Adany Peter, Choi In-Young, Lee Phil
Hoglund Brain Imaging Center, University of Kansas Medical Center, Kansas City, KS 66160, USA.
Hoglund Brain Imaging Center, University of Kansas Medical Center, Kansas City, KS 66160, USA; Department of Molecular & Integrative Physiology, University of Kansas Medical Center, Kansas City, KS 66160, USA; Department of Neurology, University of Kansas Medical Center, Kansas City, KS 66160, USA.
Neuroimage. 2016 Jul 1;134:355-364. doi: 10.1016/j.neuroimage.2016.04.016. Epub 2016 Apr 11.
Spectral localization by imaging (SLIM) based magnetic resonance spectroscopy (MRS) provides a framework that overcomes major limitations of current MRS techniques, which allow only rectangular voxel shapes that do not conform to the shapes of brain structures or lesions. However, the restrictive assumption of compartmental homogeneity in SLIM can lead to localization errors, thus its applications have been very limited to date. SLIM-based localization is subject to errors due to inhomogeneous B0 and B1 fields, particularly in organs with complex compartmental geometry including the human brain. The limitations of SLIM were overcome through the development and implementation of B0-adjusted and sensitivity-encoded SLIM (BASE-SLIM) that includes corrections for inhomogeneities of both B0 and B1 fields throughout the volume of interest. In this study, we demonstrate significantly improved localization accuracy in compartments with arbitrary shapes and reliable quantification of metabolite concentrations in gray and white matter of the human brain using the BASE-SLIM technique.
基于成像的磁共振波谱(MRS)的光谱定位(SLIM)提供了一个框架,克服了当前MRS技术的主要局限性,当前技术仅允许矩形体素形状,而这些形状与脑结构或病变的形状不符。然而,SLIM中隔室同质性的限制性假设可能导致定位误差,因此到目前为止其应用非常有限。基于SLIM的定位容易因B0和B1场不均匀而产生误差,特别是在包括人脑在内的具有复杂隔室几何形状的器官中。通过开发和实施B0校正和灵敏度编码的SLIM(BASE-SLIM)克服了SLIM的局限性,该技术包括对感兴趣体积内B0和B1场不均匀性的校正。在本研究中,我们证明了使用BASE-SLIM技术在具有任意形状的隔室中显著提高了定位准确性,并可靠地定量了人脑灰质和白质中的代谢物浓度。