A method of precise pulse onset determination using the Akaike Information Criterion for Ultrasound Transmission Tomography

• Autorzy: Pruchnicki Piotr , Opieliński Krzysztof J.

Identyfikatory

DOI

10.21008/j.0860-6897.2021.1.15

• Języki publikacji: EN

Abstrakty

EN

Information criteria used in statistics for model selection can be used to accurately determine pulse transition times in transmission methods. The most popular information criteria are the Akaike Information Criterion (AIC) and the Bayesian Schwartz Criterion (BIC). These criteria are considered the most reliable tests of model type and structure and are computationally simple. In this paper, an algorithm developed according to the AIC criterion is used to determine the transition time from transmission tomography measurements acquired with a multi-element ultrasonic ring array, which is the scanning element of the novel prototype of ultrasound tomography device for detecting and estimating the malignancy of female breast cancer in vivo. As a result, a new algorithm was developed to precise search for the onset of the recorded receiving pulse. The algorithm was tested in an aqueous environment using elementary pairs of transmitting and receiving ultrasonic transducers of a tomographic ring array.

Słowa kluczowe

EN

Akaike Information Criterion; AIC; pulse wave; transmission method; ultrasound tomography

PL

kryterium informacyjne Akaike; AIC; fala tętna; metoda transmisyjna; tomografia ultradźwiękowa

• Wydawca: Poznan University of Technology. Institute of Applied Mechanics
• Czasopismo: Vibrations in Physical Systems
• Rocznik: 2021
• Tom: Vol. 32, nr 1
• Strony: art. no. 2021115
• Opis fizyczny: Bibliogr. 6 poz., wykr.

Twórcy

autor

Pruchnicki Piotr

• Department of Acoustics, Multimedia and Signal Processing, Faculty of Electronics, Wrocław University of Science and Technology, Wybrzeże Wyspiańskiego 27, 50-370 Wrocław, Poland
• DRAMIŃSKI S.A., Owocowa 17, 10-860 Olsztyn, Poland

autor

Opieliński Krzysztof J.

• Department of Acoustics, Multimedia and Signal Processing, Faculty of Electronics, Wrocław University of Science and Technology, Wybrzeże Wyspiańskiego 27, 50-370 Wrocław, Poland
• DRAMIŃSKI S.A., Owocowa 17, 10-860 Olsztyn, Poland

Bibliografia

• 1. H. Akaike. A new look at the statistical model identification, IEEE Transactions on Automatic Control, 19(6):716-723, 1974. DOI: 10.1109/TAC.1974.1100705
• 2. C. Li, L. Huang, N. Duric, et al. An improved automatic time-of-flight picker for medical ultrasound tomography, Ultrasonics, 49(1):61-72, 2009. DOI: 10.1016/j.ultras.2008.05.005
• 3. K.J. Opieliński, P. Pruchnicki, P. Szymanowski, et al. Multimodal ultrasound computer-assisted tomography: An approach to the recognition of breast lesions. Computerized Medical Imaging and Graphics, 65:102-114, 2018. DOI: 10.1016/j.compmedimag.2017.06.009
• 4. T. Milewski, M. Michalak, A. Wiktorowicz, et al. Hybrid Ultrasound Tomography Scanner - a Novel Instrument Designed to Examine Breast as a Breast Cancer Screening Method. Biomedical Journal of Scientific & Technical Research, 14(4):1-5, 2019. DOI: 10.26717/BJSTR.2019.14.002594
• 5. T. Gudra, K.J. Opielinski. The ultrasonic probe for the investigating of internal object structure by ultrasound transmission tomography. Ultrasonics, 44:e679-e683, 2006. DOI: 10.1016/j.ultras.2006.05.126
• 6. K.J. Opieliński, M. Celmer, R. Bolejko. Crosstalk Effect in Medical Ultrasound Tomography Imaging. Acoustics 2018 proceedings of joint conference, 1-6, IEEE, 2018. DOI: 10.1109/ACOUSTICS.2018.8502426

Uwagi

Opracowanie rekordu ze środków MNiSW, umowa Nr 461252 w ramach programu "Społeczna odpowiedzialność nauki" - moduł: Popularyzacja nauki i promocja sportu (2021).