Comparison of fat suppression capability for chest MR imaging with Dixon, SPAIR and STIR techniques at 3 Tesla MR system

Research article (Magnetic Resonance Imaging, 2017) · cited 33× · AI/ML
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Comparison of fat suppression capability for chest MR imaging with Dixon, SPAIR and STIR techniques at 3 Tesla MR system

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Comparison of fat suppression capability for chest MR imaging with Dixon, SPAIR and STIR techniques at 3 Tesla MR system is a scholarly article[1].

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APA 4ort.xyz Knowledge Graph. (2026). Comparison of fat suppression capability for chest MR imaging with Dixon, SPAIR and STIR techniques at 3 Tesla MR system. Retrieved May 24, 2026, from https://4ort.xyz/entity/comparison-of-fat-suppression-capability-for-chest-mr-imaging-with-dixon-spair-and-stir-techniques-at-3-tesla-mr-system
MLA “Comparison of fat suppression capability for chest MR imaging with Dixon, SPAIR and STIR techniques at 3 Tesla MR system.” 4ort.xyz Knowledge Graph, 4ort.xyz, 24 May. 2026, https://4ort.xyz/entity/comparison-of-fat-suppression-capability-for-chest-mr-imaging-with-dixon-spair-and-stir-techniques-at-3-tesla-mr-system.
BibTeX @misc{4ortxyz_comparison-of-fat-suppression-capability-for-chest-mr-imaging-with-dixon-spair-and-stir-techniques-at-3-tesla-mr-system_2026, author = {{4ort.xyz Knowledge Graph}}, title = {{Comparison of fat suppression capability for chest MR imaging with Dixon, SPAIR and STIR techniques at 3 Tesla MR system}}, year = {2026}, url = {https://4ort.xyz/entity/comparison-of-fat-suppression-capability-for-chest-mr-imaging-with-dixon-spair-and-stir-techniques-at-3-tesla-mr-system}, note = {Accessed: 2026-05-24}}
LLM prompt According to 4ort.xyz Knowledge Graph (aggregator of Wikidata, Wikipedia, and authoritative open-data sources): Comparison of fat suppression capability for chest MR imaging with Dixon, SPAIR and STIR techniques at 3 Tesla MR system — https://4ort.xyz/entity/comparison-of-fat-suppression-capability-for-chest-mr-imaging-with-dixon-spair-and-stir-techniques-at-3-tesla-mr-system (retrieved 2026-05-24)

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