High-resolution anatomical imaging of the fetal brain with a reduced field of view using outer volume suppression.

Publication Type Academic Article
Authors Jang M, Gupta A, Kovanlikaya A, Scholl J, Zun Z
Journal Magn Reson Med
Volume 92
Issue 4
Pagination 1556-1567
Date Published 05/04/2024
ISSN 1522-2594
Keywords Brain, Phantoms, Imaging, Magnetic Resonance Imaging, Artifacts, Algorithms
Abstract PURPOSE: To achieve high-resolution fetal brain anatomical imaging without introducing image artifacts by reducing the FOV, and to demonstrate improved image quality compared to conventional full-FOV fetal brain imaging. METHODS: Reduced FOV was achieved by applying outer volume suppression (OVS) pulses immediately prior to standard single-shot fast spin echo (SSFSE) imaging. In the OVS preparation, a saturation RF pulse followed by a gradient spoiler was repeated three times with optimized flip-angle weightings and a variable spoiler scheme to enhance signal suppression. Simulations and phantom and in-vivo experiments were performed to evaluate OVS performance. In-vivo high-resolution SSFSE images acquired using the proposed approach were compared with conventional and high-resolution SSFSE images with a full FOV, using image quality scores assessed by neuroradiologists and calculated image metrics. RESULTS: Excellent signal suppression in the saturation bands was confirmed in phantom and in-vivo experiments. High-resolution SSFSE images with a reduced FOV acquired using OVS demonstrated the improved depiction of brain structures without significant motion and blurring artifacts. The proposed method showed the highest image quality scores in the criteria of sharpness, contrast, and artifact and was selected as the best method based on overall image quality. The calculated image sharpness and tissue contrast ratio were also the highest with the proposed method. CONCLUSION: High-resolution fetal brain anatomical images acquired using a reduced FOV with OVS demonstrated improved image quality both qualitatively and quantitatively, suggesting the potential for enhanced diagnostic accuracy in detecting fetal brain abnormalities in utero.
DOI 10.1002/mrm.30147
PubMed ID 38702999
PubMed Central ID PMC11262973
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