[論文レビュー] Temporally resolved aortic 3D shape reconstruction from a limited number of cine 2D MRI slices
The paper demonstrates time-resolved 3D reconstruction of subject-specific aortic geometries from as few as six cine 2D MRI slices by coupling a statistical shape model with a differentiable volumetric mesh optimization, validated against 4D flow MRI reference data.
Background and Objective: We propose a shape reconstruction framework to generate time-resolved, patient-specific 3D aortic geometries from a limited number of standard cine 2D magnetic resonance imaging (MRI) acquisitions. A statistical shape model of the aorta is coupled with differentiable volumetric mesh optimization to obtain personalized aortic meshes. Methods: The statistical shape model was constructed from retrospective data and optimized 2D slice placements along the aortic arch were identified. Cine 2D MRI slices were then acquired in 30 subjects (19 volunteers, 11 aortic stenosis patients). After manual segmentation, time-resolved aortic models were generated via differentiable volumetric mesh optimization to derive vessel shape features, centerline parameters, and radial wall strain. In 10 subjects, additional 4D flow MRI was acquired to compare peak-systolic shapes. Results: Anatomically accurate aortic geometries were obtained from as few as six cine 2D MRI slices, achieving a mean +/- standard deviation Dice score of (89.9 +/- 1.6) %, Intersection over Union of (81.7 +/- 2.7) %, Hausdorff distance of (7.3 +/- 3.3) mm, and Chamfer distance of (3.7 +/- 0.6) mm relative to 4D flow MRI. The mean absolute radius error was (0.8 +/- 0.6) mm. Significant age-related differences were observed for all shape features, including radial strain, which decreased progressively ((11.00 +/- 3.11) x 10-2 vs. (3.74 +/- 1.25) x 10-2 vs. (2.89 +/- 0.87) x 10-2 for young, mid-age, and elderly groups). Conclusion: The proposed method enables efficient extraction of time-resolved 3D aortic meshes from limited sets of standard cine 2D MRI acquisitions, suitable for computational shape and strain analysis.
研究の動機と目的
- Assess the feasibility of reconstructing time-resolved, 3D, subject-specific aortic geometries from a limited set of cine 2D MRI slices.
- Evaluate accuracy of the reconstructions against 4D flow MRI references and analyze geometric descriptors and radial strain across subjects.
- Identify optimal cine slice positioning and validate on in-vivo data from volunteers and aortic stenosis patients.
提案手法
- Manually segment Cine 2D MRI slices.
- Use a differentiable mesh optimization constrained by a statistical shape model to reconstruct 3D geometries.
- Evaluate optimal slice positioning on synthetic data before in-vivo experiments on 30 subjects.
- Derive geometric descriptors and radial strain from time-resolved geometries.
- In a subset (n=10), compare peak-systolic shapes to 4D flow MRI references.
実験結果
リサーチクエスチョン
- RQ1Can time-resolved 3D, subject-specific aortic geometries be accurately reconstructed from a limited number of cine 2D MRI slices?
- RQ2What is the accuracy of the reconstruction compared to 4D flow MRI references at peak systole?
- RQ3How do geometric descriptors and radial strain vary with age groups in the reconstructed aorta?
主な発見
| Metric | Value (Mean ± SD) |
|---|---|
| Dice vs 4D flow reference | 89.9% ± 1.6% |
| IoU vs 4D flow reference | 81.7% ± 2.7% |
| Hausdorff distance | 7.3 mm ± 3.3 mm |
| Chamfer distance | 3.7 mm ± 0.6 mm |
| Mean absolute radius error (aortic arch) | 0.8 mm ± 0.6 mm |
- Accurate reconstruction is achievable with as few as six cine 2D MRI slices.
- Dice score vs 4D flow reference: 89.9% ± 1.6%; IoU: 81.7% ± 2.7%; Hausdorff: 7.3 mm ± 3.3; Chamfer: 3.7 mm ± 0.6.
- Mean absolute radius error along the aortic arch: 0.8 mm ± 0.6.
- Significant age-related differences in geometric features and radial strain observed across young, mid-age, and elderly groups; radial strain decreases with age (values: 11.00e-3 ± 3.11e-3, 3.74e-3 ± 1.25e-3, 2.89e-3 ± 0.87e-3).
- Four-dimensional flow MRI in a subset (n=10) provided reference for peak-systolic shape comparison.
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