Assessing aortic motion with automated 3D cine balanced steady state free precession cardiovascular magnetic resonance segmentation
Purpose: To apply a free-running three-dimensional (3D) cine balanced steady state free precession (bSSFP) cardiovascular magnetic resonance (CMR) framework in combination with artificial intelligence (AI) segmentations to quantify time-resolved aortic displacement, diameter and diameter change. Met...
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| Format: | Article |
| Language: | English |
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Elsevier
2024-01-01
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| Series: | Journal of Cardiovascular Magnetic Resonance |
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| Online Access: | http://www.sciencedirect.com/science/article/pii/S1097664724011165 |
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| author | Renske Merton Daan Bosshardt Gustav J. Strijkers Aart J. Nederveen Eric M. Schrauben Pim van Ooij |
| author_facet | Renske Merton Daan Bosshardt Gustav J. Strijkers Aart J. Nederveen Eric M. Schrauben Pim van Ooij |
| author_sort | Renske Merton |
| collection | DOAJ |
| description | Purpose: To apply a free-running three-dimensional (3D) cine balanced steady state free precession (bSSFP) cardiovascular magnetic resonance (CMR) framework in combination with artificial intelligence (AI) segmentations to quantify time-resolved aortic displacement, diameter and diameter change. Methods: In this prospective study, we implemented a free-running 3D cine bSSFP sequence with scan time of approximately 4 min facilitated by pseudo-spiral Cartesian undersampling and compressed-sensing reconstruction. Automated segmentation of the aorta in all cardiac timeframes was applied through the use of nnU-Net. Dynamic 3D motion maps were created for three repeated scans per volunteer, leading to the detailed quantification of aortic motion, as well as the measurement and change in diameter of the ascending aorta. Results: A total of 14 adult healthy volunteers (median age, 28 years (interquartile range [IQR]: 26.0–31.3), 6 females) were included. Automated segmentation compared to manual segmentation of the aorta test set showed a Dice score of 0.93 ± 0.02. The median (IQR) over all volunteers for the largest maximum and mean ascending aorta (AAo) displacement in the first scan was 13.0 (4.4) mm and 5.6 (2.4) mm, respectively. Peak mean diameter in the AAo was 25.9 (2.2) mm and peak mean diameter change was 1.4 (0.5) mm. The maximum individual variability over the three repeated scans of maximum and mean AAo displacement was 3.9 (1.6) mm and 2.2 (0.8) mm, respectively. The maximum individual variability of mean diameter and diameter change were 1.2 (0.5) mm and 0.9 (0.4) mm. Conclusion: A free-running 3D cine bSSFP CMR scan with a scan time of four minutes combined with an automated nnU-net segmentation consistently captured the aorta’s cardiac motion-related 4D displacement, diameter, and diameter change. |
| format | Article |
| id | doaj-art-2e9d97c4ccca4898854ae1fd77121d12 |
| institution | OA Journals |
| issn | 1097-6647 |
| language | English |
| publishDate | 2024-01-01 |
| publisher | Elsevier |
| record_format | Article |
| series | Journal of Cardiovascular Magnetic Resonance |
| spelling | doaj-art-2e9d97c4ccca4898854ae1fd77121d122025-08-20T01:56:48ZengElsevierJournal of Cardiovascular Magnetic Resonance1097-66472024-01-0126210108910.1016/j.jocmr.2024.101089Assessing aortic motion with automated 3D cine balanced steady state free precession cardiovascular magnetic resonance segmentationRenske Merton0Daan Bosshardt1Gustav J. Strijkers2Aart J. Nederveen3Eric M. Schrauben4Pim van Ooij5Amsterdam UMC location University of Amsterdam, Radiology and Nuclear Medicine, Meibergdreef 9, Amsterdam, the Netherlands; Amsterdam Cardiovascular Sciences, Atherosclerosis and Ischemic Syndromes, Amsterdam, the Netherlands; Corresponding author. Amsterdam UMC location University of Amsterdam, Radiology and Nuclear Medicine, Meibergdreef 9, Amsterdam, the Netherlands.Amsterdam UMC location University of Amsterdam, Radiology and Nuclear Medicine, Meibergdreef 9, Amsterdam, the Netherlands; Amsterdam Cardiovascular Sciences, Atherosclerosis and Ischemic Syndromes, Amsterdam, the NetherlandsAmsterdam UMC location University of Amsterdam, Biomedical Engineering and Physics, Meibergdreef 9, Amsterdam, the NetherlandsAmsterdam UMC location University of Amsterdam, Radiology and Nuclear Medicine, Meibergdreef 9, Amsterdam, the NetherlandsAmsterdam UMC location University of Amsterdam, Radiology and Nuclear Medicine, Meibergdreef 9, Amsterdam, the NetherlandsAmsterdam UMC location University of Amsterdam, Radiology and Nuclear Medicine, Meibergdreef 9, Amsterdam, the Netherlands; Amsterdam Cardiovascular Sciences, Atherosclerosis and Ischemic Syndromes, Amsterdam, the Netherlands; Corresponding author. Amsterdam Cardiovascular Sciences, Atherosclerosis and Ischemic Syndromes, Amsterdam, the Netherlands.Purpose: To apply a free-running three-dimensional (3D) cine balanced steady state free precession (bSSFP) cardiovascular magnetic resonance (CMR) framework in combination with artificial intelligence (AI) segmentations to quantify time-resolved aortic displacement, diameter and diameter change. Methods: In this prospective study, we implemented a free-running 3D cine bSSFP sequence with scan time of approximately 4 min facilitated by pseudo-spiral Cartesian undersampling and compressed-sensing reconstruction. Automated segmentation of the aorta in all cardiac timeframes was applied through the use of nnU-Net. Dynamic 3D motion maps were created for three repeated scans per volunteer, leading to the detailed quantification of aortic motion, as well as the measurement and change in diameter of the ascending aorta. Results: A total of 14 adult healthy volunteers (median age, 28 years (interquartile range [IQR]: 26.0–31.3), 6 females) were included. Automated segmentation compared to manual segmentation of the aorta test set showed a Dice score of 0.93 ± 0.02. The median (IQR) over all volunteers for the largest maximum and mean ascending aorta (AAo) displacement in the first scan was 13.0 (4.4) mm and 5.6 (2.4) mm, respectively. Peak mean diameter in the AAo was 25.9 (2.2) mm and peak mean diameter change was 1.4 (0.5) mm. The maximum individual variability over the three repeated scans of maximum and mean AAo displacement was 3.9 (1.6) mm and 2.2 (0.8) mm, respectively. The maximum individual variability of mean diameter and diameter change were 1.2 (0.5) mm and 0.9 (0.4) mm. Conclusion: A free-running 3D cine bSSFP CMR scan with a scan time of four minutes combined with an automated nnU-net segmentation consistently captured the aorta’s cardiac motion-related 4D displacement, diameter, and diameter change.http://www.sciencedirect.com/science/article/pii/S1097664724011165Aortic motion3D displacement3D cine bSSFPAutomated aortic segmentations |
| spellingShingle | Renske Merton Daan Bosshardt Gustav J. Strijkers Aart J. Nederveen Eric M. Schrauben Pim van Ooij Assessing aortic motion with automated 3D cine balanced steady state free precession cardiovascular magnetic resonance segmentation Journal of Cardiovascular Magnetic Resonance Aortic motion 3D displacement 3D cine bSSFP Automated aortic segmentations |
| title | Assessing aortic motion with automated 3D cine balanced steady state free precession cardiovascular magnetic resonance segmentation |
| title_full | Assessing aortic motion with automated 3D cine balanced steady state free precession cardiovascular magnetic resonance segmentation |
| title_fullStr | Assessing aortic motion with automated 3D cine balanced steady state free precession cardiovascular magnetic resonance segmentation |
| title_full_unstemmed | Assessing aortic motion with automated 3D cine balanced steady state free precession cardiovascular magnetic resonance segmentation |
| title_short | Assessing aortic motion with automated 3D cine balanced steady state free precession cardiovascular magnetic resonance segmentation |
| title_sort | assessing aortic motion with automated 3d cine balanced steady state free precession cardiovascular magnetic resonance segmentation |
| topic | Aortic motion 3D displacement 3D cine bSSFP Automated aortic segmentations |
| url | http://www.sciencedirect.com/science/article/pii/S1097664724011165 |
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