Name
Abstract | ||
|---|---|---|
With a renewed interest in using non-ionizing radiation for the screening of high risk women, there is a clear role for a computerized detection aid in ultrasound. Thus, we are developing a computerized detection method for the localization of lesions on breast ultrasound images. The computerized detection scheme utilizes two methods. Firstly, a radial gradient index analysis is used to distinguish potential lesions from normal parenchyma. Secondly, an image skewness analysis is performed to identify posterior acoustic shadowing. We analyzed 400 cases (757 images) consisting of complex cysts, solid benign lesions, and malignant lesions. The detection method yielded an overall sensitivity of 95% by image, and 99% by case at a false-positive rate of 0.94 per image. In 51% of all images, only the lesion itself was detected, while in 5% of the images only the shadowing was identified. For malignant lesions these numbers were 37% and 9%, respectively. In summary, we have developed a computer detection method for lesions on ultrasound images of the breast, which may ultimately aid in breast cancer screening. |
Year | DOI | Venue |
|---|---|---|
2002 | 10.1117/12.467093 | Proceedings of SPIE |
Keywords | Field | DocType |
Lesion detection,breast sonography,computer-aided diagnosis | Breast ultrasound,Breast cancer,Lesion,Acoustic shadow,Computer-aided diagnosis,Breast cancer screening,Complex cysts,Radiology,Medicine,Ultrasound | Conference |
Volume | ISSN | Citations |
4684 | 0277-786X | 1 |
PageRank | References | Authors |
0.34 | 0 | 4 |
Name | Order | Citations | PageRank |
|---|---|---|---|
| Karen Drukker | 1 | 46 | 11.96 |
| Maryellen L. Giger | 2 | 393 | 85.89 |
| Karla Horsch | 3 | 17 | 3.53 |
| C J Vyborny | 4 | 43 | 8.64 |