2012
DOI: 10.1016/j.juro.2012.04.098
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Kidney Stone Volume Estimation from Computerized Tomography Images Using a Model Based Method of Correcting for the Point Spread Function

Abstract: Purpose We propose a method to improve the accuracy of volume estimation of kidney stones from computerized tomography images. Materials and Methods The proposed method consisted of 2 steps. A threshold equal to the average of the computerized tomography number of the object and the background was first applied to determine full width at half maximum volume. Correction factors were then applied, which were precalculated based on a model of a sphere and a 3-dimensional Gaussian point spread function. The poin… Show more

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Cited by 21 publications
(15 citation statements)
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References 27 publications
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“…Duan and associates were able to use computer threshold techniques to quantify stone volume and improve accuracy in stone sizing by up to 19.6%. 15 The algorithm we developed was to reduce the error in stone size, based on thresholding the grayscale intensity. The problem for any computerized model is that we must know the threshold parameter a priori.…”
Section: Discussionmentioning
confidence: 99%
“…Duan and associates were able to use computer threshold techniques to quantify stone volume and improve accuracy in stone sizing by up to 19.6%. 15 The algorithm we developed was to reduce the error in stone size, based on thresholding the grayscale intensity. The problem for any computerized model is that we must know the threshold parameter a priori.…”
Section: Discussionmentioning
confidence: 99%
“…Kidney stones were automatically segmented using previously-validated in-house software [15]. Metrics describing morphological, volumetric and dual energy features were automatically extracted.…”
Section: Methodsmentioning
confidence: 99%
“…We used a 3-dimensional CT reconstruction technique to calculate the volume of the treated stone with the triaxial ellipsoid volume formula: V = a × b × c × π ÷ 6 [6]. …”
Section: Methodsmentioning
confidence: 99%