Title :
Duct size detection and estimation in breast tissue
Author :
Donohue, K.D. ; Huang, L. ; Genis, V. ; Forsberg, F.
Author_Institution :
Kentucky Univ., Lexington, KY, USA
Abstract :
This paper presents results from ultrasonic simulation and phantom studies to demonstrate the performance of generalized spectrum techniques in detecting and estimating duct structures on the order of those in breast tissue. Results demonstrate accurate estimation (about 12% mean square error) and reliable detection (90% or greater) in the presence of diffuse scatterers and system noise
Keywords :
Monte Carlo methods; acoustic signal processing; biomedical ultrasonics; mammography; medical signal processing; spectral analysis; time series; tumours; FFT; Monte Carlo simulation; ROC areas; breast tissue; diffuse scatterers; duct size detection; duct size estimation; generalized spectrum techniques; malignant tumours; mean square error; phantom studies; power spectral density; reliable detection; system noise; time series; ultrasonic simulation; Acoustic noise; Acoustic scattering; Bandwidth; Breast tissue; Cancer; Ducts; Frequency; Hospitals; Imaging phantoms; Mean square error methods;
Conference_Titel :
Ultrasonics Symposium, 1999. Proceedings. 1999 IEEE
Conference_Location :
Caesars Tahoe, NV
Print_ISBN :
0-7803-5722-1
DOI :
10.1109/ULTSYM.1999.849246
