Medical imaging and computer-aided flow analysis of a heart with atrial septal defect

作者: KELVIN K. L. WONG , ZHONGHUA SUN , JIYUAN TU

DOI: 10.1142/S0219519412500248

关键词:

摘要: Computer-aided magnetic resonance (MR) fluid motion tracking and cardiac vorticity quantification of the right atrial flow is implemented in this study to suggest a new method for diagnosis an septal defect (ASD). MR signals blood moving chamber can be represented as image vary intensity at every consecutive phase. A was devised perform analysis using imaging without modification scan mode or protocol that allows velocity encoding. single vortex multiple vortices may appear chamber. However, fields any scenario are normally unable reveal information concise analysis; therefore, addition maps, maps on which field superimposed presented. Through case study, difference strengths pre- post-atrial occlusion examined, results verified computational dynamics. Based framework, degree vortical assessed atrium subject with defect. relationship established between ASD. As such, there clear utility developed system its potential prognostic investigative tool quantitative assessment abnormalities parallel examining images.

参考文章(44)
Partho P. Sengupta, Bijoy K. Khandheria, Josef Korinek, Arshad Jahangir, Shiro Yoshifuku, Ilija Milosevic, Marek Belohlavek, Left Ventricular Isovolumic Flow Sequence During Sinus and Paced Rhythms Journal of the American College of Cardiology. ,vol. 49, pp. 899- 908 ,(2007) , 10.1016/J.JACC.2006.07.075
Zhonghai Yu, DESIGN AND RESEARCH OF THE LARGE COMBINED FLEXIBLE WELDING WORKSTATION Chinese Journal of Mechanical Engineering. ,vol. 39, pp. 116- 120 ,(2003) , 10.3901/JME.2003.05.116
Zhonghua Sun, K. Ng, Multislice CT angiography in cardiac imaging. Part II: clinical applications in coronary artery disease. Singapore Medical Journal. ,vol. 51, pp. 282- 289 ,(2010)
Berthold K.P. Horn, Brian G. Schunck, Determining optical flow Artificial Intelligence. ,vol. 17, pp. 185- 203 ,(1981) , 10.1016/0004-3702(81)90024-2
L.G. Raguin, S.L. Honecker, J.G. Georgiadis, MRI velocimetry in microchannel networks ieee/embs special topic conference on microtechnology in medicine and biology. pp. 319- 322 ,(2005) , 10.1109/MMB.2005.1548460
Steve T. Wereley, Christian J. Kähler, Fulvio Scarano, Christian E. Willert, Jürgen Kompenhans, Markus Raffel, particle-image-velocimetry ,(2010)
Kelvin Kian Loong Wong, Richard Malcolm Kelso, Stephen Grant Worthley, Prashanthan Sanders, Jagannath Mazumdar, Derek Abbott, Theory and validation of magnetic resonance fluid motion estimation using intensity flow data. PLOS ONE. ,vol. 4, pp. 1- 15 ,(2009) , 10.1371/JOURNAL.PONE.0004747
C.J. Elkins, M. Markl, A. Iyengar, R. Wicker, J.K. Eaton, Full-field velocity and temperature measurements using magnetic resonance imaging in turbulent complex internal flows International Journal of Heat and Fluid Flow. ,vol. 25, pp. 702- 710 ,(2004) , 10.1016/J.IJHEATFLUIDFLOW.2004.05.017