Automated localization and segmentation of lung tumor from PET-CT thorax volumes based on image feature analysis

Proceedings of the Annual International Conference of the IEEE Engineering in Medicine and Biology Society, EMBS

Volumn , Issue , 2012, Pages 5384-5387

  Cui, Hui ^a   Wang, Xiuying ^b   Feng, Dagan ^b  

^a UNIVERSITY OF SYDNEY   (Australia)

^b UNIVERSITY OF SYDNEY   (Australia)

Author keywords

[No Author keywords available]

Indexed keywords

CHEST WALL; COMPUTED TOMOGRAPHY; DECISION STRATEGY; EARLY TUMOR DETECTION; IMAGE FEATURE ANALYSIS; LUNG SEGMENTATION; LUNG TUMOR; NON SMALL CELL LUNG CANCER; STANDARDIZED UPTAKE VALUES; TUMOR SEGMENTATION;

ALGORITHMS; BIOLOGICAL ORGANS; COMPUTERIZED TOMOGRAPHY; IMAGE SEGMENTATION; POSITRON EMISSION TOMOGRAPHY; TUMORS;

DIAGNOSIS;

ALGORITHM; ARTICLE; AUTOMATION; COMPUTER ASSISTED TOMOGRAPHY; HUMAN; LUNG TUMOR; METHODOLOGY; MULTIMODAL IMAGING; POSITRON EMISSION TOMOGRAPHY; RADIOGRAPHY; SCINTISCANNING; VALIDATION STUDY;

ALGORITHMS; AUTOMATION; HUMANS; LUNG NEOPLASMS; MULTIMODAL IMAGING; POSITRON-EMISSION TOMOGRAPHY; TOMOGRAPHY, X-RAY COMPUTED;

EID: 84870830529     PISSN: 1557170X     EISSN: None     Source Type: Conference Proceeding    
DOI: 10.1109/EMBC.2012.6347211     Document Type: Conference Paper

References (13)

1. F. B. Ahmedin Jemal, Melissa M. Center, Jacques Ferlay, Elizabeth Ward and David Forman, "Global cancer satatistics," CA: A Cancer Journal for Clinicians, vol. 61, pp. 69-90, 2011.
2. M. Hatt, C. C. L. Rest, N. Albarghach, O. Pradier, and D. VIsvikis, "PET functional volume delineation: a robustness and repeatability study," European Journal of Nuclear Medicine and Molecular Imaging, vol. 38, pp. 633-72, 2011.
3. E. Day, J. Betler, D. Parda, B. Reitz, A. Kirichenko, S. Mohammadi, and M. Miften, "A region growing method for tumor volume segmentation on PET images for rectal and anal cancer patients," Medical Physics, vol. 36, pp. 4349-4358, Oct 2009.
4. C. Ballangan, X. Wang, M. Fulham, S. Eberl, Y. Yin, and D. Feng, "Automated Delineation of Lung Tumors in PET Images Based on Monotonicity and a Tumor-Customized Criterion," IEEE Transactions on Information Technology in Biomedicine, vol. 15, pp. 691-702, Sept. 2011.
5. J. S. Cooper, S. K. Mukherji, A. Y. Toledano, C. Beldon, I. M. Schmalfuss, R. Amdur, S. Sailer, L. A. Loevner, P. Kousouboris, K. K. Ang, J. Cormack, and J. Sicks, "An evaluation of the variability of tumor-shape definition derived by experienced observers from CT images of supraglottic carcinomas (ACRIN protocol 6658)," International Journal of Radiation Oncology Biology Physics, vol. 67, pp. 972-975, Mar 15 2007.
6. H. Yu, C. Caldwell, K. Mah, and D. Mozeg, "Coregistered FDG PET/CT-Based Textural Characterization of Head and Neck Cancer for Radiation Treatment Planning," IEEE Transactions on Medical Imaging, vol. 28, pp. 374-383, March 2009.
7. D. Han, J. Bayouth, Q. Song, A. Taurani, M. Sonka, J. Buatti, and X. Wu, "Globally optimal tumor segmentation in PET-CT images: a graph-based co-segmentation method," Information processing in medical imaging, vol. 22, pp. 245-56, 2011.
8. V. Potesil, X. Huang, and X. S. Zhou, "Automated tumour delineation using joint PET/CT information," in Medical Imaging 2007: Computer-Aided Diagnosis, Pts 1 and 2. vol. 6514, M. L. K. N. Giger, Ed., ed, 2007, pp. Y5142-Y5142.
9. H. Yu, C. Caldwell, K. Mah, I. Poon, J. Balogh, R. MacKenzie, N. Khaouam, and R. Tirona, "Automated radiation targeting in head-and-neck cancer using region-based texture analysis of PET and CT images," International Journal of Radiation Oncology Biology Physics, vol. 75, pp. 618-625, 2009.
10. H. P. Ng, S. Huang, S. H. Ong, K. W. C. Foong, P. S. Goh, and W. L. Nowinski, "Medical Image Segmentation Using Watershed Segmentation with Texture-Based Region Merging," presented at the 2008 30th Annual International Conference of the Ieee Engineering in Medicine and Biology Society, Vols 1-8, New York, 2008.
11. B. Ganeshan, S. Abaleke, R. C. D. Young, C. R. Chatwin, and K. A. Miles, "Texture analysis of non-small cell lung cancer on unenhanced computed tomography: initial evidence for a relationship with tumour glucose metabolism and stage," cancer imaging, vol. 10, pp. 137-143, 2010.
12. J. Zhang, W. Zhang, C. Chen, Y. Guan, and C. Wang, "Computed Diagnosis System for Lung Tumor Detection based on PET/CT Images," presented at the 2010 3rd International Conference on Biomedical Engineering and Informatics (BMEI 2010) 2010.
13. M. Amadasun and R. King, "Textural features corresponding to textural properties," Systems, Man and Cybernetics, IEEE Transactions on, vol. 19, pp. 1264-1274, 1989.