Background field removal technique using regularization enabled sophisticated harmonic artifact reduction for phase data with varying kernel sizes

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• 作者：Hirohito Kan ; ^{h.kan1208@gmail.com" class="auth_mail" title="E-mail the corresponding author} ; Harumasa Kasai¹ ; ^{hhkasai@gmail.com" class="auth_mail" title="E-mail the corresponding author} ; Nobuyuki Arai¹ ; ^{rarai51@med.nagoya-cu.ac.jp" class="auth_mail" title="E-mail the corresponding author} ; Hiroshi Kunitomo¹ ; ^{rakunny@med.nagoya-cu.ac.jp" class="auth_mail" title="E-mail the corresponding author} ; Yasujiro Hirose¹ ; ^{rahirose@med.nagoya-cu.ac.jp" class="auth_mail" title="E-mail the corresponding author} ; Yuta Shibamoto¹ ; ^{yshiba@med.nagoya-cu.ac.jp" class="auth_mail" title="E-mail the corresponding author}
• 关键词：QSM ; Quantitative susceptibility mapping ; SWI ; Susceptibility weighted imaging ; PDF ; Projection onto dipole fields ; SHARP ; Sophisticated harmonic artifact reduction for phase data ; VOI ; Volume of interest ; SMV ; Spherical mean value ; TSVD ; Truncated singular value decomposition ; VSHARP ; Sophisticated harmonic artifact reduction for phase data with varying kernel sizes ; RESHARP ; Regularization enabled sophisticated harmonic artifact reduction for phase data ; BET ; Brain extraction tool ; REV-SHARP
• 刊名：Magnetic Resonance Imaging
• 出版年：2016
• 出版时间：September 2016
• 年：2016
• 卷：34
• 期：7
• 页码：1026-1033
• 全文大小：1369 K

文摘

An effective background field removal technique is desired for more accurate quantitative susceptibility mapping (QSM) prior to dipole inversion. The aim of this study was to evaluate the accuracy of regularization enabled sophisticated harmonic artifact reduction for phase data with varying spherical kernel sizes (REV-SHARP) method using a three-dimensional head phantom and human brain data. The proposed REV-SHARP method used the spherical mean value operation and Tikhonov regularization in the deconvolution process, with varying 2–14 mm kernel sizes. The kernel sizes were gradually reduced, similar to the SHARP with varying spherical kernel (VSHARP) method. We determined the relative errors and relationships between the true local field and estimated local field in REV-SHARP, VSHARP, projection onto dipole fields (PDF), and regularization enabled SHARP (RESHARP). Human experiment was also conducted using REV-SHARP, VSHARP, PDF, and RESHARP. The relative errors in the numerical phantom study were 0.386, 0.448, 0.838, and 0.452 for REV-SHARP, VSHARP, PDF, and RESHARP. REV-SHARP result exhibited the highest correlation between the true local field and estimated local field. The linear regression slopes were 1.005, 1.124, 0.988, and 0.536 for REV-SHARP, VSHARP, PDF, and RESHARP in regions of interest on the three-dimensional head phantom. In human experiments, no obvious errors due to artifacts were present in REV-SHARP. The proposed REV-SHARP is a new method combined with variable spherical kernel size and Tikhonov regularization. This technique might make it possible to be more accurate backgroud field removal and help to achive better accuracy of QSM.