Literature DB >> 23366825

3D cardiac motion reconstruction from CT data and tagged MRI.

Xiaoxu Wang1, Viorel Mihalef, Zhen Qian, Szilard Voros, Dimitris Metaxas.   

Abstract

In this paper we present a novel method for left ventricle (LV) endocardium motion reconstruction using high resolution CT data and tagged MRI. High resolution CT data provide anatomic details on the LV endocardial surface, such as the papillary muscle and trabeculae carneae. Tagged MRI provides better time resolution. The combination of these two imaging techniques can give us better understanding on left ventricle motion. The high resolution CT images are segmented with mean shift method and generate the LV endocardium mesh. The meshless deformable model built with high resolution endocardium surface from CT data fit to the tagged MRI of the same phase. 3D deformation of the myocardium is computed with the Lagrangian dynamics and local Laplacian deformation. The segmented inner surface of left ventricle is compared with the heart inner surface picture and show high agreement. The papillary muscles are attached to the inner surface with roots. The free wall of the left ventricle inner surface is covered with trabeculae carneae. The deformation of the heart wall and the papillary muscle in the first half of the cardiac cycle is presented. The motion reconstruction results are very close to the live heart video.

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Year:  2012        PMID: 23366825      PMCID: PMC4876044          DOI: 10.1109/EMBC.2012.6346864

Source DB:  PubMed          Journal:  Conf Proc IEEE Eng Med Biol Soc        ISSN: 1557-170X


  5 in total

1.  Papillary muscles do not attach directly to the solid heart wall.

Authors:  Leon Axel
Journal:  Circulation       Date:  2004-06-14       Impact factor: 29.690

2.  Four-chamber heart modeling and automatic segmentation for 3-D cardiac CT volumes using marginal space learning and steerable features.

Authors:  Yefeng Zheng; Adrian Barbu; Bogdan Georgescu; Michael Scheuering; Dorin Comaniciu
Journal:  IEEE Trans Med Imaging       Date:  2008-11       Impact factor: 10.048

3.  Dynamic model-driven quantitative and visual evaluation of the aortic valve from 4D CT.

Authors:  Razvan Ioan Ionasec; Bogdan Georgescu; Eva Gassner; Sebastian Vogt; Oliver Kutter; Michael Scheuering; Nassir Navab; Dorin Comaniciu
Journal:  Med Image Comput Comput Assist Interv       Date:  2008

4.  LV motion and strain computation from tMRI based on meshless deformable models.

Authors:  Xiaoxu Wang; Ting Chen; Shaoting Zhang; Dimitris Metaxas; Leon Axel
Journal:  Med Image Comput Comput Assist Interv       Date:  2008

5.  Automated 3D motion tracking using Gabor filter bank, robust point matching, and deformable models.

Authors:  Ting Chen; Xiaoxu Wang; Sohae Chung; Dimitris Metaxas; Leon Axel
Journal:  IEEE Trans Med Imaging       Date:  2009-04-14       Impact factor: 10.048

  5 in total
  1 in total

1.  From 4D Medical Images (CT, MRI, and Ultrasound) to 4D Structured Mesh Models of the Left Ventricular Endocardium for Patient-Specific Simulations.

Authors:  Federico Canè; Benedict Verhegghe; Matthieu De Beule; Philippe B Bertrand; Rob J Van der Geest; Patrick Segers; Gianluca De Santis
Journal:  Biomed Res Int       Date:  2018-01-08       Impact factor: 3.411

  1 in total

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