Detecção automática do espaçamento médio de meios periódicos por sinais ultrassônicos retroespalhados

Abstract

Resumo A interpretação da imagem ultrassônica, por ocorrer de modo visual e qualitativa, traz uma variação inter e intra-observador importante. A adoção de métodos quantitativos é uma forma de diminuir esta dependência.

Mean scatterer space estimation from ultrasound signals combining singular spectral analysis and entropy

“…In terms of MSS estimation, the results of the Pereira and Maciel (2001) and Simon et al (1997) were similar to those of our method for the same 24,000 simulated US signals (Figure 4). The SIMON method was chosen because it performed better than several other methods tested using the same data (Kauati et al, 2012). Our method performed slightly better for the wire-phantom signals ( Figure 5).…”

“…Other studies considering SSA used phantoms (Pereira et al, 2002) and bone in vitro (Pereira et al, 2004). Kauati et al (2012) evaluated the Burg, Wiener, and MUSIC spectral estimation methods for automatic MSS calculation without requiring operator intervention. The evaluation of these methods was carried out using 10,000 simulated signals generated by a model where the variables of interest can be controlled.…”

“…These results were compared with the SSA method used by Pereira and Maciel (2001) and the SIMON method proposed by Simon et al (1997). The SIMON method was chosen because it performed better than several other methods that we tested, such as Burg (Kauati et al, 2012), MUSIC (Kauati et al, 2012), SAC (Varghese and Donohue, 1993, 1994, 1995, Tufts and Kumaresan (1982), and Wiener (Kauati et al, 2012).…”

Comparative study of periodicity estimation methods using ultrasonic signals

“…In this work, we will compare the MUSIC method, which had the best performance in Kauati et al (2012), with two other methods also used to estimate periodicity: Tufts-Kumaresan and SAC (Spectral Autocorrelation).…”

“…Comparing the techniques, Kauati et al (2012) evaluated the Burg, Wiener, and MUSIC (MUltiple SIgnal Classification) spectral estimation methods to calculate the MSS (without operator intervention). Initially the evaluation was performed using 10,000 simulated signals with the aim of studying each method's behavior using a model in which the variables of interest can be controlled.…”