Region Expansion of Background Field Removal with Local Spherical Harmonics Approximation for Whole-brain Quantitative Susceptibility Mapping.

IF 4.6 Q2 MATERIALS SCIENCE, BIOMATERIALS ACS Applied Bio Materials Pub Date : 2023-10-01 Epub Date: 2022-11-12 DOI:10.2463/mrms.mp.2021-0043
Toru Shirai, Ryota Sato, Yasuo Kawata, Yoshitaka Bito, Hisaaki Ochi
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引用次数: 2

Abstract

Purpose: Quantitative susceptibility mapping (QSM) is useful for obtaining biological information. To calculate susceptibility distribution, it is necessary to calculate the local field caused by the differences of susceptibility between the tissues. The local field can be obtained by removing a background field from a total field acquired by MR phase image. Conventional approaches based on spherical mean value (SMV) filtering, which are widely used for background field calculations, fail to calculate the background field of the brain surface region corresponding to the radius of the SMV kernel, and consequently cannot calculate the QSM of the brain surface region. Accordingly, a new method calculating the local field by expansively removing the background field is proposed for whole brain QSM.

Methods: The proposed method consists of two steps. First, the background field of the brain surface is calculated from the total field using a locally polynomial approximation of spherical harmonics. Second, the whole brain local field is calculated by SMV filtering with a constraint term of the background field of the brain surface. The parameters of the approximation were optimized to reduce calculation errors through simulations using both a numerical phantom and a measured human brain. Performance of the proposed method with the optimized parameters was quantitatively and visually compared with conventional methods in an experiment of five healthy volunteers.

Results: The proposed method showed the accurate local field over the expanded brain region in the simulation studies. It also showed consistent QSM with conventional methods inside of the brain surface and showed clear vein structures on the brain surface.

Conclusion: The proposed method enables accurate calculation of whole brain QSM without eroding the brain surface region while maintaining same values inside of the brain surface as the conventional methods.

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全脑定量易感性映射的局部球面谐波近似背景场去除的区域扩展。
目的:定量易感性图谱(QSM)有助于获得生物学信息。为了计算易感性分布,有必要计算由组织之间的易感性差异引起的局部场。局部场可以通过从MR相位图像获取的总场中去除背景场来获得。广泛用于背景场计算的基于球面平均值(SMV)滤波的传统方法无法计算与SMV核的半径相对应的脑表面区域的背景场,因此无法计算脑表面区的QSM。因此,提出了一种通过扩展去除背景场来计算全脑QSM局部场的新方法。方法:该方法由两个步骤组成。首先,使用球面谐波的局部多项式近似从总场计算大脑表面的背景场。其次,利用脑表面背景场的约束项,通过SMV滤波计算全脑局部场。通过使用数字体模和测量的人脑进行模拟,对近似的参数进行了优化,以减少计算误差。在五名健康志愿者的实验中,将所提出的具有优化参数的方法的性能与传统方法进行了定量和视觉比较。结果:在模拟研究中,所提出的方法在扩展的大脑区域上显示了准确的局部场。它在大脑表面内部也显示出与传统方法一致的QSM,并在大脑表面显示出清晰的静脉结构。结论:该方法能够在不侵蚀脑表面区域的情况下准确计算全脑QSM,同时保持与传统方法相同的脑表面内部值。
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来源期刊
ACS Applied Bio Materials
ACS Applied Bio Materials Chemistry-Chemistry (all)
CiteScore
9.40
自引率
2.10%
发文量
464
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