Texture analysis of lesions in breast ultrasound images

Computerized Medical Imaging and Graphics

Volumn 26, Issue 5, 2002, Pages 303-307

  Sivaramakrishna, Radhika ^a   Powell, Kimerly A ^a   Lieber, Michael L ^a   Chilcote, William A ^a   Shekhar, Raj ^a  

^a LERNER RESEARCH INSTITUTE   (United States)

Author keywords

Breast cancer; Breast lesion discrimination; Breast ultrasound; Image analysis; Texture analysis

Indexed keywords

ATTENUATION; IMAGE ANALYSIS; SONOCHEMISTRY; ULTRASONICS;

POSTERIOR ACOUSTIC ATTENUATION DESCRIPTORS (PAAD);

MEDICAL IMAGING;

ARTICLE; ATTENUATION; AUTOMATION; BENIGN TUMOR; BREAST CYST; BREAST LESION; BREAST TUMOR; CONTROLLED STUDY; CORRELATION ANALYSIS; DIAGNOSTIC ACCURACY; ECHOMAMMOGRAPHY; HUMAN; IMAGE ANALYSIS; MALIGNANT NEOPLASTIC DISEASE; PRIORITY JOURNAL; SOLID TUMOR;

BREAST NEOPLASMS; FEMALE; FIBROCYSTIC BREAST DISEASE; HUMANS; IMAGE PROCESSING, COMPUTER-ASSISTED; ULTRASONOGRAPHY, MAMMARY;

EID: 0036767707     PISSN: 08956111     EISSN: None     Source Type: Journal    
DOI: 10.1016/S0895-6111(02)00027-7     Document Type: Article

References (16)

1. American Cancer Society. Cancer facts and figures; 2001.
2. Sivaramakrishna R., Gordon R. Detection of breast cancer at a smaller size can reduce the likelihood of metastatic spread. A quantitative analysis. Acad Radiol. 4:1997;8-12.
3. Moskowitz M. Breast imaging. 1995;W.B. Saunders, Philadelphia.
4. Jackson V.P., Hendrick R.E., Feig S.A., Kopans D.B. Imaging of the radiographically dense breast. Radiology. 188:1993;297-301.
5. Giger M.L. Computer-aided diagnosis. RSNA Categor Course Phys. 1993;283-298.
6. Jackson V.P. The role of US in breast imaging. Radiology. 177:1990;305-311.
7. Tohno E., Cosgrove D.O., Sloane J.P. Ultrasound diagnosis of breast diseases. 1994;Churchill Livingstone, Edinburgh, Scotland.
8. Fornage B.D., Lorigan J.G., Andry E. Fibroadenoma of the breast: sonographic appearance. Radiology. 172:1989;671-675.
9. Stavros A., Thickman D., Rapp C., Dennis M.A., Parker S.H., Sisney G.A. Solid breast nodules: use of sonography to distinguish between benign and malignant lesions. Radiology. 196:1995;123-134.
10. Huber S., Delorme S., Knopp M. Breast tumors: computer-assisted quantitative assessment with color Doppler US. Radiology. 192:1994;797-801.
11. Giger M.L., Al-Hallaq H., Huo Z., Moran C., Wolverton D.E., Chan C.W., Zhong W. Computerized analysis of lesions in US images of the breast. Acad Radiol. 6:1999;665-674.
12. Sahiner B., LeCarpentier G.L., Chan H.P., Rubidoux M.A., Petrick N., Goodsitt M.M., Gopal S.S., Carson P.L. Computerized characterization of breast masses using three-dimensional ultrasound images. Proc SPIE Med Imaging. 3338:1998;301-312.
13. Haralick R.M., Shanmugam K., Dinstein I. Textural features for image classification. IEEE Trans Syst Man Cybern. SMC-3:1973;610-621.
14. Laws K. Rapid texture identification. Proc SPIE-IPMG. 238:1980;376-380.
15. Barnesly M. Fractals everywhere. 1988;Academic Press, Toronto.
16. Mann J.A., Rains E.M., Woyezynski W.A. Measuring the roughness of interfaces. Chemometr Intel Lab Syst. 12:1991;169-180.