2005
DOI: 10.1177/016173460502700103
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An Autoregressive Model-Based Method for Contrast Agent Detection in Ultrasound Radiofrequency Images

Abstract: This paper presents a spectral autoregressive method dedicated to the detection of ultrasound contrast agents (USCA) from radiofrequency (rf) data. The method is based on second-order autoregressive (AR) modeling of the rf signal. Contrast agents induce a second harmonic, which may be efficiently detected through the AR spectrum using the magnitude of the second AR spectral peak (SM2). In contrast to multipulse methods that process two or more rf frames, our method processes a single rf frame. The method is te… Show more

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“…However, all of these eventually tie in together in the domain of agent-based computing (Wooldridge 1998;Jennings 1999b). And it is not uncommon to get unexpected results from papers where the use of the word "agent" in completely different contexts such as in Biology or Chemistry or other domains (Snead et al 1995;Dydenko et al 2005) where the use is completely unrelated to agent-based computing.…”
Section: Introductionmentioning
confidence: 99%
“…However, all of these eventually tie in together in the domain of agent-based computing (Wooldridge 1998;Jennings 1999b). And it is not uncommon to get unexpected results from papers where the use of the word "agent" in completely different contexts such as in Biology or Chemistry or other domains (Snead et al 1995;Dydenko et al 2005) where the use is completely unrelated to agent-based computing.…”
Section: Introductionmentioning
confidence: 99%