Poullet Jean-Baptiste, Sima Diana M, Van Huffel Sabine, Van Hecke Paul
Department of Electrical Engineering, SCD-SISTA, Katholieke Universiteit Leuven, Kasteelpark Arenberg 10, 3001 Leuven, Belgium.
J Magn Reson. 2007 Jun;186(2):293-304. doi: 10.1016/j.jmr.2007.03.015. Epub 2007 Mar 28.
Accurate and efficient filtering techniques are required to suppress large nuisance components present in short-echo time magnetic resonance (MR) spectra. This paper discusses two powerful filtering techniques used in long-echo time MR spectral quantitation, the maximum-phase FIR filter (MP-FIR) and the Hankel-Lanczos Singular Value Decomposition with Partial ReOrthogonalization (HLSVD-PRO), and shows that they can be applied to their more complex short-echo time spectral counterparts. Both filters are validated and compared through extensive simulations. Their properties are discussed. In particular, the capability of MP-FIR for dealing with macromolecular components is emphasized. Although this property does not make a large difference for long-echo time MR spectra, it can be important when quantifying short-echo time spectra.
需要精确且高效的滤波技术来抑制短回波时间磁共振（MR）谱中存在的大量干扰成分。本文讨论了长回波时间MR谱定量中使用的两种强大滤波技术，即最大相位有限脉冲响应滤波器（MP-FIR）和带部分重新正交化的汉克尔-兰索斯奇异值分解（HLSVD-PRO），并表明它们可应用于更复杂的短回波时间谱对应物。通过广泛的模拟对这两种滤波器进行了验证和比较。讨论了它们的特性。特别强调了MP-FIR处理大分子成分的能力。尽管这一特性对长回波时间MR谱影响不大，但在定量短回波时间谱时可能很重要。
