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Reconstruction of an input function from a dynamic PET water image using multiple tissue curves

Research article (Physics in Medicine and Biology, 2016) · cited 16× · AI/ML
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Reconstruction of an input function from a dynamic PET water image using multiple tissue curves

Summary

Reconstruction of an input function from a dynamic PET water image using multiple tissue curves is a scholarly article[1].

Key Facts

  • Reconstruction of an input function from a dynamic PET water image using multiple tissue curves's instance of is recorded as scholarly article[2].

References

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Direct Wikidata claims

  1. [2] ↑ . wikidata.org.

Class ancestry

  1. [1] ↑ . Wikidata. wikidata.org.

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APA 4ort.xyz Knowledge Graph. (2026). Reconstruction of an input function from a dynamic PET water image using multiple tissue curves. Retrieved May 24, 2026, from https://4ort.xyz/entity/reconstruction-of-an-input-function-from-a-dynamic-pet-water-image-using-multiple-tissue-curves
MLA “Reconstruction of an input function from a dynamic PET water image using multiple tissue curves.” 4ort.xyz Knowledge Graph, 4ort.xyz, 24 May. 2026, https://4ort.xyz/entity/reconstruction-of-an-input-function-from-a-dynamic-pet-water-image-using-multiple-tissue-curves.
BibTeX @misc{4ortxyz_reconstruction-of-an-input-function-from-a-dynamic-pet-water-image-using-multiple-tissue-curves_2026, author = {{4ort.xyz Knowledge Graph}}, title = {{Reconstruction of an input function from a dynamic PET water image using multiple tissue curves}}, year = {2026}, url = {https://4ort.xyz/entity/reconstruction-of-an-input-function-from-a-dynamic-pet-water-image-using-multiple-tissue-curves}, note = {Accessed: 2026-05-24}}
LLM prompt According to 4ort.xyz Knowledge Graph (aggregator of Wikidata, Wikipedia, and authoritative open-data sources): Reconstruction of an input function from a dynamic PET water image using multiple tissue curves — https://4ort.xyz/entity/reconstruction-of-an-input-function-from-a-dynamic-pet-water-image-using-multiple-tissue-curves (retrieved 2026-05-24)

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