Literature DB >> 17946853

Extraction and tracking of MRI tagging sheets using a 3D Gabor filter bank.

Zhen Qian1, Dimitris N Metaxas, Leon Axel.   

Abstract

In this paper, we present a novel method for automatically extracting the tagging sheets in tagged cardiac MR images, and tracking their displacement during the heart cycle, using a tunable 3D Gabor filter bank. Tagged MRI is a non-invasive technique for the study of myocardial deformation. We design the 3D Gabor filter bank based on the geometric characteristics of the tagging sheets. The tunable parameters of the Gabor filter bank are used to adapt to the myocardium deformation. The whole 3D image dataset is convolved with each Gabor filter in the filter bank, in the Fourier domain. Then we impose a set of deformable meshes onto the extracted tagging sheets and track them over time. Dynamic estimation of the filter parameters and the mesh internal smoothness are used to help the tracking. Some very encouraging results are shown.

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Year:  2006        PMID: 17946853     DOI: 10.1109/IEMBS.2006.259542

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


  6 in total

1.  Meshless deformable models for 3D cardiac motion and strain analysis from tagged MRI.

Authors:  Xiaoxu Wang; Ting Chen; Shaoting Zhang; Joël Schaerer; Zhen Qian; Suejung Huh; Dimitris Metaxas; Leon Axel
Journal:  Magn Reson Imaging       Date:  2014-08-23       Impact factor: 2.546

2.  Texture analysis improves level set segmentation of the anterior abdominal wall.

Authors:  Zhoubing Xu; Wade M Allen; Rebeccah B Baucom; Benjamin K Poulose; Bennett A Landman
Journal:  Med Phys       Date:  2013-12       Impact factor: 4.071

Review 3.  Myocardial tagging by cardiovascular magnetic resonance: evolution of techniques--pulse sequences, analysis algorithms, and applications.

Authors:  El-Sayed H Ibrahim
Journal:  J Cardiovasc Magn Reson       Date:  2011-07-28       Impact factor: 5.364

4.  Pulmonary kinematics from tagged hyperpolarized helium-3 MRI.

Authors:  Nicholas J Tustison; Suyash P Awate; Jing Cai; Talissa A Altes; G Wilson Miller; Eduard E de Lange; John P Mugler; James C Gee
Journal:  J Magn Reson Imaging       Date:  2010-05       Impact factor: 4.813

5.  Rotation and torsion of the left ventricle with cardiovascular magnetic resonance tagging: comparison of two analysis methods.

Authors:  Lauri Lehmonen; Mikko Jalanko; Mika Tarkiainen; Touko Kaasalainen; Johanna Kuusisto; Kirsi Lauerma; Sauli Savolainen
Journal:  BMC Med Imaging       Date:  2020-07-01       Impact factor: 1.930

6.  Rotation covariant image processing for biomedical applications.

Authors:  Henrik Skibbe; Marco Reisert
Journal:  Comput Math Methods Med       Date:  2013-04-18       Impact factor: 2.238

  6 in total

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