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

James D. Dormer; Yuguang Meng; Xiaodong Zhang; Rong Jiang; Mary B. Wagner; Baowei Fei

doi:10.1117/12.2255515

15 March 2017 Estimating cardiac fiber orientations in pig hearts using registered ultrasound and MR image volumes

James D. Dormer, Yuguang Meng, Xiaodong Zhang, Rong Jiang, Mary B. Wagner, Baowei Fei

Proceedings Volume 10139, Medical Imaging 2017: Ultrasonic Imaging and Tomography; 101391G (2017) https://doi.org/10.1117/12.2255515
Event: SPIE Medical Imaging, 2017, Orlando, Florida, United States

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.

Citation Download Citation

James D. Dormer, Yuguang Meng, Xiaodong Zhang, Rong Jiang, Mary B. Wagner, and Baowei Fei "Estimating cardiac fiber orientations in pig hearts using registered ultrasound and MR image volumes", Proc. SPIE 10139, Medical Imaging 2017: Ultrasonic Imaging and Tomography, 101391G (15 March 2017); https://doi.org/10.1117/12.2255515

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KEYWORDS

Heart

Ultrasonography

Magnetic resonance imaging

Diffusion tensor imaging

Image registration

Structured optical fibers

Diffusion magnetic resonance imaging

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