Share Email Print
cover

Proceedings Paper

Mapping cardiac fiber orientations from high-resolution DTI to high-frequency 3D ultrasound
Author(s): Xulei Qin; Silun Wang; Ming Shen; Xiaodong Zhang; Mary B. Wagner; Baowei Fei
Format Member Price Non-Member Price
PDF $14.40 $18.00
cover GOOD NEWS! Your organization subscribes to the SPIE Digital Library. You may be able to download this paper for free. Check Access

Paper Abstract

The orientation of cardiac fibers affects the anatomical, mechanical, and electrophysiological properties of the heart. Although echocardiography is the most common imaging modality in clinical cardiac examination, it can only provide the cardiac geometry or motion information without cardiac fiber orientations. If the patient’s cardiac fiber orientations can be mapped to his/her echocardiography images in clinical examinations, it may provide quantitative measures for diagnosis, personalized modeling, and image-guided cardiac therapies. Therefore, this project addresses the feasibility of mapping personalized cardiac fiber orientations to three-dimensional (3D) ultrasound image volumes. First, the geometry of the heart extracted from the MRI is translated to 3D ultrasound by rigid and deformable registration. Deformation fields between both geometries from MRI and ultrasound are obtained after registration. Three different deformable registration methods were utilized for the MRI-ultrasound registration. Finally, the cardiac fiber orientations imaged by DTI are mapped to ultrasound volumes based on the extracted deformation fields. Moreover, this study also demonstrated the ability to simulate electricity activations during the cardiac resynchronization therapy (CRT) process. The proposed method has been validated in two rat hearts and three canine hearts. After MRI/ultrasound image registration, the Dice similarity scores were more than 90% and the corresponding target errors were less than 0.25 mm. This proposed approach can provide cardiac fiber orientations to ultrasound images and can have a variety of potential applications in cardiac imaging.

Paper Details

Date Published: 12 March 2014
PDF: 9 pages
Proc. SPIE 9036, Medical Imaging 2014: Image-Guided Procedures, Robotic Interventions, and Modeling, 90361O (12 March 2014); doi: 10.1117/12.2043821
Show Author Affiliations
Xulei Qin, Emory Univ. (United States)
Silun Wang, Yerkes National Primate Research Ctr., Emory Univ. (United States)
Ming Shen, Emory Univ. (United States)
Xiaodong Zhang, Yerkes National Primate Research Ctr., Emory Univ. (United States)
Mary B. Wagner, Emory Univ. (United States)
Baowei Fei, Emory Univ. (United States)
Georgia Insitute of Technology (United States)


Published in SPIE Proceedings Vol. 9036:
Medical Imaging 2014: Image-Guided Procedures, Robotic Interventions, and Modeling
Ziv R. Yaniv; David R. Holmes, Editor(s)

© SPIE. Terms of Use
Back to Top