; LIVE WIRE; LUNG CANCER; LYMPH NODE; MDCT; THORACIC IMAGING;

BIOLOGICAL ORGANS; BODY FLUIDS; COMPUTERIZED TOMOGRAPHY; DISEASES; IMAGE SEGMENTATION; WIRE;

THREE DIMENSIONAL;

ACCURACY; AFTERIMAGE; ARTICLE; CANCER STAGING; CENTRAL CHEST LYMPH NODE; COMPUTER ANALYSIS; COMPUTER ASSISTED DIAGNOSIS; COMPUTER SYSTEM; DIAGNOSTIC ACCURACY; DIAGNOSTIC TEST ACCURACY STUDY; HUMAN; HUMAN TISSUE; IMAGE ANALYSIS; IMAGE PROCESSING; IMAGE QUALITY; LUNG CANCER; LYMPH NODE; MULTIDETECTOR COMPUTED TOMOGRAPHY; PRIORITY JOURNAL; REPRODUCIBILITY; SINGLE CLICK LIVE WIRE; SINGLE SECTION LIVE WIRE; THREE DIMENSIONAL IMAGING; THREE DIMENSIONAL MULTIDETECTOR COMPUTED TOMOGRAPHY;

ALGORITHMS; HUMANS; IMAGE PROCESSING, COMPUTER-ASSISTED; LUNG NEOPLASMS; LYMPH NODES; MULTIDETECTOR COMPUTED TOMOGRAPHY; NEOPLASM STAGING; RADIOGRAPHY, THORACIC; REPRODUCIBILITY OF RESULTS; THORAX;

EID: 80051666685     PISSN: 00104825     EISSN: 18790534     Source Type: Journal    
DOI: 10.1016/j.compbiomed.2011.06.014     Document Type: Article

References (28)

1. Mountain C. Staging classification of lung cancer. A critical evaluation. Clin. Chest Med. 2002, 23(1):103-121.
2. Torabi M., Aquino S.L., Harisinghani M.G. Current concepts in lymph node imaging. J. Nucl. Med. 2004, 45(9):1509-1518.
3. Goldstraw P., Crowley J., Chansky K., Giroux D.J., Groome P.A., et al. The IASLC lung cancer staging project: proposals for the revision of the TNM stage groupings in the forthcoming edition of the TNM classification of malignant tumours. J. Thorac. Oncol. 2007, 2(8):706-714.
4. Ueno J., Murase T., Yoneda K., Tsujikawa T., Sakiyama S., Kondoh K. Three-dimensional imaging of thoracic diseases with multi-detector row CT. J. Med. Invest. 2004, 51(3-4):163-170.
5. Dalrymple N.C., Prasad S.R., Freckleton M.W., Chintapalli K.N. Informatics in radiology: introduction to the language of three-dimensional imaging with multidetector CT. Radiographics 2005, 25(5):1409-1428.
6. Vining D.J., Hemler P.F., Stelts D.R., Ahn D.K., Ge Y., Hunt G.W., Siege C., McCorquodale D., Honea D.M. Virtual endoscopy: quicker and easier disease evaluation. SPIE Medical Imaging 1997: Physiology and Function from Multidimensional Images 1997, vol. 303:415-423.
7. McAdams H.P., Goodman P.C., Kussin P. Virtual bronchoscopy for directing transbronchial needle aspiration of hilar and mediastinal lymph nodes: a pilot study. Am. J. Roentgenol. 1998, 170(5):1361-1364.
8. Honea D., Ge Y., Snyder W., Hemler P., Vining D. Lymph node segmentation using active contours. SPIE Med. Imaging 1997, 3034:265-273.
9. Honea D., Snyder W. Three-dimensional active surface approach to lymph node segmentation. SPIE Conf. Image Process. 1999, 3661:1003-1011.
10. Yan J., Zhuang T., Zhao B., Schwartz L.H. Lymph node segmentation from CT images using fast marching method. Comput. Med. Imaging Graphics 2004, 28(1).
11. Kiraly A.P., Naidich D.P., Guendel L., Zhang L., Novak C.L. Novel method and applications for labeling and identifying lymph nodes. SPIE Medical Imaging 2007: Physiology, Function, and Structure from Medical Images 2007, vol. 6511:651111-1-651111-9.
12. Feuerstein M., Deguchi D., Kitasaka T., Iwano S., Imaizumi K., Hasegawa Y., Suenaga Y., Mori K. Automatic mediastinal lymph node detection in chest CT. SPIE Medical Imaging 2009: Computer-Aided Diagnosis 2009, vol. 7260. 72600V-1-72600V-12.
13. Dornheim J., Seim H., Preim B., Hertel I., Strauss G. Segmentation of neck lymph nodes in CT datasets with stable 3D mass-spring models. Acad. Radiol. 2007, 14(11):1389-1399.
14. Maleike D., Fabel M., Tetzlaff R., Tengg-Kobligk H.V., Heimann T., Meinzer H.-P., Wolf I. Lymph node segmentation on CT image by a shape model guided deformable surface method. SPIE Medical Imaging 2008: Imaging Processing 2008, vol. 6914. 69141S-1-69141S-8.
15. Mortensen E.N., Barrett W.A. Interactive segmentation with intelligent scissors. Graphical Models Image Process. 1998, 60(5):349-384.
16. Falcão A.X., Udupa J.K., Samarasekera S., Sharma S. User-steered image segmentation paradigms: live wire and live lane. Graphical Models Image Process. 1998, 60(4):233-260.
17. Souza A., Udupa J.K., Grevera G., Sun Y., Odhner D., Suri N., Schnall M.D. Iterative live wire and live snake: new user-steered 3D image segmentation paradigms. SPIE Medical Imaging 2006: Image Processing 2006, vol. 6144. 61443N-1-61443N-7.
18. Lu K., Higgins W.E. Interactive segmentation based on the live wire for 3D CT chest image analysis. Int. J. Comput. Assisted Radiol. Surg. 2007, 2(3-4):151-167.
19. Poon M., Hamarneh G., Abugharbieh R. Efficient interactive 3D livewire segmentation of complex objects with arbitrary topology. Comput. Med. Imaging Graphics 2008, 32(8):639-650.
20. Lu K., Merritt S.A., Higgins W.E. Extraction and visualization of the central chest lymph-node stations. SPIE Medical Imaging 2008: Computer-Aided Diagnosis 2008, vol. 6915. 69151B-1-69151B-15.
21. Lu K., Higgins W.E., Bascom R., Mahraj R.P.M. Quantitative analysis of the central-chest lymph nodes based on 3D MDCT image data. SPIE Medical Imaging 2009: Computer-Aided Diagnosis 2009, vol. 7260. 72600U-1-72600U-9.
22. K. Lu, P. Taeprasartsit, R. Bascom, R. Mahraj, W.E. Higgins, Automatic definition of the central-chest lymph-node stations, Int. J. Comput. Assisted Radiol. Surg. 6 (4) (2011) 539-555.
23. Gibbs J.D., Graham M.W., Higgins W.E. 3D MDCT-based system for planning peripheral bronchoscopic procedures. Comput. Biol. Med. 2009, 39(3):266-279.
24. Graham M.W., Gibbs J.D., Cornish D.C., Higgins W.E. Robust 3D airway-tree segmentation for image-guided peripheral bronchoscopy. IEEE Trans. Med. Imaging 2010, 29(4):982-997.
25. Higgins W.E., Gibbs J.D., Bascom R., Khare R., Taeprasartsit P. Planning and visualization of accessible, safe bronchoscopy routes: application to central-chest lymph node biopsy. Am. J. Respir. Crit. Care Med. 2009, 179:A6148.
26. Cormen T.H., Leiserson C.E., Rivest R.L., Stein C. Introduction to Algorithms 2001, MIT Press, Cambridge, MA.
27. K. Lu, Multidimensional Image Segmentation and Pulmonary Lymph-Node Analysis, Ph.D. Thesis, The Pennsylvania State University, Department of Electrical Engineering, 2010.
28. Lu K., Higgins W.E. Central-chest lymph nodes definition from 3D MDCT image data. SPIE Medical Imaging 2010: Computer-Aided Diagnosis 2010, vol. 7624. 76240T-1-76240T-10.