Alena Uus, Sara Neves Silva, Jordina Aviles Verdera, Kelly Payette, Megan Hall, Kathleen Colford, Aysha Luis, Helena Sousa, Zihan Ning, Thomas Roberts, Sarah McElroy, Maria Deprez, Joseph Hajnal, Mary Rutherford, Lisa Story, Jana Hutter
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引用次数: 0
Abstract
Background: Motion correction methods based on slice-to-volume registration (SVR) for fetal magnetic resonance imaging (MRI) allow reconstruction of three-dimensional (3-D) isotropic images of the fetal brain and body. However, all existing SVR methods are confined to research settings, which limits clinical integration. Furthermore, there have been no reported SVR solutions for low-field 0.55-T MRI.
Objective: Integration of automated SVR motion correction methods directly into fetal MRI scanning process via the Gadgetron framework to enable automated T2-weighted (T2W) 3-D fetal brain and body reconstruction in the low-field 0.55-T MRI scanner within the duration of the scan.
Materials and methods: A deep learning fully automated pipeline was developed for T2W 3-D rigid and deformable (D/SVR) reconstruction of the fetal brain and body of 0.55-T T2W datasets. Next, it was integrated into 0.55-T low-field MRI scanner environment via a Gadgetron workflow that enables launching of the reconstruction process directly during scanning in real-time.
Results: During prospective testing on 12 cases (22-40 weeks gestational age), the fetal brain and body reconstructions were available on average 6:42 ± 3:13 min after the acquisition of the final stack and could be assessed and archived on the scanner console during the ongoing fetal MRI scan. The output image data quality was rated as good to acceptable for interpretation. The retrospective testing of the pipeline on 83 0.55-T datasets demonstrated stable reconstruction quality for low-field MRI.
Conclusion: The proposed pipeline allows scanner-based prospective T2W 3-D motion correction for low-field 0.55-T fetal MRI via direct online integration into the scanner environment.
背景:胎儿磁共振成像(MRI)基于切片-体积配准(SVR)的运动校正方法可以重建胎儿大脑和身体的三维(3-D)各向同性图像。然而,所有现有的SVR方法都局限于研究环境,这限制了临床整合。此外,还没有报道低场0.55 t MRI的SVR解决方案。目的:通过Gadgetron框架将自动SVR运动校正方法直接集成到胎儿MRI扫描过程中,在扫描期间在低场0.55 t MRI扫描仪上实现自动t2加权(T2W) 3d胎儿脑和身体重建。材料与方法:开发了一种深度学习全自动管道,用于0.55 t T2W数据集胎儿脑和体的三维刚性和可变形(D/SVR)重建。接下来,通过Gadgetron工作流将其集成到0.55 t低场MRI扫描仪环境中,从而可以在实时扫描期间直接启动重建过程。结果:在12例(22-40孕周)的前瞻性测试中,在获得最终堆栈后平均6:42±3:13 min可获得胎儿脑和身体重建,并可在胎儿MRI扫描期间在扫描仪控制台进行评估和存档。输出图像数据质量被评为好到可接受的解释。在83个0.55-T数据集上对管道进行回顾性测试表明,低场MRI的重建质量稳定。结论:该流程通过直接在线集成到扫描仪环境中,可以对低场0.55 t胎儿MRI进行基于扫描仪的前瞻性T2W 3d运动校正。
期刊介绍:
Official Journal of the European Society of Pediatric Radiology, the Society for Pediatric Radiology and the Asian and Oceanic Society for Pediatric Radiology
Pediatric Radiology informs its readers of new findings and progress in all areas of pediatric imaging and in related fields. This is achieved by a blend of original papers, complemented by reviews that set out the present state of knowledge in a particular area of the specialty or summarize specific topics in which discussion has led to clear conclusions. Advances in technology, methodology, apparatus and auxiliary equipment are presented, and modifications of standard techniques are described.
Manuscripts submitted for publication must contain a statement to the effect that all human studies have been reviewed by the appropriate ethics committee and have therefore been performed in accordance with the ethical standards laid down in an appropriate version of the 1964 Declaration of Helsinki. It should also be stated clearly in the text that all persons gave their informed consent prior to their inclusion in the study. Details that might disclose the identity of the subjects under study should be omitted.