Pires Tancia, Pendem Saikiran, M M Jaseemudheen
Department of Medical Imaging Technology, 76799 Manipal College of Health Professions, Manipal Academy of Higher Education , Manipal, 576104, Karnataka, India.
Department of Medical Imaging Technology, K.S. Hegde Medical Academy (KSHEMA), NITTE (Deemed to be University), Mangalore, Karnataka, India.
Diagnosis (Berl). 2025 Feb 7. doi: 10.1515/dx-2024-0168.
Synthetic magnetic resonance imaging (SyMRI) is a non-invasive, robust MRI technique that generates multiple contrast-weighted images by acquiring a single MRI sequence within a few minutes, along with quantitative maps, automatic brain segmentation, and volumetry. Since its inception, it has undergone technical advancements and has also been tested for feasibility in various organs and pathological conditions. This scoping review comprehensively pinpoints the critical technical aspects and maps the wide range of clinical applications/benefits of SyMRI.
A comprehensive search was conducted across five databases, PubMed, Scopus, Web of Science, Embase, and CINAHL Ultimate, using appropriate keywords related to SyMRI. A total of 99 studies were included after a 2-step screening process. Data related to the technical factors and clinical application was charted.
SyMRI provides quantitative maps and segmentation techniques comparable to conventional MRI and has demonstrated feasibility and applications across neuroimaging, musculoskeletal, abdominal and breast pathologies spanning the entire human lifespan, from prenatal development to advanced age. Certain drawbacks related to image quality have been encountered that can be overcome with technical advances, especially AI-based algorithms.
SyMRI has immense potential for being incorporated into routine imaging for various pathologies due to its added advantage of providing quantitative measurements for more robust diagnostic and prognostic work-up with faster acquisitions and greater post-processing options.
合成磁共振成像（SyMRI）是一种非侵入性的、强大的磁共振成像技术，它通过在几分钟内采集单个磁共振成像序列，生成多个对比加权图像，同时还能生成定量图谱、自动脑部分割和容积测量。自问世以来，它经历了技术进步，并且也在各种器官和病理状况下进行了可行性测试。本综述全面指出了关键技术方面，并梳理了SyMRI广泛的临床应用/益处。
使用与SyMRI相关的适当关键词，在五个数据库（PubMed、Scopus、Web of Science、Embase和CINAHL Ultimate）中进行了全面检索。经过两步筛选过程，共纳入了99项研究。绘制了与技术因素和临床应用相关的数据。
SyMRI提供的定量图谱和分割技术可与传统磁共振成像相媲美，并且已在从产前发育到老年的整个人类生命周期的神经成像、肌肉骨骼、腹部和乳腺病理学中证明了其可行性和应用。已经遇到了一些与图像质量相关的缺点，这些缺点可以通过技术进步，特别是基于人工智能的算法来克服。
由于SyMRI具有额外的优势，即能够通过更快的采集和更多的后处理选项提供定量测量，以进行更可靠的诊断和预后评估，因此它在纳入各种病理的常规成像方面具有巨大潜力。
