Academic Radiology
Volume 16, Issue 12 , Pages 1531-1538 , December 2009

Computer-Aided Diagnosis of Soft-Tissue Tumors Using Sonographic Morphologic and Texture Features

  • Chih-Yen Chen, PhD

      Affiliations

    • Institute of Biomedical Engineering, National Yang-Ming University, No. 155, Sec. 2, Linong St., Beitou District, Taipei City 112, Taiwan, R.O.C
    • ,
  • Hong-Jen Chiou, MD

      Affiliations

    • Department of Radiology, Taipei Veterans General Hospital, Taipei, Taiwan
    • General Hospital and National Yang Ming University, School of Medicine, Taipei, Taiwan
    • ,
  • Szu-Yuan Chou, MD

      Affiliations

    • Department of Obstetrics and Gynecology, Taipei Medical University-Wan Fang Hospital, Taipei, Taiwan
    • ,
  • See-Ying Chiou, MD

      Affiliations

    • Department of Radiology, Taipei Veterans General Hospital, Taipei, Taiwan
    • ,
  • Hsin-Kai Wang, MD

      Affiliations

    • Department of Radiology, Taipei Veterans General Hospital, Taipei, Taiwan
    • ,
  • Yi-Hong Chou, MD

      Affiliations

    • Department of Radiology, Taipei Veterans General Hospital, Taipei, Taiwan
    • General Hospital and National Yang Ming University, School of Medicine, Taipei, Taiwan
    • ,
  • Huihua Kenny Chiang, PhD

      Affiliations

    • Institute of Biomedical Engineering, National Yang-Ming University, No. 155, Sec. 2, Linong St., Beitou District, Taipei City 112, Taiwan, R.O.C
    • Department of Education and Research, Taipei City Hospital, Taipei, Taiwan
    • Corresponding Author InformationAddress correspondence to: H.K.C.

Received 3 July 2009 ,Accepted 27 July 2009.

References 

  1. Brisse H, Orbach D, Klijanienko J, et al. Imaging and diagnostic strategy of soft tissue tumors in children. Eur Radiol. 2006;16:1147–1164
  2. Drukker K, Giger M, Metz C. Robustness of computerized lesion detection and classification scheme across different breast US platforms. Radiology. 2005;237:834–840
  3. Kotilingam D, Lev D, Lazar A, et al. Staging soft tissue sarcoma: evolution and change. CA Cancer J Clin. 2006;56:282–291quiz 314–285
  4. García-Gómez JM, Vidal C, Martí-Bonmatí L, et al. Benign/malignant classifier of soft tissue tumors using MR imaging. MAGMA. 2004;16:194–201
  5. Chiou HJ, Chou YH, Chiou SY, et al. High-resolution ultrasonography in superficial soft tissue tumors. J Med Ultrasound. 2007;15:152–174
  6. Gandhi MR, Benson MD. Ultrasound of soft tissue masses. World J Surg. 2000;24:227–231
  7. Hwang S, Adler RS. Sonographic evaluation of the musculoskeletal soft tissue masses. Ultrasound Q. 2005;21:259–270
  8. Gielen J, Ceulemans R, Mv Holsbeeck. Ultrasound of soft tissue tumors. Berlin: Springer Berlin; 2006;
  9. Chiou HJ, Chou YH, Chiou SY, et al. Peripheral nerve lesions: role of high-resolution US. Radiographics. 2003;23:e15
  10. Chen CY, Chiou HJ, Chou YH, et al. Computer-aided diagnosis of soft tissue tumors on high-resolution ultrasonography with geometrical and morphological features. Acad Radiol. 2009;16:618–626
  11. Clark MA, Fisher C, Judson I, et al. Soft-tissue sarcomas in adults. N Engl J Med. 2005;353:701–711
  12. Skaane P, Engedal K. Analysis of sonographic features in the differentiation of fibroadenoma and invasive ductal carcinoma. AJR Am J Roentgenol. 1998;170:109–114
  13. Wu WJ, Moon WK. Ultrasound breast tumor image computer-aided diagnosis with texture and morphological features. Acad Radiol. 2008;15:873–880
  14. Chen CM, Chou YH, Han KC, et al. Breast lesions on sonograms: computer-aided diagnosis with nearly setting-independent features and artificial neural networks. Radiology. 2003;226:504–514
  15. Chen DR, Chang RF, Huang YL. Computer-aided diagnosis applied to US of solid breast nodules by using neural networks. Radiology. 1999;213:407–412
  16. Baker JA, Kornguth PJ, Lo JY, et al. Artificial neural network: improving the quality of breast biopsy recommendations. Radiology. 1996;198:131–135
  17. Morrison D. Multivariate statistical methods. 2nd ed.. Tokyo: McGraw-Hill; 1976;
  18. Fisher RA. The use of multiple measurements in taxonomic problems. Ann Eugenics. 1936;7:179–188
  19. Joo S, Yang YS, Moon WK, et al. Computer-aided diagnosis of solid breast nodules: use of an artificial neural network based on multiple sonographic features. IEEE Trans Med Imaging. 2004;23:1292–1300
  20. Rumelhart DE, Hinton GE, William RJ. Learning representation by backpropagation errors. Nature. 1986;3:4
  21. Hirose Y, Yamashita K, Hijiva S. Back-propagation algorithm which varies the number of hidden units. Neural Networks. 1991;4:6
  22. Chan HP, Sahiner B, Lam KL, et al. Computerized analysis of mammographic microcalcifications in morphological and texture feature spaces. Med Phys. 1998;25:2007–2019
  23. Chen CM, Chou YH, Han KC, et al. Breast lesions on sonograms: computer-aided diagnosis with nearly setting-independent features and artificial neural networks. Radiology. 2003;226:504–514
  24. Haralick RM, Shanmugam K, Dinstein IH. Textural features for image classification. IEEE Trans Systems. Man Cybernetics. 1973;3:610–621
  25. Chang RF, Wu WJ, Moon WK, et al. Automatic ultrasound segmentation and morphology based diagnosis of solid breast tumors. Breast Cancer Res Treat. 2005;89:179–185
  26. Kim KG, Cho SW, Min SJ, et al. Computerized scheme for assessing ultrasonographic features of breast masses. Acad Radiol. 2005;12:58–66
  27. Sahiner B, Chan HP, Roubidoux MA, et al. Computerized characterization of breast masses on three-dimensional ultrasound volumes. Med Phys. 2004;31:744–754
  28. Kuo WJ, Chang RF, Moon WK, et al. Computer-aided diagnosis of breast tumors with different US systems. Acad Radiol. 2002;9:793–799
  29. Kakkos SK, Nicolaides AN, Kyriacou E, et al. Effect of zooming on texture features of ultrasonic images. Cardiovasc Ultrasound. 2006;4:8
  30. Widmann G, Riedl A, Schoepf D, et al. State-of-the-art HR-US imaging findings of the most frequent musculoskeletal soft-tissue tumors. Skeletal Radiol. 2008;38:637–649

PII: S1076-6332(09)00428-0

doi: 10.1016/j.acra.2009.07.024

Academic Radiology
Volume 16, Issue 12 , Pages 1531-1538 , December 2009

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