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collapsed cone (cc) convolution/superposition (cs) algorithm  (Philips Healthcare)

 
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    Philips Healthcare collapsed cone (cc) convolution/superposition (cs) algorithm
    Collapsed Cone (Cc) Convolution/Superposition (Cs) Algorithm, supplied by Philips Healthcare, used in various techniques. Bioz Stars score: 90/100, based on 1 PubMed citations. ZERO BIAS - scores, article reviews, protocol conditions and more
    https://www.bioz.com/product/collapsed+cone+convolution+algorithm+(cc)/collapsed+cone+convolution+superposition+algorithm/pm27782711-36-8-18
    Average 90 stars, based on 1 article reviews
    collapsed cone (cc) convolution/superposition (cs) algorithm - by Bioz Stars, 2026-11
    90/100 stars

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    other:

    Article Title: The effect of density variation on photon dose calculation and its impact on intensity modulated radiotherapy and stereotactic body radiotherapy.
    Article Snippet: Purpose: Inaccurate density information may introduce dose calculation errors when inhomogeneity correction is applied.. The aim of the present study was to examine the effect of density variation on photon dose calculation accuracy using the convolution/superposition (CS) algorithm with the focus on newer treatment technologies including intensity modulated radiotherapy, volumetric modulated arc radiotherapy, and stereotactic body radiotherapy (SBRT).. Methods: Calculations were first performed using simple inhomogeneity phantoms in order to determine clinically relevant tolerance levels for different tissue types.



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