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Proceedings Paper

Register cardiac fiber orientations from 3D DTI volume to 2D ultrasound image of rat hearts
Author(s): Xulei Qin; Silun Wang; Ming Shen; Xiaodong Zhang; Stamatios Lerakis; Mary B. Wagner; Baowei Fei
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Paper Abstract

Two-dimensional (2D) ultrasound or echocardiography is one of the most widely used examinations for the diagnosis of cardiac diseases. However, it only supplies the geometric and structural information of the myocardium. In order to supply more detailed microstructure information of the myocardium, this paper proposes a registration method to map cardiac fiber orientations from three-dimensional (3D) magnetic resonance diffusion tensor imaging (MR-DTI) volume to the 2D ultrasound image. It utilizes a 2D/3D intensity based registration procedure including rigid, log-demons, and affine transformations to search the best similar slice from the template volume. After registration, the cardiac fiber orientations are mapped to the 2D ultrasound image via fiber relocations and reorientations. This method was validated by six images of rat hearts ex vivo. The evaluation results indicated that the final Dice similarity coefficient (DSC) achieved more than 90% after geometric registrations; and the inclination angle errors (IAE) between the mapped fiber orientations and the gold standards were less than 15 degree. This method may provide a practical tool for cardiologists to examine cardiac fiber orientations on ultrasound images and have the potential to supply additional information for diagnosis of cardiac diseases.

Paper Details

Date Published: 18 March 2015
PDF: 8 pages
Proc. SPIE 9415, Medical Imaging 2015: Image-Guided Procedures, Robotic Interventions, and Modeling, 94152M (18 March 2015); doi: 10.1117/12.2082317
Show Author Affiliations
Xulei Qin, Emory Univ. (United States)
Silun Wang, Emory Univ. (United States)
Ming Shen, Emory Univ. (United States)
Xiaodong Zhang, Emory Univ. (United States)
Stamatios Lerakis, Emory Univ. (United States)
Mary B. Wagner, Emory Univ. (United States)
Baowei Fei, Emory Univ. (United States)
Georgia Institute of Technology (United States)


Published in SPIE Proceedings Vol. 9415:
Medical Imaging 2015: Image-Guided Procedures, Robotic Interventions, and Modeling
Robert J. Webster; Ziv R. Yaniv, Editor(s)

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