ArticleProceedings of SPIE--the International Society for Optical Engineering2014
Mapping Cardiac Fiber Orientations from High-Resolution DTI to High-Frequency 3D Ultrasound.
Article in Proceedings of SPIE--the International Society for Optical Engineering, 2014. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 12 papers, 1 of them a synthesis that pooled it.
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Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.
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Who cites it
12 citing papers in PubMed, 1 synthesis or guideline pooled it.
- Imaging technologies for cardiac fiber and heart failure: a review.Heart failure reviews · 2018Pooled it
- A diffusion tensor-based method facilitating volumetric assessment of fiber orientations in skeletal muscle.PloS one · 2022Trial
- Investigation of anisotropic fishing line-based phantom as tool in quality control of diffusion tensor imaging.Radiological physics and technology · 2019Article
- Determining Cardiac Fiber Orientation Using FSL and Registered Ultrasound/DTI volumes.Proceedings of SPIE--the International Society for Optical Engineering · 2016Article
- Simulating cardiac ultrasound image based on MR diffusion tensor imaging.Medical physics · 2015Article
- DTI template-based estimation of cardiac fiber orientations from 3D ultrasound.Medical physics · 2015Article
- Register cardiac fiber orientations from 3D DTI volume to 2D ultrasound image of rat hearts.Proceedings of SPIE--the International Society for Optical Engineering · 2015Article
- Quantitative Wavelength Analysis and Image Classification for Intraoperative Cancer Diagnosis with Hyperspectral Imaging.Proceedings of SPIE--the International Society for Optical Engineering · 2015Article
- Spectral-Spatial Classification Using Tensor Modeling for Cancer Detection with Hyperspectral Imaging.Proceedings of SPIE--the International Society for Optical Engineering · 2014Article
- Breast Tissue Classification in Digital Tomosynthesis Images Based on Global Gradient Minimization and Texture Features.Proceedings of SPIE--the International Society for Optical Engineering · 2014Article
- Hyperspectral Imaging for Cancer Surgical Margin Delineation: Registration of Hyperspectral and Histological Images.Proceedings of SPIE--the International Society for Optical Engineering · 2014Article
- 3DProceedings of SPIE--the International Society for Optical EngineeringArticle
Corrections and comments
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Authors and funding
6 authors.
Funding
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.
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Registered trials
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