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Author Notes:

Corresponding author: B. Fei, bfei@emory.edu;Web:http://feilab.org.

Subjects:

Research Funding:

This research is supported in part by NIH grants (R01CA156775 and R21CA176684), Georgia Research Alliance Distinguished Scientists Award, and the Emory Molecular and Translational Imaging Center (NIH P50CA128301).

Keywords:

  • Science & Technology
  • Physical Sciences
  • Life Sciences & Biomedicine
  • Engineering, Biomedical
  • Robotics
  • Optics
  • Radiology, Nuclear Medicine & Medical Imaging
  • Engineering
  • Cardiac fiber orientations
  • 3D ultrasound
  • Deformable image registration
  • Magnetic resonance imaging (MRI)
  • diffusion tensor imaging (DTI)
  • heart imaging
  • PELVIC MR VOLUMES
  • REGISTRATION
  • PROSTATE
  • SEGMENTATION
  • QUANTIFICATION
  • VALIDATION

Mapping Cardiac Fiber Orientations from High-Resolution DTI to High-Frequency 3D Ultrasound

Tools:

Proceedings Title:

Proceedings of SPIE

Conference Name:

Conference on Medical Imaging - Image-Guided Procedures, Robotic Interventions, and Modeling

Publisher:

Conference Place:

San Diego, CA

Volume/Issue:

Volume 9036

Publication Date:

Type of Work:

Conference | Post-print: After Peer Review

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 patienta'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.

Copyright information:

© 2014 SPIE.

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