A probabilistic Bayesian approach to recover R2*$$ {R}_{2\ast } $$ map and phase images for quantitative susceptibility mapping

Shuai Huang, James J. Lah, Jason W. Allen, Deqiang Qiu

Open source

DOI: 10.1002/mrm.29303
Published: 2022-06-07
Container: Magnetic Resonance in Medicine
Publisher: Wiley
Open access: unknown

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Cite this work

BibTeX

@article{allodium:10.1002/mrm.29303,
  title = {A probabilistic Bayesian approach to recover R2*\$\$ \{R\}\_\{2\textbackslash{}ast \} \$\$ map and phase images for quantitative susceptibility mapping},
  author = {Shuai Huang and James J. Lah and Jason W. Allen and Deqiang Qiu},
  year = {2022},
  journal = {Magnetic Resonance in Medicine},
  doi = {10.1002/mrm.29303},
  url = {https://doi.org/10.1002/mrm.29303}
}

RIS

TY  - JOUR
TI  - A probabilistic Bayesian approach to recover R2*$$ {R}_{2\ast } $$ map and phase images for quantitative susceptibility mapping
AU  - Shuai Huang
AU  - James J. Lah
AU  - Jason W. Allen
AU  - Deqiang Qiu
PY  - 2022
JO  - Magnetic Resonance in Medicine
DO  - 10.1002/mrm.29303
UR  - https://doi.org/10.1002/mrm.29303
ER  -

APA

Huang, S., Lah, J. J., Allen, J. W., & Qiu, D. (2022). A probabilistic Bayesian approach to recover R2*$$ {R}_{2\ast } $$ map and phase images for quantitative susceptibility mapping. Magnetic Resonance in Medicine. https://doi.org/10.1002/mrm.29303

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crossref · retrieved 2026-09-24T20:40:53.287Z