Left Ventricle: Fully Automated Segmentation Based on Spatiotemporal Continuity and Myocardium Information in Cine Cardiac Magnetic Resonance Imaging (LV-FAST)

@inproceedings{Wang2015LeftVF,
  title={Left Ventricle: Fully Automated Segmentation Based on Spatiotemporal Continuity and Myocardium Information in Cine Cardiac Magnetic Resonance Imaging (LV-FAST)},
  author={Lijia Wang and Mengchao Pei and Noel C. F. Codella and Minisha Kochar and Jonathan W. Weinsaft and Jian-qi Li and Martin R. Prince and Yi Wang},
  booktitle={BioMed research international},
  year={2015}
}
CMR quantification of LV chamber volumes typically and manually defines the basal-most LV, which adds processing time and user-dependence. This study developed an LV segmentation method that is fully automated based on the spatiotemporal continuity of the LV (LV-FAST). An iteratively decreasing threshold region growing approach was used first from the midventricle to the apex, until the LV area and shape discontinued, and then from midventricle to the base, until less than 50% of the myocardium… CONTINUE READING
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