Literature DB >> 27660384

Determining Cardiac Fiber Orientation Using FSL and Registered Ultrasound/DTI volumes.

James Dormer1, Xulei Qin2, Ming Shen3, Silun Wang4, Xiaodong Zhang4, Rong Jiang3, Mary B Wagner3, Baowei Fei5.   

Abstract

Accurate extraction of cardiac fiber orientation from diffusion tensor imaging is important for determining heart structure and function. However, the acquisition of magnetic resonance (MR) diffusion tensor images is costly and time consuming. By comparison, cardiac ultrasound imaging is rapid and relatively inexpensive, but it lacks the capability to directly measure fiber orientations. In order to create a detailed heart model from ultrasound data, a three-dimensional (3D) diffusion tensor imaging (DTI) with known fiber orientations can be registered to an ultrasound volume through a geometric mask. After registration, the cardiac orientations from the template DTI can be mapped to the heart using a deformable transformation field. This process depends heavily on accurate fiber orientation extraction from the DTI. In this study, we use the FMRIB Software Library (FSL) to determine cardiac fiber orientations in diffusion weighted images. For the registration between ultrasound and MRI volumes, we achieved an average Dice similarity coefficient (DSC) of 81.6±2.1%. For the estimation of fiber orientations from the proposed method, we achieved an acute angle error (AAE) of 22.7±3.1° as compared to the direct measurements from DTI. This work provides a new approach to generate cardiac fiber orientation that may be used for many cardiac applications.

Entities:  

Year:  2016        PMID: 27660384      PMCID: PMC5029420          DOI: 10.1117/12.2217296

Source DB:  PubMed          Journal:  Proc SPIE Int Soc Opt Eng        ISSN: 0277-786X


  18 in total

1.  Segmentation of brain MR images through a hidden Markov random field model and the expectation-maximization algorithm.

Authors:  Y Zhang; M Brady; S Smith
Journal:  IEEE Trans Med Imaging       Date:  2001-01       Impact factor: 10.048

2.  Spatial transformations of diffusion tensor magnetic resonance images.

Authors:  D C Alexander; C Pierpaoli; P J Basser; J C Gee
Journal:  IEEE Trans Med Imaging       Date:  2001-11       Impact factor: 10.048

3.  Characterization of the normal cardiac myofiber field in goat measured with MR-diffusion tensor imaging.

Authors:  L Geerts; P Bovendeerd; K Nicolay; T Arts
Journal:  Am J Physiol Heart Circ Physiol       Date:  2002-07       Impact factor: 4.733

4.  Characterization and propagation of uncertainty in diffusion-weighted MR imaging.

Authors:  T E J Behrens; M W Woolrich; M Jenkinson; H Johansen-Berg; R G Nunes; S Clare; P M Matthews; J M Brady; S M Smith
Journal:  Magn Reson Med       Date:  2003-11       Impact factor: 4.668

5.  Image-based estimation of ventricular fiber orientations for personalized modeling of cardiac electrophysiology.

Authors:  Fijoy Vadakkumpadan; Hermenegild Arevalo; Can Ceritoglu; Michael Miller; Natalia Trayanova
Journal:  IEEE Trans Med Imaging       Date:  2012-01-18       Impact factor: 10.048

6.  Histological validation of myocardial microstructure obtained from diffusion tensor magnetic resonance imaging.

Authors:  D F Scollan; A Holmes; R Winslow; J Forder
Journal:  Am J Physiol       Date:  1998-12

7.  Human atlas of the cardiac fiber architecture: study on a healthy population.

Authors:  Herve Lombaert; Jean-Marc Peyrat; Pierre Croisille; Stanislas Rapacchi; Laurent Fanton; Farida Cheriet; Patrick Clarysse; Isabelle Magnin; Hervé Delingette; Nicholas Ayache
Journal:  IEEE Trans Med Imaging       Date:  2012-04-03       Impact factor: 10.048

8.  Image-based estimation of ventricular fiber orientations for patient-specific simulations.

Authors:  Fijoy Vadakkumpadan; Hermenegild Arevalo; Can Ceritoglu; Michael Miller; Natalia Trayanova
Journal:  Conf Proc IEEE Eng Med Biol Soc       Date:  2011

9.  Model-based analysis of multishell diffusion MR data for tractography: how to get over fitting problems.

Authors:  Saad Jbabdi; Stamatios N Sotiropoulos; Alexander M Savio; Manuel Graña; Timothy E J Behrens
Journal:  Magn Reson Med       Date:  2012-02-14       Impact factor: 4.668

10.  A comprehensive multiscale framework for simulating optogenetics in the heart.

Authors:  Patrick M Boyle; John C Williams; Christina M Ambrosi; Emilia Entcheva; Natalia A Trayanova
Journal:  Nat Commun       Date:  2013       Impact factor: 14.919

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  3 in total

1.  Image Guided Mitral Valve Replacement: Registration of 3D Ultrasound and 2D X-ray Images.

Authors:  James D Dormer; Fiaz Islam Bhuiyan; Nahian Rahman; Nancy Deaton; Jun Sheng; Muralidhar Padala; Jaydev P Desai; Baowei Fei
Journal:  Proc SPIE Int Soc Opt Eng       Date:  2020-03-16

2.  Ultrasound Segmentation of Rat Hearts Using Convolution Neural Networks.

Authors:  James D Dormer; Rongrong Guo; Ming Shen; Rong Jiang; Mary B Wagner; Baowei Fei
Journal:  Proc SPIE Int Soc Opt Eng       Date:  2018-03-06

3.  Imaging technologies for cardiac fiber and heart failure: a review.

Authors:  Shana R Watson; James D Dormer; Baowei Fei
Journal:  Heart Fail Rev       Date:  2018-03       Impact factor: 4.214

  3 in total

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