Literature DB >> 30220771

Estimating cardiac fiber orientations in pig hearts using registered ultrasound and MR image volumes.

James D Dormer1, Yuguang Meng2, Xiaodong Zhang2, Rong Jiang3, Mary B Wagner3, Baowei Fei1,4.   

Abstract

Heart fiber mechanics can be important predictors in current and future cardiac function. Accurate knowledge of these mechanics could enable cardiologists to provide a diagnosis before conditions progress. Magnetic resonance diffusion tensor imaging (MR-DTI) has been used to determine cardiac fiber orientations. Ultrasound is capable of providing anatomical information in real time, enabling a physician to quickly adjust parameters to optimize image scans. If known fiber orientations from a template heart measured using DTI can be accurately deformed onto a cardiac ultrasound volume, fiber orientations could be estimated for the patient without the need for a costly MR scan while still providing cardiologists valuable information about the heart mechanics. In this study, we apply the method to pig hearts, which are a close representation of human heart anatomy. Experiments from pig hearts show that the registration method achieved an average Dice similarity coefficient (DSC) of 0.819 ± 0.050 between the ultrasound and deformed MR volumes and that the proposed ultrasound-based method is able to estimate the cardiac fiber orientation in pig hearts.

Entities:  

Keywords:  Magnetic resonance diffusion tensor imaging (MR-DTI); cardiac fiber imaging; cardiac fiber orientation; deformable registration; heart disease; image registration; ultrasound imaging

Year:  2017        PMID: 30220771      PMCID: PMC6138465          DOI: 10.1117/12.2255515

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


  10 in total

1.  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

2.  DtiStudio: resource program for diffusion tensor computation and fiber bundle tracking.

Authors:  Hangyi Jiang; Peter C M van Zijl; Jinsuh Kim; Godfrey D Pearlson; Susumu Mori
Journal:  Comput Methods Programs Biomed       Date:  2006-01-18       Impact factor: 5.428

3.  Diffeomorphic demons: efficient non-parametric image registration.

Authors:  Tom Vercauteren; Xavier Pennec; Aymeric Perchant; Nicholas Ayache
Journal:  Neuroimage       Date:  2008-11-07       Impact factor: 6.556

4.  Measuring myofiber orientations from high-frequency ultrasound images using multiscale decompositions.

Authors:  Xulei Qin; Baowei Fei
Journal:  Phys Med Biol       Date:  2014-06-24       Impact factor: 3.609

5.  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

6.  DTI template-based estimation of cardiac fiber orientations from 3D ultrasound.

Authors:  Xulei Qin; Baowei Fei
Journal:  Med Phys       Date:  2015-06       Impact factor: 4.071

7.  In vivo human cardiac fibre architecture estimation using shape-based diffusion tensor processing.

Authors:  Nicolas Toussaint; Christian T Stoeck; Tobias Schaeffter; Sebastian Kozerke; Maxime Sermesant; Philip G Batchelor
Journal:  Med Image Anal       Date:  2013-03-04       Impact factor: 8.545

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.  Reproducibility of Echocardiograph-Derived Multilevel Left Ventricular Apical Twist Mechanics.

Authors:  Glenn M Stewart; Akira Yamada; Justin J Kavanagh; Luke J Haseler; Jonathan Chan; Surendran Sabapathy
Journal:  Echocardiography       Date:  2015-08-06       Impact factor: 1.724

10.  Automatic segmentation of right ventricular ultrasound images using sparse matrix transform and a level set.

Authors:  Xulei Qin; Zhibin Cong; Baowei Fei
Journal:  Phys Med Biol       Date:  2013-10-10       Impact factor: 3.609

  10 in total
  1 in total

1.  GPU-Based Simulation of Echocardiography Volumes Using Quantitative Fiber-Angle-to-Backscatter Measurements.

Authors:  Megan Yociss; Baowei Fei
Journal:  Proc SPIE Int Soc Opt Eng       Date:  2021-02-24
  1 in total

北京卡尤迪生物科技股份有限公司 © 2022-2023.