Paper Info
Title
Introducing Spectral Estimation for Boundary Detection in Echographic Radiofrequency Images
Abstract
In echocardiography, the radio-frequency (RF) image is a rich source of information about the investigated tissues. Nevertheless, very few works are dedicated to boundary detection based on the RF image, as opposed to envelope image. In this paper, we investigate the feasibility and limitations of boundary detection in echocardiographic images based on the spectral contents of the RF signal. Using the system approach, we study on models and simulations how the spectral contents can be used for boundary detection. We then introduce an original method of spectral estimation for boundary detection, and several images are analyzed with its mean. It is shown that, under the condition of high acquisition frequency, it is possible to use the spectral contents for boundary detection, and that improvement can be expected with respect to traditional methods. The conclusions may enable development of a robust boundary detection method, based both on the envelope and the spectral contents of the RF signal.
Year
DOI
Venue
2001
10.1007/3-540-45572-8_4
FIMH
Keywords
Field
DocType
robust boundary detection method,traditional method,echographic radiofrequency images,boundary detection,original method,envelope image,rf image,spectral content,spectral estimation,echocardiographic image,introducing spectral estimation,rf signal,radiofrequency,modeling and simulation,radio frequency
Computer vision,Spectral density estimation,Computer science,Radio frequency,Boundary detection,Artificial intelligence
Conference
ISBN
Citations 
PageRank 
3-540-42861-5
1
0.48
References 
Authors
5
3
Name
Order
Citations
PageRank
Igor Dydenko1414.17
Denis Friboulet240332.65
Isabelle E. Magnin354064.87