ArticleThe international journal of cardiovascular imaging2014
Non-linear blending of dual-energy CT data improves depiction of late iodine enhancement in chronic myocardial infarction.
Article in The international journal of cardiovascular imaging, 2014. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 5 papers.
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Who cites it
5 citing papers in PubMed.
- Dual energy computed tomography virtual monoenergetic imaging: technique and clinical applications.The British journal of radiology · 2019Review
- Delayed enhancement cardiac computed tomography for the assessment of myocardial infarction: from bench to bedside.Cardiovascular diagnosis and therapy · 2017Review
- Cardiovascular imaging 2014 in the International Journal of Cardiovascular Imaging.The international journal of cardiovascular imaging · 2015Review
- Optimized energy of spectral CT for infarct imaging: Experimental validation with human validation.Journal of cardiovascular computed tomographyArticle
- Automatic high-resolution infarct detection using volumetric multiphase dual-energy CT.Journal of cardiovascular computed tomographyArticle
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Authors and funding
9 authors.
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Abstract
To compare non-linear and linear blending of cardiac dual-energy computed tomography (DECT) for optimal visualization of late iodine enhancement (LIE) in patients with chronic myocardial infarction (CMI). LIE-DECT data from 20 patients with known CMI were retrospectively analyzed. Images were reconstructed using non-linear blending center and width settings in the range of 0-500. Linear blending was performed with weighting factors 0.8 (80% 100 kV, 20% 140 kV), 0.6 and 0.3. 100-/140-kV data and blended images were analyzed. Contrast and percentage signal differences between infarcted and healthy myocardium and the left ventricle blood pool were computed. Statistical analysis was performed using repeated-measures analysis of variance and post hoc t tests. Non-linear blending showed the highest signal differences for all contrasts and analyses. Repeated-measures ANOVA tests confirmed the statistical differences between the investigated blending techniques (P < 0.01). Paired-samples post hoc t tests confirmed the significance of these results (P < 0.04). The ideal non-linear blending settings for best demarcation of CMI from healthy myocardium were a center of 65.8 ± 23.2 and a width of 0.0 ± 0.0. Non-linear blending of LIE-DECT improves display of LIE in patients with CMI in comparison with linear blending and non-post-processed image data from 100-/140-kV.
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