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Society for Pediatric Radiology – Poster Archive


Image Quality
Showing 3 Abstracts.

Goncalves Luis,  Lindblade Christopher,  Cornejo Patricia,  Patel Mittun,  Wishah Fidaa,  Bardo Dianna

Final Pr. ID: Paper #: 107

The purpose of this study is to report visualization rates for standard cardiac axial views by FCMR using a prospective ECG pseudogating method and compare visualization rates for acquisitions performed in 1.5 and 3T. Secondary aims include a comparison of image quality between 2 observers and between 1.5 and 3T. Specific absorption rates (SAR) are also compared. Read More

Authors:  Goncalves Luis , Lindblade Christopher , Cornejo Patricia , Patel Mittun , Wishah Fidaa , Bardo Dianna

Keywords:  fetal cardiac MRI, 3T, image quality

Le Judy

Final Pr. ID: Poster #: EDU-05 (R)

The goal of this study is to educate Radiographers on varies specialty surfaces that are often under critical care patients and how they affect image quality on portable x-rays. By understanding which items cause image artifacts, radiographers can reduce the amount of repeated images and thus, decrease dose to patients. Read More

Authors:  Le Judy

Keywords:  portable imaging, infant, image quality

Tan Fei,  Zapala Matthew,  Durand Rachelle,  Chan Marilynn,  Larson Peder

Final Pr. ID: Poster #: SCI-035

MRI is not routinely used in clinical practice for lung imaging because of the low proton density and respiratory motion artifact. However, the ultrashort echo time (UTE) MRI technique can increase the signal in the lung. Image reconstruction techniques, such as iterative motion compensated (iMoCo) reconstruction, have improved respiratory motion management for free-breathing lung MRI scans. With the advantage of no ionizing radiation, MRI can benefit patients with immunodeficiency who often require repeat imaging, patients with heightened radiation sensitivity, and/or pediatric patients. In this abstract, we aim to evaluate the imaging quality of UTE lung MRI in the pediatric population. Read More

Authors:  Tan Fei , Zapala Matthew , Durand Rachelle , Chan Marilynn , Larson Peder

Keywords:  MRI, Image Quality, Lung