Literature DB >> 9651953

Spatial compounding in 3D imaging of limbs.

P He1.   

Abstract

Effects of spatial compounding on image resolution and speckle noise are studied. Using computer simulation, it is shown that spatial compounding using averaged reconstruction can significantly improve lateral resolution while slightly deteriorate axial resolution. The amount of net resolution improvement depends mainly on the compound angle, but is insensitive to the number of component images used in compounding. While the fact that spatial compounding can effectively reduce speckle noise is well known, the analysis in this paper indicates that to maximize speckle reduction, the component echo amplitudes must meet two conditions: to be mutually independent and to have the same mean power. These findings provide useful guidelines for the analysis and optimization of the performance of an ultrasound scanning system that has been specially developed for imaging residual limbs.

Mesh:

Year:  1997        PMID: 9651953     DOI: 10.1177/016173469701900402

Source DB:  PubMed          Journal:  Ultrason Imaging        ISSN: 0161-7346            Impact factor:   1.578


  4 in total

1.  Improvements in elastographic contrast-to-noise ratio using spatial-angular compounding.

Authors:  Udomchai Techavipoo; Tomy Varghese
Journal:  Ultrasound Med Biol       Date:  2005-04       Impact factor: 2.998

2.  Spatial angular compounding for elastography without the incompressibility assumption.

Authors:  Min Rao; Tomy Varghese
Journal:  Ultrason Imaging       Date:  2005-10       Impact factor: 1.578

3.  Spatial-angular compounding for elastography using beam steering on linear array transducers.

Authors:  Min Rao; Quan Chen; Hairong Shi; Tomy Varghese
Journal:  Med Phys       Date:  2006-03       Impact factor: 4.071

4.  Global Patch Matching (GPM) for freehand 3D ultrasound reconstruction.

Authors:  Weijian Cong; Jian Yang; Danni Ai; Hong Song; Gang Chen; Xiaohui Liang; Ping Liang; Yongtian Wang
Journal:  Biomed Eng Online       Date:  2017-10-30       Impact factor: 2.819

  4 in total

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