Your browser doesn't support javascript.
loading
Recent Advances in Radio-Frequency Coil Technologies: Flexible, Wireless, and Integrated Coil Arrays.
Darnell, Dean; Truong, Trong-Kha; Song, Allen W.
Afiliação
  • Darnell D; Brain Imaging and Analysis Center, Duke University, Durham, North Carolina, USA.
  • Truong TK; Brain Imaging and Analysis Center, Duke University, Durham, North Carolina, USA.
  • Song AW; Brain Imaging and Analysis Center, Duke University, Durham, North Carolina, USA.
J Magn Reson Imaging ; 55(4): 1026-1042, 2022 04.
Article em En | MEDLINE | ID: mdl-34324753
Radio-frequency (RF) coils are to magnetic resonance imaging (MRI) scanners what eyes are to the human body. Because of their critical importance, there have been constant innovations driving the rapid development of RF coil technologies. Over the past four decades, the breadth and depth of the RF coil technology evolution have far exceeded the space allowed for this review article. However, these past developments have laid the very foundation on which some of the recent technical breakthroughs are built upon. Here, we narrow our focus on some of the most recent RF coil advances, specifically, on flexible, wireless, and integrated coil arrays. To provide a detailed review, we discuss the theoretical underpinnings, experimental implementations, promising results, as well as future outlooks covering these exciting topics. These recent innovations have greatly improved patient comfort and ease of scan, while also increasing the signal-to-noise ratio, image resolution, temporal throughput, and diagnostic and treatment accuracy. Together with advances in other MRI subfields, they will undoubtedly continue to drive the field forward and lead us to an ever more exciting future. LEVEL OF EVIDENCE: 5 TECHNICAL EFFICACY: Stage 1.
Assuntos
Palavras-chave

Texto completo: 1 Coleções: 01-internacional Base de dados: MEDLINE Assunto principal: Ondas de Rádio / Processamento de Imagem Assistida por Computador Limite: Humans Idioma: En Ano de publicação: 2022 Tipo de documento: Article

Texto completo: 1 Coleções: 01-internacional Base de dados: MEDLINE Assunto principal: Ondas de Rádio / Processamento de Imagem Assistida por Computador Limite: Humans Idioma: En Ano de publicação: 2022 Tipo de documento: Article