Determination of lateral modulation apodization functions using a regularized, weighted least squares estimation.

Recently, work in this group has focused on the lateral cosine modulation method (LCM) which can be used for next-generation ultrasound (US) echo imaging and tissue displacement vector/strain tensor measurements (blood, soft tissues, etc.). For instance, in US echo imaging, a high lateral spatial re...

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Publicado en:International Journal of Biomedical Imaging pp. 7p - 8
Autor principal: Sumi C
Formato: equations & formulas pictorial research tables/charts Journal Article
Publicado: Wiley-Blackwell 2010
Acceso en línea:Ver este registro en EBSCOhost
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        16874188
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      jtl: International Journal of Biomedical Imaging
      issn: 16874188
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      dt: 2010
      pid: 480
      pub: Wiley-Blackwell
      place: Malden, Massachusetts
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        105205781
        2010660405
        10.1155/2010/635294
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        105205781
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        atl: Determination of lateral modulation apodization functions using a regularized, weighted least squares estimation.
      aug:
        au: Sumi C
        affil: Department of Information and Communication Sciences, Faculty of Science and Technology, Sophia University, 7-1 Kioi-Cho, Chiyoda-Ku, Tokyo 102-8554, Japan.
      sug:
        subj:
          Transducers
          Ultrasonography Methods
          Evaluation Research
          Human
          Image Processing, Computer Assisted
          Technology, Radiologic
      ab: Recently, work in this group has focused on the lateral cosine modulation method (LCM) which can be used for next-generation ultrasound (US) echo imaging and tissue displacement vector/strain tensor measurements (blood, soft tissues, etc.). For instance, in US echo imaging, a high lateral spatial resolution as well as a high axial spatial resolution can be obtained, and in tissue displacement vector measurements, accurate measurements of lateral tissue displacements as well as of axial tissue displacements can be realized. For an optimal determination of an apodization function for the LCM method, the regularized, weighted minimum-norm least squares (WMNLSs) estimation method is presented in this study. For designed Gaussian-type point spread functions (PSFs) with lateral modulation as an example, the regularized WMNLS estimation in simulations yields better approximations of the designed PSFs having wider lateral bandwidths than a Fraunhofer approximation and a singular-value decomposition (SVD). The usefulness of the regularized WMNLS estimation for the determination of apodization functions is demonstrated.
      pubtype: Academic Journal
      doctype:
        equations & formulas
        pictorial
        research
        tables/charts
        Journal Article
      ougenre: Article
    language: English
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