<p>An open question was raised by Qi et al. (J Comput Appl Math 221:150–1571, 2008) in studying diffusion kurtosis imaging which involves a diffusion kurtosis tensor <InlineEquation ID="IEq1"> <InlineMediaObject> <ImageObject Color="BlackWhite" FileRef="10092_2025_656_Article_IEq1.gif" Format="GIF" Height="14" Rendition="HTML" Resolution="72" Type="Linedraw" Width="22" /> </InlineMediaObject> <EquationSource Format="TEX">\({\mathcal {W}}\)</EquationSource> <EquationSource Format="MATHML"><math> <mi mathvariant="script">W</mi> </math></EquationSource> </InlineEquation> and a diffusion tensor <i>D</i>. This open question focuses on the calculation of the D-eigenvalues of <InlineEquation ID="IEq2"> <InlineMediaObject> <ImageObject Color="BlackWhite" FileRef="10092_2025_656_Article_IEq1.gif" Format="GIF" Height="14" Rendition="HTML" Resolution="72" Type="Linedraw" Width="22" /> </InlineMediaObject> <EquationSource Format="TEX">\({\mathcal {W}}\)</EquationSource> <EquationSource Format="MATHML"><math> <mi mathvariant="script">W</mi> </math></EquationSource> </InlineEquation> and can be expressed as: How to compute the D-eigenvalues if <i>D</i> is not positive definite? In this paper, we partially answer this question: when <i>D</i> is positive semi-definite, by using the Moore–Penrose inverse of <i>D</i>, we propose a Z-eigenpair method to compute all D-eigenpairs of <InlineEquation ID="IEq3"> <InlineMediaObject> <ImageObject Color="BlackWhite" FileRef="10092_2025_656_Article_IEq1.gif" Format="GIF" Height="14" Rendition="HTML" Resolution="72" Type="Linedraw" Width="22" /> </InlineMediaObject> <EquationSource Format="TEX">\({\mathcal {W}}\)</EquationSource> <EquationSource Format="MATHML"><math> <mi mathvariant="script">W</mi> </math></EquationSource> </InlineEquation>. In addition, when <i>D</i> is positive definite, we also propose a Z-eigenpair method to compute all D-eigenpairs of <InlineEquation ID="IEq4"> <InlineMediaObject> <ImageObject Color="BlackWhite" FileRef="10092_2025_656_Article_IEq1.gif" Format="GIF" Height="14" Rendition="HTML" Resolution="72" Type="Linedraw" Width="22" /> </InlineMediaObject> <EquationSource Format="TEX">\({\mathcal {W}}\)</EquationSource> <EquationSource Format="MATHML"><math> <mi mathvariant="script">W</mi> </math></EquationSource> </InlineEquation>. Numerical examples show the correctness and effectiveness of our methods.</p>

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Moore–Penrose inverse-based methods for computing all D-eigenpairs of a diffusion kurtosis tensor

  • Xifu Liu,
  • Jianxing Zhao

摘要

An open question was raised by Qi et al. (J Comput Appl Math 221:150–1571, 2008) in studying diffusion kurtosis imaging which involves a diffusion kurtosis tensor \({\mathcal {W}}\) W and a diffusion tensor D. This open question focuses on the calculation of the D-eigenvalues of \({\mathcal {W}}\) W and can be expressed as: How to compute the D-eigenvalues if D is not positive definite? In this paper, we partially answer this question: when D is positive semi-definite, by using the Moore–Penrose inverse of D, we propose a Z-eigenpair method to compute all D-eigenpairs of \({\mathcal {W}}\) W . In addition, when D is positive definite, we also propose a Z-eigenpair method to compute all D-eigenpairs of \({\mathcal {W}}\) W . Numerical examples show the correctness and effectiveness of our methods.