Automated benign and malignant thyroid lesion characterization and classification in 3D contrast-enhanced ultrasound

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

Volumn , Issue , 2012, Pages 452-455

  Acharya, U Rajendra ^a   Vinitha Sree, S ^b   Molinari, Filippo ^c   Garberoglio, Roberto ^d   Witkowska, Agnieszka ^e   Suri, Jasjit S ^b  

^a DEPARTMENT OF ELECTRONICS AND COMPUTER ENGINEERING   (Singapore)

^b Global Biomedical Technologies Inc   (United States)

^c POLITECNICO DI TORINO   (Italy)

^d Scientific Foundation Mauriziana Onlus   (Italy)

^e MEDICAL UNIVERSITY OF SILESIA   (Poland)

Author keywords

Computer Aided Diagnosis; Contrast Enhanced Ultrasound; Discrete Wavelet Transform; Texture; Thyroid lesion

Indexed keywords

AUTOMATIC CLASSIFICATION; CLASSIFICATION ACCURACY; CONTRAST ENHANCED ULTRASOUND; CROSS-VALIDATION TECHNIQUE; FEATURE VECTORS; FINE NEEDLE ASPIRATION BIOPSIES; K-NEAREST NEIGHBORS; K-NN CLASSIFIER; MANUAL ANALYSIS; PROBABILISTIC NEURAL NETWORKS; TEXTURE FEATURES; THYROID LESION; THYROID NODULE; ULTRASOUND IMAGES;

COMPUTER AIDED DIAGNOSIS; DECISION TREES; DISCRETE WAVELET TRANSFORMS; MAMMOGRAPHY; NEURAL NETWORKS; TEXT PROCESSING; TEXTURES; THREE DIMENSIONAL COMPUTER GRAPHICS; ULTRASONICS;

ULTRASONIC APPLICATIONS;

CONTRAST MEDIUM; DIAGNOSTIC AGENT;

ARTICLE; ARTIFICIAL NEURAL NETWORK; CLASSIFICATION; COMPUTER ASSISTED DIAGNOSIS; DECISION TREE; DIFFERENTIAL DIAGNOSIS; ECHOGRAPHY; HUMAN; METHODOLOGY; THREE DIMENSIONAL IMAGING; THYROID NODULE; THYROID TUMOR; WAVELET ANALYSIS;

CONTRAST MEDIA; DECISION TREES; DIAGNOSIS, COMPUTER-ASSISTED; DIAGNOSIS, DIFFERENTIAL; HUMANS; IMAGE INTERPRETATION, COMPUTER-ASSISTED; IMAGING, THREE-DIMENSIONAL; NEURAL NETWORKS (COMPUTER); THYROID NEOPLASMS; THYROID NODULE; WAVELET ANALYSIS;

EID: 84883565159     PISSN: 1557170X     EISSN: None     Source Type: Conference Proceeding    
DOI: 10.1109/EMBC.2012.6345965     Document Type: Conference Paper

References (19)

1. CD. Lansford and T.N. Teknos, "Evaluation of the Thyroid Nodule" Cancer Control, Vol. 13, no. 2, pp. 89-98, 2006.
2. Z. W. Baloch, S. Fleisher, V. A. LiVolsi, and P.K. Gupta, "Diagnosis of follicular neoplasm: a gray zone in thyroid fine-needle aspiration cytology" Diagn. Cytopathol. Vol. 26, no. 1, pp. 1-44, Jan. 2002.
3. N. P. Caraway, N. Sneige, and N. A. Samaan, "Diagnostic pitfalls in thyroid fine-needle aspiration: a review of 394 cases" Diagn. Cytopathol. Vol. 9, no. 3, pp. 345-350, 1993.
4. S. Bastin, M.J. Bolland, and M.S. Croxson, "Role of ultrasound in the assessment of nodular thyroid disease" J. Med. Imaging Radiat. Oncol., Vol. 53, no. 2, pp. 177-187, Apr. 2009.
5. T. V. Bartolotta, M. Midiri, M. Galia, G. Runza, M. Attard, G. Savoia, R. Lagalla, and A. E. Cardinale, "Qualitative and quantitative evaluation of solitary thyroid nodules with contrast-enhanced ultrasound: initial results" Eur. Radiol., Vol. 16, no. 10, pp. 2234-2241, Oct. 2006.
6. B. Zhang, Y. X. Jiang, J. B. Liu, M. Yang, Q. Dai, Q. L. Zhu, and P. Gao, "Utility of contrast-enhanced ultrasound for evaluation of thyroid nodules" Thyroid, Vol. 20, no. 1, pp. 51-57, Jan. 2010.
7. M. Appetecchia, D. Bacaro, R. Brigida, D. Milardi, A. Bianchi, and F. Solivetti, "Second generation ultrasonographic contrast agents in the diagnosis of neoplastic thyroid nodules" J. Exp. Clin. Cancer Res., Vol. 25, no. 3, pp. 325-330, Sep. 2006.
8. R. Mihai, A. J. Parker, D. Roskell, and G. P. Sadler, "One in four patients with follicular thyroid cytology (THY3) has a thyroid carcinoma" Thyroid, Vol. 19, no. 1, pp. 33-37, Jan. 2009.
9. R. M. Haralick, K. Shanmugam, and I. Dinstein, "Textural features for image classification" IEEE Trans. Syst. Man. Cybern. SMC-3, pp. 610-621, 1973
10. D. T. Larose, Discovering Knowledge in Data: An introduction to data mining, Chapter 5: KNN, New Jersey, USA: Wiley Interscience, 2004, pp. 90-106.
11. D. F. Specht, "Probabilistic Neural Networks" J. Neural Networks, Vol. 3, no. 1, pp. 109-118, 1990.
12. D. T. Larose, Discovering Knowledge in Data: An introduction to data mining, Chapter 6: Decision Trees, New Jersey, USA: Wiley Interscience, 2004, pp. 108-126.
13. J. F. Box, "Guinness, gosset, fisher, and small samples" Statist. Sci., Vol. 2, pp. 45-52, 1987.
14. M. M. D'Souza, R. K. Marwaha, R. Sharma, A. Jaimini, S. Thomas, D. Singh, M. Jain, P. J. Bhalla, M. Tripathi, A. Tiwari, A. Mishra, A. Mondal, and R. P. Tripathi, "Prospective evaluation of solitary thyroid nodule on 18F-FDG PET/CT and high-resolution ultrasonography" Ann. Nucl. Med., Vol. 24, no. 5, pp. 345-355, Jun. 2010.
15. G. Argalia, S. De Bernardis, D. Mariani, T. Abbattista, A. Taccaliti, L Ricciardelli, S. Faragona, P. M. Gusella, and G. M. Giuseppetti, "Ultrasonographic contrast agent: evaluation of time-intensity curves in the characterisation of solitary thyroid nodules" Radiol. Med. Vol. 103, no. 4, pp. 407-413, Apr. 2002.
16. M. C. Frates, C. B. Benson, P. M. Doubilet, E. S. Cibas, and E. Marqusee, "Can color Doppler sonography aid in the prediction of malignancy of thyroid nodules?" J. Ultrasound Med., Vol. 22, no. 2, pp. 127-131, Feb. 2003.
17. D.J. Finley, B. Zhu, C.B. Barden, T.J. Fahey, "Discrimination of benign and malignant thyroid nodules by molecular profiling" Ann. Surg., Vol. 240, no. 3, pp. 425-437, Sep. 2004.
18. J.A. Patton, J.W. Hollifield, A.B. Brill, G.S. Lee, D.D. Patton, "Differentiation between malignant and benign solitary thyroid nodules by fluorescent scanning" J. Nucl. Med., Vol. 17, no. 1, pp. 17-21, Jan. 1976.
19. F. Molinari, A. Mantovani, M. Deandrea, P. Limone, R. Garberoglio, and J. S. Suri, "Characterization of single thyroid nodules by contrast-enhanced 3-D ultrasound" Ultrasound Med. Biol., Vol. 36, no. 10, pp. 1616-1625, Oct. 2010.