Deep learning‐based T1‐enhanced selection of linear attenuation coefficients (DL‐TESLA) for PET/MR attenuation correction in dementia neuroimaging-Reference-Cited by-同舟云学术

Deep learning‐based T1‐enhanced selection of linear attenuation coefficients (DL‐TESLA) for PET/MR attenuation correction in dementia neuroimaging

Published:2021-02-08 Issue:1 Volume:86 Page:499-513
ISSN:0740-3194
Container-title:Magnetic Resonance in Medicine
language:en
Short-container-title:Magn. Reson. Med.

Author:

Chen Yasheng¹,Ying Chunwei²^ORCID,Binkley Michael M.¹^ORCID,Juttukonda Meher R.³⁴,Flores Shaney⁵,Laforest Richard⁵,Benzinger Tammie L. S.⁵,An Hongyu¹²⁵^ORCID

Affiliation:

1. Department of Neurology Washington University School of Medicine in St. Louis St. Louis Missouri USA

2. Department of Biomedical Engineering Washington University in St. Louis St. Louis Missouri USA

3. Athinoula A. Martinos Center for Biomedical Imaging Department of Radiology Massachusetts General Hospital Charlestown Massachusetts USA

4. Department of Radiology Harvard Medical School Boston Massachusetts USA

5. Mallinckrodt Institute of Radiology Washington University School of Medicine in St. Louis St. Louis Missouri USA

Funder

National Institutes of Health

Institute of Clinical and Translational Sciences

Siemens Healthineers

Eli Lilly and Company

Publisher

Wiley

Subject

Radiology Nuclear Medicine and imaging

Link

https://onlinelibrary.wiley.com/doi/pdf/10.1002/mrm.28689

Reference60 articles.

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5. PET/MR: improvement of the UTE μ-maps using modified MLAA

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