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Journal article

Ultra-high temporal resolution 4D angiography using arterial spin labeling with subspace reconstruction

Abstract:
Purpose
To achieve ultra-high temporal resolution non-contrast 4D angiography with improved spatiotemporal fidelity.
Methods
Continuous data acquisition using 3D golden-angle sampling following an arterial spin labeling preparation allows for flexibly reconstructing 4D dynamic angiograms at arbitrary temporal resolutions. However, k-space data is often temporally "binned" before image reconstruction, negatively affecting spatiotemporal fidelity and limiting temporal resolution. In this work, a subspace was extracted by linearly compressing a dictionary constructed from simulated curves of an angiographic kinetic model. The subspace was used to represent and reconstruct the voxelwise signal timecourse at the same temporal resolution as the data acquisition without temporal binning. Physiological parameters were estimated from the resulting images using a Bayesian fitting approach. A group of eight healthy subjects were scanned and the in vivo results reconstructed by different methods were compared. Because of the difficulty of obtaining ground truth 4D angiograms with ultra-high temporal resolution, the in vivo results were cross-validated with numerical simulations.
Results
The proposed method enables 4D time-resolved angiography with much higher temporal resolution (14.7 ms) than previously reported (˜50 ms) while maintaining high spatial resolution (1.1 mm isotropic). Blood flow dynamics were depicted in greater detail, thin vessel visibility was improved, and the estimated physiological parameters also exhibited more realistic spatial patterns with the proposed method.
Conclusion
Incorporating a subspace compressed kinetic model into the reconstruction of 4D ASL angiograms notably improved the temporal resolution and spatiotemporal fidelity, which was subsequently beneficial for accurate physiological modeling.
Publication status:
Published
Peer review status:
Peer reviewed

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Publisher copy:
10.1002/mrm.30407

Authors

More by this author
Institution:
University of Oxford
Division:
MSD
Department:
Clinical Neurosciences
Oxford college:
Green Templeton College
Role:
Author
ORCID:
0009-0009-1006-3869
More by this author
Institution:
University of Oxford
Division:
MSD
Department:
Clinical Neurosciences
Role:
Author
ORCID:
0000-0002-5020-5165
More by this author
Institution:
University of Oxford
Division:
MSD
Department:
Clinical Neurosciences
Role:
Author
ORCID:
0000-0001-6272-8783
More by this author
Institution:
University of Oxford
Division:
MSD
Department:
Clinical Neurosciences
Role:
Author
ORCID:
0000-0003-4134-374X
More by this author
Institution:
University of Oxford
Division:
MSD
Department:
Clinical Neurosciences
Oxford college:
Linacre College
Role:
Author
ORCID:
0000-0002-0329-824X


More from this funder
Funder identifier:
https://ror.org/029chgv08
Grant:
203139/Z/16/Z
220204/Z/20/Z


Publisher:
Wiley
Journal:
Magnetic Resonance in Medicine More from this journal
Volume:
93
Issue:
5
Pages:
1924-1941
Place of publication:
United States
Publication date:
2024-12-29
Acceptance date:
2024-12-04
DOI:
EISSN:
1522-2594
ISSN:
0740-3194
Pmid:
40063716


Language:
English
Keywords:
Pubs id:
2074888
Local pid:
pubs:2074888
Deposit date:
2025-05-22
ARK identifier:

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