2015
DOI: 10.1109/tuffc.2015.007027
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Experimental validation of a convolution- based ultrasound image formation model using a planar arrangement of micrometer-scale scatterers

Abstract: The shift-invariant convolution model of ultrasound is widely used in the literature, for instance to generate fast simulations of ultrasound images. However, comparison of the resulting simulations with experiments is either qualitative or based on aggregate descriptors such as envelope statistics or spectral components. In the current work, a planar arrangement of 49-μm polystyrene microspheres was imaged using macrophotography and a 4.7-MHz ultrasound linear array. The macrophotograph allowed estimation of … Show more

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Cited by 6 publications
(4 citation statements)
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References 29 publications
(32 reference statements)
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“…Previous work has shown that a collection of polystyrene microspheres aligned on a planar surface may be used to investigate the validity of the shift-invariant convolution model [8]. This in turn may be used to assess the performance of image restoration methods.…”
Section: B Validation Of Image Restorationmentioning
confidence: 99%
See 1 more Smart Citation
“…Previous work has shown that a collection of polystyrene microspheres aligned on a planar surface may be used to investigate the validity of the shift-invariant convolution model [8]. This in turn may be used to assess the performance of image restoration methods.…”
Section: B Validation Of Image Restorationmentioning
confidence: 99%
“…This in turn may be used to assess the performance of image restoration methods. However, the method in [8] is limited as it does not allow precise positioning of the microspheres. Alternate possibilities are laser printing and transfer of patterns onto a phantom surface [9] or printing of filaments using low-cost 3Dprinting technology [10].…”
Section: B Validation Of Image Restorationmentioning
confidence: 99%
“…The fields of application of the system span from vector Doppler investigations [8]- [12] to motion estimation [13]- [16], from nonlinear contrast imaging [17]- [19] to tissue characterization [20]- [22]. The system was also employed to develop innovative beamforming schemes to improve the image quality [23], [24] to compensate for the refraction induced by skull bone [25]- [27] as well as to validate novel ultrasound image formation models [14], [28].…”
Section: Introductionmentioning
confidence: 99%
“…, also making it possible to test new imaging modalities and beamforming techniques27,28,29,30,31,32,33 .…”
mentioning
confidence: 99%