2015
DOI: 10.1002/mrm.25673
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Multistage three‐dimensional UTE lung imaging by image‐based self‐gating

Abstract: Image-based respiratory self gating in UTE 3D lung images allows successful retrospective respiratory gating, also enabling reconstruction of intermediate respiratory stages.

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Cited by 41 publications
(63 citation statements)
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“…However, there was substantial disagreement for subjects with irregular breathing patterns (Cases 1,2,5,6) as indicated by lower correlation coefficients. Similar results across cases were observed in the diaphragm sharpness of soft-gating L1-ESPIRiT reconstructed images, as measured by the maximum derivative metric (27). For the subjects with regular breathing patterns (Cases 4,7,8), the different respiration estimation methods resulted in similar sharpness measures.…”
Section: Resultssupporting
confidence: 71%
“…However, there was substantial disagreement for subjects with irregular breathing patterns (Cases 1,2,5,6) as indicated by lower correlation coefficients. Similar results across cases were observed in the diaphragm sharpness of soft-gating L1-ESPIRiT reconstructed images, as measured by the maximum derivative metric (27). For the subjects with regular breathing patterns (Cases 4,7,8), the different respiration estimation methods resulted in similar sharpness measures.…”
Section: Resultssupporting
confidence: 71%
“…To assess the performance of the motion suppression technique, the sharpness of the transition at the lung‐liver interface was quantified by computing the normalized maximum of the first derivative (MD) on the 4 reconstructed respiratory frames. The maximum of the first derivative was computed along 21 vertical profiles going through the lung‐liver interface and the value measured in each profile was normalized to the value measured in the corresponding profiles of the motion corrupted datasets.…”
Section: Methodsmentioning
confidence: 99%
“…Procedure tolerance was evaluated by the volunteers using an analog scale with the following values: 1 = inacceptable, 2 = bad, 3 = good, 4 = very good, 5 = excellent. In addition, the delineation of the lung-liver interface was quantified in the ultra-short echo time images by measuring the normalized maximum of the first derivative (MD) [11]. This measure is defined such that values greater than 1 indicate an improvement in image sharpness under prolonged thoracic stabilization relative to free breathing acquisition.…”
Section: Methodsmentioning
confidence: 99%