@inproceedings{2220f70dc2fa4edd8725a39c45d086f1,
title = "Estimating cardiac fiber orientations in pig hearts using registered ultrasound and MR image volumes",
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.",
keywords = "Magnetic resonance diffusion tensor imaging (MR-DTI), cardiac fiber imaging., cardiac fiber orientation, deformable registration, heart disease, image registration, ultrasound imaging",
author = "Dormer, {James D.} and Yuguang Meng and Xiaodong Zhang and Rong Jiang and Wagner, {Mary B.} and Baowei Fei",
note = "Publisher Copyright: {\textcopyright} COPYRIGHT SPIE. Downloading of the abstract is permitted for personal use only.; Medical Imaging 2017: Ultrasonic Imaging and Tomography ; Conference date: 15-02-2017 Through 16-02-2017",
year = "2017",
doi = "10.1117/12.2255515",
language = "English (US)",
series = "Progress in Biomedical Optics and Imaging - Proceedings of SPIE",
publisher = "SPIE",
editor = "Neb Duric and Neb Duric and Brecht Heyde",
booktitle = "Medical Imaging 2017",
}