Automated detection and reacquisition of motion‐degraded images in fetal HASTE imaging at 3 T-Reference-Cited by-同舟云学术

Automated detection and reacquisition of motion‐degraded images in fetal HASTE imaging at 3 T

Published:2021-12-10 Issue:4 Volume:87 Page:1914-1922
ISSN:0740-3194
Container-title:Magnetic Resonance in Medicine
language:en
Short-container-title:Magnetic Resonance in Med

Author:

Gagoski Borjan¹²^ORCID,Xu Junshen³^ORCID,Wighton Paul⁴^ORCID,Tisdall M. Dylan⁵^ORCID,Frost Robert²⁴^ORCID,Lo Wei‐Ching⁶^ORCID,Golland Polina³⁷^ORCID,Kouwe Andre²⁴^ORCID,Adalsteinsson Elfar³⁸^ORCID,Grant P. Ellen¹²^ORCID

Affiliation:

1. Fetal Neonatal Neuroimaging and Developmental Science Center Boston Children's Hospital Boston Massachusetts USA

2. Department of Radiology Harvard Medical School Boston Massachusetts USA

3. Department of Electrical Engineering and Computer Science Massachusetts Institute of Technology Cambridge Massachusetts USA

4. Athinoula A. Martinos Center for Biomedical Imaging Massachusetts General Hospital Charlestown Massachusetts USA

5. Department of Radiology Perelman School of Medicine University of Pennsylvania Philadelphia Pennsylvania USA

6. Siemens Medical Solutions USA, Inc Charlestown Massachusetts USA

7. Computer Science and Artificial Intelligence Laboratory (CSAIL) Massachusetts Institute of Technology Cambridge Massachusetts USA

8. Institute for Medical Engineering and Science Massachusetts Institute of Technology Cambridge Massachusetts USA

Publisher

Wiley

Subject

Radiology, Nuclear Medicine and imaging

Link

https://onlinelibrary.wiley.com/doi/pdf/10.1002/mrm.29106

Reference31 articles.

1. Current state of MRI of the fetal brain in utero

2. Use of MRI in the diagnosis of fetal brain abnormalities in utero (MERIDIAN): a multicentre, prospective cohort study

3. Fetal MRI: A technical update with educational aspirations

4. Reconstruction of fetal brain MRI with intensity matching and complete outlier removal

5. Intersection Based Motion Correction of Multislice MRI for 3-D in Utero Fetal Brain Image Formation

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