ŘÍHA, Kamil, Jan MAŠEK, Radim BURGET, Radek BENEŠ a Eva ZÁVODNÁ. Novel method for localization of common carotid artery transverse section in ultrasound images using modified viola-jones detector. Ultrasound in medicine & biology. New York: ELSEVIER SCIENCE INC, 2013, roč. 39, č. 10, s. 1887-1902. ISSN 0301-5629. doi:10.1016/j.ultrasmedbio.2013.04.013.
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Základní údaje
Originální název Novel method for localization of common carotid artery transverse section in ultrasound images using modified viola-jones detector
Autoři ŘÍHA, Kamil (203 Česká republika), Jan MAŠEK (203 Česká republika), Radim BURGET (203 Česká republika), Radek BENEŠ (203 Česká republika) a Eva ZÁVODNÁ (203 Česká republika, garant, domácí).
Vydání Ultrasound in medicine & biology, New York, ELSEVIER SCIENCE INC, 2013, 0301-5629.
Další údaje
Originální jazyk angličtina
Typ výsledku Článek v odborném periodiku
Obor 30201 Cardiac and Cardiovascular systems
Stát vydavatele Velká Británie
Utajení není předmětem státního či obchodního tajemství
Impakt faktor Impact factor: 2.099
Kód RIV RIV/00216224:14110/13:00069231
Organizační jednotka Lékařská fakulta
Doi http://dx.doi.org/10.1016/j.ultrasmedbio.2013.04.013
UT WoS 000324053800016
Klíčová slova anglicky B-mode ultrasound; Carotid artery; Evolutionary algorithms; Image processing; Transverse section; Viola-Jones detector
Příznaky Mezinárodní význam, Recenzováno
Změnil Změnila: Ing. Mgr. Věra Pospíšilíková, učo 9005. Změněno: 14. 10. 2013 07:13.
Anotace
This article describes a novel method for highly accurate and effective localization of the transverse section of the carotis comunis artery in ultrasound images. The method has a high success rate, approximately 97%. Unlike analytical methods based on geometric descriptions of the object sought, the method proposed here can cover a large area of shape variation of the artery under study, which normally occurs during examinations as a result of the pressure on the examined tissue, tilt of the probe, setup of the sonographic device, and other factors. This method shows great promise in automating the process of determining circulatory system parameters in the non-invasive clinical diagnostics of cardiovascular diseases. The method employs a Viola-Jones detector that has been specially adapted for efficient detection of transverse sections of the carotid artery. This algorithm is trained on a set of labeled images using the AdaBoost algorithm, Haar-like features and the Matthews coefficient. The training algorithm of the artery detector was modified using evolutionary algorithms. The method for training a cascade of classifiers achieves on a small number of positive and negative training data samples (about 500images) a high success rate in a computational time that allows implementation of the detector in real time. Testing was performed on images of different patients for whom different ultrasonic instruments were used under different conditions (settings) so that the algorithm developed is applicable in general radiologic practice. Copyright 2013 World Federation for Ultrasound in Medicine & Biology. Published by Elsevier Inc.
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