Community delivery of semiautomated fractal analysis tool in cardiac mr for trabecular phenotyping
Purpose To report the development of easy?to?use magnetic resonance imaging (MRI) fractal tools deployed on platforms accessible to all. The trabeculae of the left ventricle vary in health and disease but their measurement is difficult. Fractal analysis of cardiac MR images can measure trabecular co...
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| Hauptverfasser: | , |
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| Dokumenttyp: | Article (Journal) |
| Sprache: | Englisch |
| Veröffentlicht: |
2 February 2017
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| In: |
Journal of magnetic resonance imaging
Year: 2017, Jahrgang: 46, Heft: 4, Pages: 1082-1088 |
| ISSN: | 1522-2586 |
| DOI: | 10.1002/jmri.25644 |
| Online-Zugang: | Verlag, Volltext: http://dx.doi.org/10.1002/jmri.25644 Verlag, Volltext: https://onlinelibrary.wiley.com/doi/abs/10.1002/jmri.25644 
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| Verfasserangaben: | Captur Gabriella, Radenkovic Dina, Li Chunming, Liu Yu, Aung Nay, Zemrak Filip, Tobon‐Gomez Catalina, Gao Xuexin, Elliott Perry M., Petersen Steffen E., Bluemke David A., Friedrich Matthias G., Moon James C. |
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| 245 | 1 | 0 | |a Community delivery of semiautomated fractal analysis tool in cardiac mr for trabecular phenotyping |c Captur Gabriella, Radenkovic Dina, Li Chunming, Liu Yu, Aung Nay, Zemrak Filip, Tobon‐Gomez Catalina, Gao Xuexin, Elliott Perry M., Petersen Steffen E., Bluemke David A., Friedrich Matthias G., Moon James C. |
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| 520 | |a Purpose To report the development of easy?to?use magnetic resonance imaging (MRI) fractal tools deployed on platforms accessible to all. The trabeculae of the left ventricle vary in health and disease but their measurement is difficult. Fractal analysis of cardiac MR images can measure trabecular complexity as a fractal dimension (FD). Materials and Methods This Health Insurance Portability and Accountability Act (HIPAA)?compliant study was approved by the local Institutional Review Board. Participants provided written informed consent. The original MatLab implementation (region?based level set segmentation and box?counting algorithm) was recoded for two platforms (OsiriX and a clinical MR reporting platform [cvi42, Circle Cardiovascular Imaging, Calgary, Canada]). For validation, 100 subjects were scanned at 1.5T and 20 imaged twice for interstudy reproducibility. Cines were analyzed by the three tools and FD variability determined. Manual trabecular delineation by an expert reader (R1) provided ground truth contours for validation of segmentation accuracy by point?to?curve (P2C) distance estimates. Manual delineation was repeated by R1 and a second reader (R2) on 15 cases for intra/interobserver variability. Results FD by OsiriX and the clinical MR reporting platform showed high correlation with MatLab values (correlation coefficients: 0.96 [95% CI: 0.95?0.97] and 0.96 [0.95?0.96]) and high interstudy and intraplatform reproducibility. Semiautomated contours in OsiriX and the clinical MR reporting platform were highly correlated with ground truth contours evidenced by low P2C errors: 0.882?±?0.76?mm and 0.709?±?0.617?mm. Validity of ground truth contours was inferred from low P2C errors between readers (R1?R1: 0.798?±?0.718?mm; R1?R2: 0.804?±?0.649?mm). Conclusion This set of accessible fractal tools that measure trabeculation in the heart have been validated and released to the cardiac MR community (http://j.mp/29xOw3B) to encourage novel clinical applications of fractals in the cardiac imaging domain. Level of Evidence: 3 Technical Efficacy: Stage 1 J. Magn. Reson. Imaging 2017;46:1082?1088. | ||
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| 650 | 4 | |a myocardial biology | |
| 650 | 4 | |a myocardial cardiomyopathy disease | |
| 650 | 4 | |a structure | |
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