Journal article
Application of the compound probability density function for characterization of breast masses in ultrasound B scans
Physics in medicine & biology, v 50(10), pp 2241-2248
21 May 2005
PMID: 15876664
Featured in Collection : UN Sustainable Development Goals @ Drexel
Abstract
The compound probability density function (pdf) is investigated for the ability of its parameters to classify masses in ultrasonic B scan breast images. Results of 198 images (29 malignant and 70 benign cases and two images per case) are reported and compared to the classification performance reported by us earlier in this journal. A new parameter, the speckle factor, calculated from the parameters of the compound pdf was explored to separate benign and malignant masses. The receiver operating characteristic curve for the parameter resulted in an A(z) value of 0.852. This parameter was combined with one of the parameters from our previous work, namely the ratio of the K distribution parameter at the site and away from the site. This combined parameter resulted in an A(z) value of 0.955. In conclusion, the parameters of the K distribution and the compound pdf may be useful in the classification of breast masses. These parameters can be calculated in an automated fashion. It should be possible to combine the results of the ultrasonic image analysis with those of traditional mammography, thereby increasing the accuracy of breast cancer diagnosis.
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Details
- Title
- Application of the compound probability density function for characterization of breast masses in ultrasound B scans
- Creators
- P M Shankar - Drexel UniversityC W Piccoli - Thomas Jefferson University HospitalJ M Reid - Drexel UniversityF Forsberg - Thomas Jefferson University HospitalB B Goldberg - Thomas Jefferson University Hospital
- Publication Details
- Physics in medicine & biology, v 50(10), pp 2241-2248
- Publisher
- Institute of Physics (IOP)
- Grant note
- CA 52823 / NCI NIH HHS
- Resource Type
- Journal article
- Language
- English
- Academic Unit
- Electrical and Computer Engineering; School of Biomedical Engineering, Science, and Health Systems
- Web of Science ID
- WOS:000229866100004
- Scopus ID
- 2-s2.0-20044389317
- Other Identifier
- 991019184178404721
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- Collaboration types
- Domestic collaboration
- Web of Science research areas
- Engineering, Biomedical
- Radiology, Nuclear Medicine & Medical Imaging