Computer-aided diagnosis of peripheral soft tissue masses based on ultrasound imaging

Computerized Medical Imaging and Graphics

Volumn 33, Issue 5, 2009, Pages 408-413

  Chiou, Hong Jen ^a,b   Chen, Chih Yen ^a   Liu, Tzu Chiang ^a   Chiou, See Ying ^a   Wang, Hsin Kai ^a   Chou, Yi Hong ^a,b   Chiang, Huihua Kenny ^a,c  

^a NATIONAL YANG MING UNIVERSITY   (Taiwan)

^b TAIPEI VETERANS GENERAL HOSPITAL   (Taiwan)

^c TAIPEI CITY HOSPITAL   (Taiwan)

Author keywords

Computer aided diagnosis (CAD); Discriminant analysis; Peripheral soft tissue mass; Ultrasound

Indexed keywords

AFTER-IMAGES; CAD SYSTEMS; COMPUTER-AIDED DIAGNOSIS (CAD); DEATH RATES; HIGH INTENSITIES; IMAGE PRE-PROCESSING; MALIGNANT MASS; MEDICAL ULTRASOUNDS; NEGATIVE PREDICTIVE VALUES; NORMALIZATION FACTORS; PERIPHERAL SOFT TISSUE MASS; POSITIVE PREDICTIVE VALUES; REGION OF INTERESTS; SOFT TISSUE TUMORS; ULTRASOUND; ULTRASOUND IMAGING;

ABERRATIONS; ACOUSTIC WAVES; COMPUTER AIDED ANALYSIS; COMPUTER PERIPHERAL EQUIPMENT; DISCRIMINANT ANALYSIS; FEATURE EXTRACTION; IMAGE PROCESSING; INTERFACES (COMPUTER); ONCOLOGY; TUMORS; ULTRASONIC IMAGING; ULTRASONICS;

COMPUTER AIDED DIAGNOSIS;

ADOLESCENT; ADULT; AGED; ARTICLE; CHILD; CLINICAL ARTICLE; COMPUTER ASSISTED DIAGNOSIS; CONTROLLED STUDY; DIAGNOSTIC ACCURACY; ECHOGRAPHY; HUMAN; IMAGE ANALYSIS; IMAGE PROCESSING; PRESCHOOL CHILD; PRIORITY JOURNAL; SCHOOL CHILD; SENSITIVITY AND SPECIFICITY; SOFT TISSUE TUMOR;

ADOLESCENT; ADULT; AGED; AGED, 80 AND OVER; CHILD; CHILD, PRESCHOOL; DIAGNOSIS, COMPUTER-ASSISTED; DISCRIMINANT ANALYSIS; HUMANS; MIDDLE AGED; PATTERN RECOGNITION, AUTOMATED; RETROSPECTIVE STUDIES; SOFT TISSUE NEOPLASMS; TAIWAN; YOUNG ADULT;

EID: 65549098860     PISSN: 08956111     EISSN: None     Source Type: Journal    
DOI: 10.1016/j.compmedimag.2009.03.005     Document Type: Article

References (19)

1. Cormier J.N., and Pollock R.E. Soft tissue sarcomas. CA Cancer J Clin 54 (2004) 94-109
2. Tierney J.F., Steward L.A., and Parmar M.K.B. Adjuvant chemotherapy for localised resectable soft tissue sarcoma of adults: meta-analysis of individual data. Lancet 305 (1997) 1647-1654
3. McNally E.G. Practical musculoskeletal ultrasound (2004), Elsevier, Philadelphia
4. Fisher C. Soft tissue sarcomas: diagnosis, classification and prognostic factors. Br J Plast Surg 49 (1996) 27-33
5. Bodner G., Schocke M.F., Rachbauer F., Seppi K., Peer S., Fierlinger A., et al. Differentiation of malignant and benign musculoskeletal tumors: combined color and power Doppler US and spectral wave analysis. Radiology 223 (2002) 410-416
6. Adler R.S. Musculoskeletal system. Ultrasound Med Biol 26 (2000) S125-127
7. Chou Y.H., Tiu C.M., Hung G.S., Wu S.C., Chang T.Y., and Chiang H.K. Stepwise logistic regression analysis of tumor contour features for breast ultrasound diagnosis. Ultrasound Med Biol 27 (2001) 1493-1498
8. Chiou H.J., Chou Y.H., Chiou S.Y., and Wang H.K. High-resolution ultrasonography in superficial soft tissue tumors. J Med Ultrasound 15 (2007) 152-174
9. Goldberg V., Manduca A., Ewert D.L., Gisvold J.J., and Greenleaf J.F. Improvement in specificity of ultrasonography for diagnosis of breast tumors by means of artificial intelligence. Med Phys 19 (1992) 1475-1481
10. Garra B.S., Krasner B.H., Horii S.C., Ascher S., Mun S.K., and Zeman R.K. Improving the distinction between benign and malignant breast lesions: the value of sonographic texture analysis. Ultrason Imaging 15 (1993) 267-285
11. Stavros A.T., Thickman D., Rapp C.L., Dennis M.A., Parker S.H., and Sisney G.A. Solid breast nodules: use of sonography to distinguish between benign and malignant lesions. Radiology 196 (1995) 123-134
12. Chen D.R., Chang R.F., and Huang Y.L. Computer-aided diagnosis applied to US of solid breast nodules by using neural networks. Radiology 213 (1999) 407-412
13. Kim K.G., Cho S.W., Min S.J., Kim J.H., Min B.G., and Bae K.T. Computerized scheme for assessing ultrasonographic features of breast masses. Acad Radiol 12 (2005) 58-66
14. Gonzalez R.C., and Woods R.E. Digital image processing (2002), Prentice-Hall
15. Graham D.J., Reid I., and Rice S.P. Automated sizing of coarse-grained sediments: image-processing procedures. Math Geol 37 (2005) 1-28
16. Kass M., Witkin A., and Terzopoulos D. Snakes: active contour models. Int J Comput Vis 1 (1988) 321-331
17. Xu C., and Prince J.L. Snakes, shapes, and gradient vector flow. IEEE Trans Image Process 7 (1988) 359-369
18. Chan H.P., Wei D., Helvie M.A., Sahiner B., Adler D.D., Goodsitt M.M., et al. Computer-aided classification of mammographic masses and normal tissue: linear discriminant analysis in texture feature space. Phys Med Biol 40 (1995) 857-876
19. Tabachnick B.G., and Fidell L.S. Using multivariate statistics (2001), Allyn & Bacon, Boston