NDLI: A novel method to generate synthetic ultrasound data of the carotid artery based on in vivo observation as a tool to validate algorithm accuracy

Content Provider	IEEE Xplore Digital Library
Author	Zahnd, G. Larsson, M. Hang Gao Sérusclat, A. Vray, D. D'Hooge, J.
Copyright Year	2012
Description	Author affiliation: Radiol. Dept., Louis Pradel Hosp., Lyon, France (Sérusclat, A.) \|\| CREATIS, Univ. de Lyon, Lyon, France (Zahnd, G.; Vray, D.) \|\| Dept. of Cardiovascular Diseases, Catholic Univ. of Leuven, Leuven, Belgium (Larsson, M.; Hang Gao; D'Hooge, J.)
Abstract	Ultrasound imaging represents a well designed modality to estimate the motion of biological tissues in vivo, from which relevant clinical information can be assessed. However, the lack of ground truth constitutes a challenging issue when it comes to evaluate the accuracy of computerized methods. Indeed, quantification of the reliability of experimental results often involves manual or visual human operations, which may introduce subjectivity and variability. Nonetheless, numerical simulation of the imaged tissues allow a comparison with a known reference. For this purpose, we propose in this work a realistic kinematic multi-layer model of the common carotid artery. A set of 10 models was generated by randomly positioning scatterers, on which intensity, specular reflection, and bidimensional motion over the duration of one cardiac cycle were applied. Two computerized methods, namely a block-matching method and a segmentation method, were also applied on our model using identical parameter settings as those used for in vivo clinical data, in the objective to assess their accuracy. The tracking errors were 42 ± 40 μm and 12 ± 10 μm in the longitudinal and radial directions, respectively. The segmentation errors were 28±18 μm for the lumen diameter, and 15±10 μm for the intima-media thickness. We conclude from these results that our model can constitute a reliable method to quantify the accuracy of computerized algorithms.
Starting Page	1674
Ending Page	1677
File Size	650802
Page Count	4
File Format	PDF
ISBN	9781467345613
ISSN	19485719
e-ISBN	9781467345620
DOI	10.1109/ULTSYM.2012.0420
Language	English
Publisher	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Publisher Date	2012-10-07
Publisher Place	Germany
Access Restriction	Subscribed
Rights Holder	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Subject Keyword	In vivo Carotid arteries Ultrasonic imaging Imaging Mathematical model Computational modeling Estimation
Content Type	Text
Resource Type	Article

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