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Clinical Trial Summary

Testing of new magnetic resonance imaging (MRI) pulse sequences (image acquisition software) for imaging the fetus to improve workflow and image quality in fetal imaging and diagnosis. The investigators would like to develop novel MRI approaches to enhance fetal imaging with MRI, in the presence of motion. As part of technical development, the investigators plan to develop methods to improve structural T1 and T2 weighted images, MR angiography, diffusion and spectroscopy measurements of the fetus.


Clinical Trial Description

Fetal MRI has become a critical tool for both studying the early development of the human brain and resolving diagnostic ambiguities that may remain after routine ultrasound exams. Due to its excellent soft-tissue contrast and the absence of harmful ionizing radiation, MRI is preferable to computed tomography for neuroimaging. Unfortunately, fetal and maternal motion limit fetal MRI to rapid two-dimensional (2D) sequences with thick slices such as half-Fourier single-shot turbo spin echo (HASTE). Although these sequences decrease the impact of motion during the sub-second acquisition of individual slices, multiple slices are needed, and contiguous orthogonal scans are challenging as motion occurs between slices. Typically, >38% of acquisitions are discarded because of corrupted geometry and artifacts. In this project the investigators will develop software that runs on the Siemens MRI scanner. This software will improve the workflow for fetal imaging i.e. for imaging the fetus in utero. Fetal imaging in its current form is inefficient due to the frequent motion of the fetus during the imaging procedure. In this project the investigators will develop automated methods for alignment and tracking of the fetus during imaging, to more efficiently image the fetus and to obtain better image quality in a shorter examination. The investigators are specifically interested in the fetal brain, but these methods may be generalized to all fetal organ systems. The investigators will install the software on the scanner and test these methods with volunteers. ;


Study Design


Related Conditions & MeSH terms


NCT number NCT05253742
Study type Observational
Source Massachusetts General Hospital
Contact Andre van der Kouwe, PhD
Phone 6177264704
Email avanderkouwe@mgh.harvard.edu
Status Not yet recruiting
Phase
Start date May 31, 2023
Completion date May 31, 2026

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