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Paper
18 March 2015 Register cardiac fiber orientations from 3D DTI volume to 2D ultrasound image of rat hearts
Xulei Qin, Silun Wang, Ming Shen, Xiaodong Zhang, Stamatios Lerakis, Mary B. Wagner, Baowei Fei
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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.
© (2015) COPYRIGHT Society of Photo-Optical Instrumentation Engineers (SPIE). Downloading of the abstract is permitted for personal use only.
Xulei Qin, Silun Wang, Ming Shen, Xiaodong Zhang, Stamatios Lerakis, Mary B. Wagner, and Baowei Fei "Register cardiac fiber orientations from 3D DTI volume to 2D ultrasound image of rat hearts", Proc. SPIE 9415, Medical Imaging 2015: Image-Guided Procedures, Robotic Interventions, and Modeling, 94152M (18 March 2015); https://doi.org/10.1117/12.2082317
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CITATIONS
Cited by 2 scholarly publications.
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KEYWORDS
Ultrasonography

Image registration

Heart

3D image processing

Diffusion tensor imaging

3D acquisition

Magnetic resonance imaging

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