ArticleJournal of medical systems2014
DWT-based segmentation method for coronary arteries.
Article in Journal of medical systems, 2014. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 5 papers.
What it found
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Who cites it
5 citing papers in PubMed.
- Non-invasive Computational Techniques for Diagnosing Myocardial Ischemia: Challenges and Future of FFRAnnals of biomedical engineering · 2026Review
- Effect of Watermarking on Diagnostic Preservation of Atherosclerotic Ultrasound Video in Stroke Telemedicine.Journal of medical systems · 2016Article
- An Automatic 3-D Reconstruction of Coronary Arteries by Stereopsis.Journal of medical systems · 2016Article
- Analysis of enlarged images using time-of-flight magnetic resonance angiography, computed tomography, and conventional angiography.Journal of medical systems · 2014Article
- Brain MR image segmentation with spatial constrained K-mean algorithm and dual-tree complex wavelet transform.Journal of medical systems · 2014Article
Corrections and comments
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Authors and funding
7 authors.
Funding
No grant is acknowledged in the PubMed record.
Abstract
This work presents a new method for segmenting coronary arteries automatically in computed tomography angiography (CTA) data sets. The method automatically isolates heart and coronary arteries from surrounding structures and search for the probable location of coronary arteries by 3D region growing. Based on the dilation of the probable location, discrete wavelet transformation (DWT) and λ - mean operation complete accurate detection of coronary arties. Finally, the proposed method is tested on clinical CTA data-sets. The results on clinical datasets show that the proposed method is able to extract each branch of arteries when comparing to commercial software GE Healthcare and delineated ground truth.
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Registered trials
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