Investigating the impact of key algorithm parameters and patient‐specific factors on the accuracy of CT ventilation imaging
Jeremy Lim, John Kipritidis, Jeremy T. Booth, Paul J. Keall, Hilary L. Byrne · 2026
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Description
Jeremy Lim and co-authors probe in 2026 what drives accuracy in CT-based lung ventilation imaging. The method builds breathing maps from standard scans, a cheap stand-in for nuclear scans. A decade of clinic checks still leaves open how settings and patient traits sway its grades.
Ventilation maps from paired breath scans face gold-standard gas scans for truth. Two math routes turn scan pairs into maps through warp-based volume or density change. Traits like lung cut level and warp smoothness vary in the tests. Rank scores per voxel grade each map against the gas scan.
Catalog record
| CREATOR | Jeremy Lim, John Kipritidis, Jeremy T. Booth, Paul J. Keall, Hilary L. Byrne |
|---|---|
| YEAR | 2026 |
| COLLECTION | PAPERS |
| FORMAT | TXT |
| FILE SIZE | 36 KB |
| VERSION | 1.0 |
| LICENSE | CC BY 4.0 |
| RIGHTS | CC BY |
| SOURCE | Europe PMC |