ArticleMedical physics2015
DTI template-based estimation of cardiac fiber orientations from 3D ultrasound.
Article in Medical physics, 2015. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 7 papers, 1 of them a synthesis that pooled it.
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Who cites it
7 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
- Characterization of fibrillar collagen isoforms in infarcted mouse hearts using second harmonic generation imaging.Biomedical optics express · 2021Article
- Ultrasound Segmentation of Rat Hearts Using Convolution Neural Networks.Proceedings of SPIE--the International Society for Optical Engineering · 2018Article
- A new method to quantify fiber orientation similarity in registered volumes.Proceedings of SPIE--the International Society for Optical Engineering · 2017Article
- Estimating cardiac fiber orientations in pig hearts using registered ultrasound and MR image volumes.Proceedings of SPIE--the International Society for Optical Engineering · 2017Article
- 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
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2 authors.
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Abstract
purposeCardiac muscle fibers directly affect the mechanical, physiological, and pathological properties of the heart. Patient-specific quantification of cardiac fiber orientations is an important but difficult problem in cardiac imaging research. In this study, the authors proposed a cardiac fiber orientation estimation method based on three-dimensional (3D) ultrasound images and a cardiac fiber template that was obtained from magnetic resonance diffusion tensor imaging (DTI).
methodsA DTI template-based framework was developed to estimate cardiac fiber orientations from 3D ultrasound images using an animal model. It estimated the cardiac fiber orientations of the target heart by deforming the fiber orientations of the template heart, based on the deformation field of the registration between the ultrasound geometry of the target heart and the MRI geometry of the template heart. In the experiments, the animal hearts were imaged by high-frequency ultrasound, T1-weighted MRI, and high-resolution DTI.
resultsThe proposed method was evaluated by four different parameters: Dice similarity coefficient (DSC), target errors, acute angle error (AAE), and inclination angle error (IAE). Its ability of estimating cardiac fiber orientations was first validated by a public database. Then, the performance of the proposed method on 3D ultrasound data was evaluated by an acquired database. Their average values were 95.4% ± 2.0% for the DSC of geometric registrations, 21.0° ± 0.76° for AAE, and 19.4° ± 1.2° for IAE of fiber orientation estimations. Furthermore, the feasibility of this framework was also performed on 3D ultrasound images of a beating heart.
conclusionsThe proposed framework demonstrated the feasibility of using 3D ultrasound imaging to estimate cardiac fiber orientation of in vivo beating hearts and its further improvements could contribute to understanding the dynamic mechanism of the beating heart and has the potential to help diagnosis and therapy of heart disease.
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