Please use this identifier to cite or link to this item:
|Title:||Ultrasound common carotid artery video simulation and motion analysis||Authors:||Solomou, Rafaella
Loizou, Christos P.
|Keywords:||Artificial carotid video;Common carotid artery;Motion simulation;Ultrasound video||Category:||Electrical Engineering - Electronic Engineering - Information Engineering;Medical Engineering;MEDICAL AND HEALTH SCIENCES;Clinical Medicine||Field:||Engineering and Technology;Medical and Health Sciences||Issue Date:||1-Jan-2016||Publisher:||Springer-Verlag||Source:||14th Mediterranean Conference on Medical and Biological Engineering and Computing, MEDICON 2016; Paphos; Cyprus; 31 March 2016 through 2 April 2016||Conference:||Mediterranean Conference on Medical and Biological Engineering and Computing, MEDICON||Abstract:||The carotid artery wall motion characteristics from ultrasound videos may provide useful information regarding healthy, asymptomatic or symptomatic subjects as well as aid in the development and validation of motion analysis algorithms. This still remains a challenging task, as actual motion characteristics and indices are not directly available. In the present work we propose a methodology for generating simulated common carotid artery (CCA) ultrasound videos, which consists of the following steps: i) Generate the first frame of the CCA video using an artificial carotid image, ii) Generate the consecutive video frames by applying motion in the axial and radial directions, iii) Apply random speckle noise in each consecutive video frame, iv) Generate the systolic and diastolic frames of the entire cardiac cycle and v) Extract measurements for evaluating the CCA motion characteristics. A total of 120 frames were generated for each simulated video covering three cardiac cycles. Error measurements are presented for evaluating the simulation result. The proposed simulation procedure is simple and not computationally efficient and can thus be used widely in assessing the performance of different motion estimation and analysis algorithms.||Description:||Part of the IFMBE Proceedings book series (IFMBE, volume 57)||ISBN:||978-3-319-32703-7||ISSN:||1433-9277||DOI:||10.1007/978-3-319-32703-7_68||Rights:||© Springer International Publishing Switzerland 2016||Type:||Conference Papers|
|Appears in Collections:||Δημοσιεύσεις σε συνέδρια/Conference papers|
Show full item record
Page view(s) 20126
checked on Jun 12, 2019
Items in DSpace are protected by copyright, with all rights reserved, unless otherwise indicated.