Mougin Olivier, Abdel-Fahim Rasha, Dineen Robert, Pitiot Alain, Evangelou Nikos, Gowland Penny
Sir Peter Mansfield Imaging Centre, School of Physics and Astronomy, University of Nottingham, Nottingham, Nottinghamshire, United Kingdom.
Division of Clinical Neuroscience, School of Medicine, University of Nottingham, NG7 2RD, Nottingham, Nottinghamshire, United Kingdom.
Magn Reson Med. 2016 Nov;76(5):1512-1516. doi: 10.1002/mrm.26061. Epub 2015 Nov 24.
To present an improved three-dimensional (3D) interleaved phase sensitive inversion recovery (PSIR) sequence including a concomitantly acquired new contrast, null point imaging (NPI), to help detect and classify abnormalities in cortical gray matter.
The 3D gradient echo PSIR images were acquired at 0.6 mm isotropic resolution on 11 multiple sclerosis (MS) patients and 9 controls subjects using a 7 Tesla (T) MRI scanner, and 2 MS patients at 3T. Cortical abnormalities were delineated on the NPI/PSIR data and later classified according to position in the cortex.
The NPI helped detect cortical lesions within the cortical ribbon with increased, positive contrast compared with the PSIR. It also provided improved intrinsic delineation of the ribbon, increasing confidence in classifying the lesions' locations.
The proposed PSIR facilitates the classification of cortical lesions by providing two T -weighted 3D datasets with isotropic resolution, including the NPI showing cortical lesions with clear delineation of the gray/white matter boundary and minimal partial volume effects. Magn Reson Med 76:1512-1516, 2016. © 2015 The Authors. Magnetic Resonance in Medicine published by Wiley Periodicals, Inc. on behalf of International Society for Magnetic Resonance in Medicine. This is an open access article under the terms of the Creative Commons Attribution License, which permits use, distribution and reproduction in any medium, provided the original work is properly cited.
提出一种改进的三维（3D）交错式相位敏感反转恢复（PSIR）序列，该序列同时采集一种新的对比成像——零值点成像（NPI），以帮助检测和分类皮质灰质异常。
使用7特斯拉（T）磁共振成像（MRI）扫描仪，以各向同性分辨率0.6毫米采集11例多发性硬化（MS）患者和9例对照受试者的3D梯度回波PSIR图像，以及2例3T的MS患者的图像。在NPI/PSIR数据上勾勒出皮质异常，随后根据其在皮质中的位置进行分类。
与PSIR相比，NPI有助于检测皮质带内对比度增加且呈阳性的皮质病变。它还改善了皮质带的固有勾勒，提高了对病变位置分类的信心。
所提出的PSIR通过提供两个具有各向同性分辨率的T加权3D数据集，促进了皮质病变的分类，其中包括NPI，其显示皮质病变时灰质/白质边界清晰，部分容积效应最小。《磁共振医学》76:1512 - 1516，2016年。©2015作者。《磁共振医学》由威利期刊公司代表国际磁共振医学学会出版。这是一篇根据知识共享署名许可协议条款的开放获取文章，允许在任何媒介中使用、分发和复制，前提是正确引用原始作品。
