Benign versus malignant classification of breast tumors based on the PLSN model for the ultrasound RF echo and homomorphic filtering

Athina Petropulu, Vasileios T. Nasis, Oleh Tretiak, Catherine W. Piccoli

Research output: Contribution to journalConference article

1 Citation (Scopus)

Abstract

The Power-law Shot Noise (PLSN) model has been recently proposed for modeling the ultrasound radio-frequency echo. According to it, the spectrum of the in-phase/quadrature/envelope components are power-law functions. The corresponding power-law exponents were shown to possess good tissue characterization ability. A crucial step in the computation of in-phase/quadrature/envelope components is the estimation of the echo center frequency at different depths. We here propose a robust way of estimating the center frequency. We employ a well known convolutive model for the rf echo that views the echo as convolution of the tissue response and a component that represents the combined effect of the ultrasound impulse response and frequency dependent attenuation. Via low-pass filtering in the cepstrum domain, the combined ultrasonic contribution and attenuation term is extracted and used to estimate the center frequency. Furthermore, the tissue contribution is used to construct two new tissue characterization features. ROC analysis of 65 clinical ultrasound images of the breast indicates that the proposed features combined yield an area of 0.963.

Original languageEnglish (US)
Pages (from-to)21-24
Number of pages4
JournalAnnual International Conference of the IEEE Engineering in Medicine and Biology - Proceedings
Volume26 I
StatePublished - Dec 1 2004
Externally publishedYes
EventConference Proceedings - 26th Annual International Conference of the IEEE Engineering in Medicine and Biology Society, EMBC 2004 - San Francisco, CA, United States
Duration: Sep 1 2004Sep 5 2004

Fingerprint

Shot noise
Tumors
Ultrasonics
Tissue
Breast Neoplasms
Impulse response
Radio
Convolution
ROC Curve
Breast

All Science Journal Classification (ASJC) codes

  • Bioengineering

Cite this

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abstract = "The Power-law Shot Noise (PLSN) model has been recently proposed for modeling the ultrasound radio-frequency echo. According to it, the spectrum of the in-phase/quadrature/envelope components are power-law functions. The corresponding power-law exponents were shown to possess good tissue characterization ability. A crucial step in the computation of in-phase/quadrature/envelope components is the estimation of the echo center frequency at different depths. We here propose a robust way of estimating the center frequency. We employ a well known convolutive model for the rf echo that views the echo as convolution of the tissue response and a component that represents the combined effect of the ultrasound impulse response and frequency dependent attenuation. Via low-pass filtering in the cepstrum domain, the combined ultrasonic contribution and attenuation term is extracted and used to estimate the center frequency. Furthermore, the tissue contribution is used to construct two new tissue characterization features. ROC analysis of 65 clinical ultrasound images of the breast indicates that the proposed features combined yield an area of 0.963.",
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Benign versus malignant classification of breast tumors based on the PLSN model for the ultrasound RF echo and homomorphic filtering. / Petropulu, Athina; Nasis, Vasileios T.; Tretiak, Oleh; Piccoli, Catherine W.

In: Annual International Conference of the IEEE Engineering in Medicine and Biology - Proceedings, Vol. 26 I, 01.12.2004, p. 21-24.

Research output: Contribution to journalConference article

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T1 - Benign versus malignant classification of breast tumors based on the PLSN model for the ultrasound RF echo and homomorphic filtering

AU - Petropulu, Athina

AU - Nasis, Vasileios T.

AU - Tretiak, Oleh

AU - Piccoli, Catherine W.

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