ArticleProceedings of SPIE--the International Society for Optical Engineering2013
Extracting Cardiac Myofiber Orientations from High Frequency Ultrasound Images.
Article in Proceedings of SPIE--the International Society for Optical Engineering, 2013. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 11 papers, 1 of them a synthesis that pooled it.
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Who cites it
11 citing papers in PubMed, 1 synthesis or guideline pooled it, 13 citations in OpenAlex.
- Imaging technologies for cardiac fiber and heart failure: a review.Heart failure reviews · 2018Pooled it
- Hyperspectral Imaging and K-Means Classification for Histologic Evaluation of Ductal CarcinomaFrontiers in oncology · 2018Article
- Determining Cardiac Fiber Orientation Using FSL and Registered Ultrasound/DTI volumes.Proceedings of SPIE--the International Society for Optical Engineering · 2016Article
- 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
- Measuring myofiber orientations from high-frequency ultrasound images using multiscale decompositions.Physics in medicine and biology · 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
- Spectral-Spatial Classification Using Tensor Modeling for Cancer Detection with Hyperspectral Imaging.Proceedings of SPIE--the International Society for Optical Engineering · 2014Article
- Mapping Cardiac Fiber Orientations from High-Resolution DTI to High-Frequency 3D Ultrasound.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
- Spectral-spatial classification for noninvasive cancer detection using hyperspectral imaging.Journal of biomedical optics · 2014Article
Corrections and comments
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Authors and funding
7 authors at 1 institution in 1 country.
Funding
Abstract
Cardiac myofiber plays an important role in stress mechanism during heart beating periods. The orientation of myofibers decides the effects of the stress distribution and the whole heart deformation. It is important to image and quantitatively extract these orientations for understanding the cardiac physiological and pathological mechanism and for diagnosis of chronic diseases. Ultrasound has been wildly used in cardiac diagnosis because of its ability of performing dynamic and noninvasive imaging and because of its low cost. An extraction method is proposed to automatically detect the cardiac myofiber orientations from high frequency ultrasound images. First, heart walls containing myofibers are imaged by B-mode high frequency (>20 MHz) ultrasound imaging. Second, myofiber orientations are extracted from ultrasound images using the proposed method that combines a nonlinear anisotropic diffusion filter, Canny edge detector, Hough transform, and K-means clustering. This method is validated by the results of ultrasound data from phantoms and pig hearts.
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Registered trials
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