ArticleClinical physiology and functional imaging2019
A new vessel segmentation algorithm for robust blood flow quantification from two-dimensional phase-contrast magnetic resonance images.
Article in Clinical physiology and functional imaging, 2019. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 17 papers.
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17 citing papers in PubMed, 25 citations in OpenAlex.
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- Evaluation of Real-Time Cardiovascular Flow MRI Using Compressed Sensing in a Phantom and in Patients With Valvular Disease or Arrhythmia.Journal of magnetic resonance imaging : JMRI · 2025Article
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- Timing of Regadenoson-induced Peak Hyperemia and the Effects on Coronary Flow Reserve.medRxiv : the preprint server for health sciences · 2024Article
- Individualized cortical gyrification in neonates with congenital heart disease.Brain communications · 2024Article
- Fetal growth restriction followed by very preterm birth is associated with smaller kidneys but preserved kidney function in adolescence.Pediatric nephrology (Berlin, Germany) · 2023Article
- Uncertainty Quantification in the In Vivo Image-Based Estimation of Local Elastic Properties of Vascular Walls.Journal of cardiovascular development and disease · 2023Article
- Fully-automated deep learning-based flow quantification of 2D CINE phase contrast MRI.European radiology · 2023Article
- Comparison of 2D and 4D Flow MRI in Neonates Without General Anesthesia.Journal of magnetic resonance imaging : JMRI · 2023Article
- Imaging gravity-induced lung water redistribution with automated inline processing at 0.55 T cardiovascular magnetic resonance.Journal of cardiovascular magnetic resonance : official journal of the Society for Cardiovascular Magnetic Resonance · 2022Article
- Validation and quantification of left ventricular function during exercise and free breathing from real-time cardiac magnetic resonance images.Scientific reports · 2022Article
- Medical Image-Based Computational Fluid Dynamics and Fluid-Structure Interaction Analysis in Vascular Diseases.Frontiers in bioengineering and biotechnology · 2022Review
- Valvular imaging in the era of feature-tracking: A slice-following cardiac MR sequence to measure mitral flow.Journal of magnetic resonance imaging : JMRI · 2020Article
Corrections and comments
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Authors and funding
8 authors at 1 institution in 2 countries.
Funding
Abstract
Blood flow measurements in the ascending aorta and pulmonary artery from phase-contrast magnetic resonance images require accurate time-resolved vessel segmentation over the cardiac cycle. Current semi-automatic segmentation methods often involve time-consuming manual correction, relying on user experience for accurate results. The purpose of this study was to develop a semi-automatic vessel segmentation algorithm with shape constraints based on manual vessel delineations for robust segmentation of the ascending aorta and pulmonary artery, to evaluate the proposed method in healthy volunteers and patients with heart failure and congenital heart disease, to validate the method in a pulsatile flow phantom experiment, and to make the method freely available for research purposes. Algorithm shape constraints were extracted from manual reference delineations of the ascending aorta (n = 20) and pulmonary artery (n = 20) and were included in a semi-automatic segmentation method only requiring manual delineation in one image. Bias and variability (bias ± SD) for flow volume of the proposed algorithm versus manual reference delineations were 0·0 ± 1·9 ml in the ascending aorta (n = 151; seven healthy volunteers; 144 heart failure patients) and -1·7 ± 2·9 ml in the pulmonary artery (n = 40; 25 healthy volunteers; 15 patients with atrial septal defect). Interobserver bias and variability were lower (P = 0·008) for the proposed semi-automatic method (-0·1 ± 0·9 ml) compared to manual reference delineations (1·5 ± 5·1 ml). Phantom validation showed good agreement between the proposed method and timer-and-beaker flow volumes (0·4 ± 2·7 ml). In conclusion, the proposed semi-automatic vessel segmentation algorithm can be used for efficient analysis of flow and shunt volumes in the aorta and pulmonary artery.
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