2017
DOI: 10.1002/jum.14465
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Noninvasive Prediction of Renal Stone Surface Irregularities by Numerical Analysis of the Color Doppler Twinkling Artifact: An Ex Vivo Study

Abstract: It was possible to predict the core roughness of renal stones using the proposed method and the twinkling artifact data acquired from the color Doppler images ex vivo.

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Cited by 3 publications
(2 citation statements)
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References 46 publications
(97 reference statements)
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“…В качестве причин ложноположительных случаев выявления АМ отмечены нефрокальциноз и кальцификация сосудов [63]. Ряд ра-бот основан на попытке учитывать интенсивность АМ для предположения о структуре конкремента и его химическом составе [67][68][69][70].…”
Section: определение возможностей использования артефакта мерцания дл...unclassified
“…В качестве причин ложноположительных случаев выявления АМ отмечены нефрокальциноз и кальцификация сосудов [63]. Ряд ра-бот основан на попытке учитывать интенсивность АМ для предположения о структуре конкремента и его химическом составе [67][68][69][70].…”
Section: определение возможностей использования артефакта мерцания дл...unclassified
“…Currently, there are no standards for optimizing ultrasound twinkling parameters or quantifying the twinkling signature in the clinical setting, and this is mainly because the mechanistic causes of ultrasound twinkling remain elusive. Surface roughness or irregularities and internal porosity of complicated objects have been described as contributors to the twinkling signature hypothesized to reflect phase-shift phenomena that arise in ultrasound wave propagation, interactions with bubbles or during cavitation [3][4][5][6][7][8]. In recent years, using fiducials detectable by ultrasound twinkling [9,10] has gained some translation into the clinical setting despite not fully understanding the physics of twinkling or how to optimize the scanning parameters for generating twinkling.…”
Section: Introductionmentioning
confidence: 99%