Literature DB >> 19000960

Detections of arterial wall in sonographic artery images using dual dynamic programming.

Da-Chuan Cheng1, Xiaoyi Jiang.   

Abstract

We propose a novel dual dynamic programming (DDP) technique for detecting intimal and adventitial layers of the common carotid artery of the B-mode sonographic images. This method embeds the anatomic knowledge into its structure so that the robustness against the speckles is increased. Moreover, it inherits the property of getting the optimal solution as the traditional dynamic programming (TDP). Our experimental study shows that the DDP technique achieves a detection performance comparable to manual tracing achieved by physicians. The results demonstrate that it has the potential to perform qualitatively better than applying TDP twice in intimal and adventitial layer detection on sonographic B-mode images.

Entities:  

Mesh:

Year:  2008        PMID: 19000960     DOI: 10.1109/TITB.2008.926413

Source DB:  PubMed          Journal:  IEEE Trans Inf Technol Biomed        ISSN: 1089-7771


  12 in total

1.  Simultaneous extraction of carotid artery intima-media interfaces in ultrasound images: assessment of wall thickness temporal variation during the cardiac cycle.

Authors:  Guillaume Zahnd; Maciej Orkisz; André Sérusclat; Philippe Moulin; Didier Vray
Journal:  Int J Comput Assist Radiol Surg       Date:  2014-07       Impact factor: 2.924

2.  Accurate Measurement of Cross-Sectional Area of Femoral Artery on MRI Sequences of Transcontinental Ultramarathon Runners Using Optimal Parameters Selection.

Authors:  Da-Chuan Cheng; Jhu-Fong Wu; Yi-Hsuan Kao; Chun-Hung Su; Shing-Hong Liu
Journal:  J Med Syst       Date:  2016-10-08       Impact factor: 4.460

3.  Convolutional Neural Network for Segmentation and Measurement of Intima Media Thickness.

Authors:  Sudha S; Jayanthi K B; Rajasekaran C; Nirmala Madian; Sunder T
Journal:  J Med Syst       Date:  2018-07-09       Impact factor: 4.460

4.  Associations of edge-detected and manual-traced common carotid intima-media thickness measurements with Framingham risk factors: the multi-ethnic study of atherosclerosis.

Authors:  Joseph F Polak; Michael J Pencina; David Herrington; Daniel H O'Leary
Journal:  Stroke       Date:  2011-05-05       Impact factor: 7.914

5.  Automatic detection of the intima-media thickness in ultrasound images of the common carotid artery using neural networks.

Authors:  Rosa-María Menchón-Lara; María-Consuelo Bastida-Jumilla; Juan Morales-Sánchez; José-Luis Sancho-Gómez
Journal:  Med Biol Eng Comput       Date:  2013-11-27       Impact factor: 2.602

6.  Automatic detection of the carotid artery boundary on cross-sectional MR image sequences using a circle model guided dynamic programming.

Authors:  Da-Chuan Cheng; Christian Billich; Shing-Hong Liu; Horst Brunner; Yi-Chen Qiu; Yu-Lin Shen; Hans Jürgen Brambs; Arno Schmidt-Trucksäss; Uwe Hw Schütz
Journal:  Biomed Eng Online       Date:  2011-04-11       Impact factor: 2.819

7.  Automated detection of the arterial inner walls of the common carotid artery based on dynamic B-mode signals.

Authors:  Da-Chuan Cheng; Arno Schmidt-Trucksäss; Chung-Hsiang Liu; Shing-Hong Liu
Journal:  Sensors (Basel)       Date:  2010-11-29       Impact factor: 3.576

8.  Three-dimensional expansion of a dynamic programming method for boundary detection and its application to sequential magnetic resonance imaging (MRI).

Authors:  Da-Chuan Cheng; Jui-Teng Lin
Journal:  Sensors (Basel)       Date:  2012-04-26       Impact factor: 3.576

Review 9.  Carotid artery segmentation in ultrasound images and measurement of intima-media thickness.

Authors:  Vaishali Naik; R S Gamad; P P Bansod
Journal:  Biomed Res Int       Date:  2013-06-20       Impact factor: 3.411

10.  An improved approach for accurate and efficient measurement of common carotid artery intima-media thickness in ultrasound images.

Authors:  Qiang Li; Wei Zhang; Xin Guan; Yu Bai; Jing Jia
Journal:  Biomed Res Int       Date:  2014-08-18       Impact factor: 3.411

View more

北京卡尤迪生物科技股份有限公司 © 2022-2023.