Have a personal or library account? Click to login
Segmenting CT images of bronchogenic carcinoma with bone metastases using PET intensity markers approach Cover

Segmenting CT images of bronchogenic carcinoma with bone metastases using PET intensity markers approach

Radiology and Oncology
Volume 43 (2009): Issue 3 (September 2009)
By: Iman Avazpour,  Ros Roslan,  Peyman Bayat,  M. Saripan,  Abdul Nordin and  Raja Abdullah  
Open Access
|Sep 2009

References

  1. Shetty C, Lakhkar B, Gangadhar V, Ramachandran N. Changing pattern of bronchogenic carcinoma: a statistical variation or a reality? Indian J Radiol Imaging 2005; 15: 233-8.10.4103/0971-3026.28812
    Search in Google Scholar
  2. De Wever W, Stroobants S, Coolen J, Verschakelen JA. Integrated PET/CT in the staging of nonsmall cell lung cancer: technical aspects and clinical integration. Eur Respir J 2009; 33: 201-12.10.1183/09031936.0003510819118231
    Search in Google Scholar
  3. Kovac V, Smrdel U. Meta-analyses of clinical trials in patients with non-small cell lung cancer. Minireview. Neoplasma 2004; 51: 334-40
    Search in Google Scholar
  4. Kim K, Kim KR, Sohn HY, Lee UY, Kim SK, Lee WY. The role of whole body bone scan in bronchogenic carcinoma. Yonsei Med J 1984; 25: 11-7.10.3349/ymj.1984.25.1.116336206
    Search in Google Scholar
  5. Abe K, Sasaki M, Kuwabara Y, Koga H, Baba S, Hayashi K, et al. Comparison of 18FDG-PET with 99mTc-HMDP scintigraphy for the detection of bone metastases in patients with breast cancer. Ann Nucl Med 2005; 19: 573-9.10.1007/BF0298505016363622
    Search in Google Scholar
  6. Debevec L, Jerič T, Kovač V, Bitenc M, Sok M. Is there any progress in routine management of lung cancer patients? A comparative analysis of an institution in 1996 and 2006. Radiol Oncol 2009; 43: 47-53.10.2478/v10019-009-0008-x
    Search in Google Scholar
  7. Guo H, Zhu H, Xi Y, Zhang B, Li L, Huang Y, et al. Diagnostic and prognostic value of 18F-FDG PET/CT for patients with suspected recurrence from squamous cell carcinoma of the esophagus. J Nucl Med 2007; 48: 1251-8.10.2967/jnumed.106.03650917631554
    Search in Google Scholar
  8. Miller JC, Fischman AJ, Aquino SL, Blake MA, Thrall JH, Lee SI. FDG-PET CT for tumor imaging. J Am Coll Radiol 2007; 4: 256-9.10.1016/j.jacr.2006.10.01117412280
    Search in Google Scholar
  9. Goo JM, Im J, Do K, Yeo JS, Seo JB, Kim HY, et al. Pulmonary tuberculoma evaluated by means of FDG PET: findings in 10 cases. Radiology 2000; 216: 117-21.10.1148/radiology.216.1.r00jl1911710887236
    Search in Google Scholar
  10. Ting-lei Huang, Xue Bai. An improved algorithm for medical image segmentation. Genetic and evolutionary computing, 2008. WGEC '08. Second International Conference; 2008. p. 289-92.10.1109/WGEC.2008.116
    Search in Google Scholar
  11. Gonzalez RC, Woods RE, Eddins SL. Digital image processing using MATLAB. New York: Prentice-Hall, Inc. Upper Saddle River; 2003.
    Search in Google Scholar
  12. Rajer M, Kovač V. Malignant spinal cord compression. Radiol Oncol 2008; 42: 23-31.10.2478/v10019-007-0035-4
    Search in Google Scholar
  13. Nestle U, Weber W, Hentschel M, Grosu AL. Biological imaging in radiation therapy: role of positron emission tomography. Phys Med Biol 2009; 54: R1-25.10.1088/0031-9155/54/1/R0119060363
    Search in Google Scholar
  14. Evans PM. Anatomical imaging for radiotherapy. Phys Med Biol 2008; 53: R151-91.10.1088/0031-9155/53/12/R0118495981
    Search in Google Scholar
  15. Rohren EM, Turkington TG, Coleman RE. Clinical applications of PET in oncology. Radiology 2004; 231: 305-32.10.1148/radiol.231202118515044750
    Search in Google Scholar
  16. Beyer T, Townsend DW, Brun T, Kinahan PE, Charron M, Roddy R, et al. A Combined PET/CT scanner for clinical oncology. J Nucl Med 2000; 41: 1369-79.
    Search in Google Scholar
  17. Townsend DW, Beyer T. A combined PET/CT scanner: the path to true image fusion. Br J Radiol 2002; 75: S24-30.10.1259/bjr.75.suppl_9.75002412519732
    Search in Google Scholar
  18. Lewis J. Fast normalized cross-correlation. Vision Interface 1995; 10: 120-3.
    Search in Google Scholar
  19. Hojjatoleslami SA, Kittler J. Region growing: a new approach. IEEE Trans Image Process 1998; 7: 1079-84.10.1109/83.70117018276325
    Search in Google Scholar
  20. Adams R, Bischof L. Seeded region growing. Pattern analysis and machine intelligence. IEEE Trans Image Process 1994; 3: 641-7.
    Search in Google Scholar
  21. Wan S, Higgins WE. Symmetric region growing. IEEE Trans Image Process 2003; 12: 1007-15.10.1109/TIP.2003.81525818237973
    Search in Google Scholar
DOI: https://doi.org/10.2478/v10019-009-0023-y | Journal eISSN: 1581-3207 | Journal ISSN: 1318-2099
Journal RSS Feed
Language: English
Page range: 180 - 186
Published on: Sep 14, 2009
Published by: Association of Radiology and Oncology
In partnership with: Paradigm Publishing Services
Publication frequency: 4 issues per year
Keywords:
computed tomography segmentation,
dual modality imaging,
PET/CT
Related subjects:
Medicine,
Clinical medicine,
Internal medicine,
Haematology, oncology,
Radiology

© 2009 Iman Avazpour, Ros Roslan, Peyman Bayat, M. Saripan, Abdul Nordin, Raja Abdullah, published by Association of Radiology and Oncology
This work is licensed under the Creative Commons License.

Volume 43 (2009): Issue 3 (September 2009)