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collapsed cone convolution superposition algorithm  (Mobius Medical)

 
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    Mobius Medical collapsed cone convolution superposition algorithm
    Collapsed Cone Convolution Superposition Algorithm, supplied by Mobius Medical, 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+superposition/collapsed+cone+c+s+method/pm37775989-256-29-34
    Average 90 stars, based on 1 article reviews
    collapsed cone convolution superposition algorithm - by Bioz Stars, 2026-11
    90/100 stars

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    Article Title: Investigation of various energy deposition kernel refinements for the convolution/superposition method
    Article Snippet: In order to investigate the dosimetric impact of implementing spatially variant polyenergetic kernels in the C/S method, depth dose curves for our clinical 6 MV photon beam were calculated using two different implementations of the collapsed cone C/S method (Mobius Medical Systems, Houston, TX): 20 one using a single polyenergetic kernel reflecting the surface spectrum (“single kernel” method) and one that represents the ideal case where all the spectral changes of the photon beam are fully taken into account.

    Article Title: A comprehensive evaluation of advanced dose calculation algorithms for brain stereotactic radiosurgery
    Article Snippet: One recent study found that refinement of MLC modeling helps improve the gamma passing rates between AAA SRS/SBRT plans and their log‐file‐based patient‐specific quality assurance (QA) recalculation using a collapsed cone convolution superposition algorithm (Mobius Medical System, Houston, TX, USA).

    Article Title: SU-E-P-24: Essential Parameters of the IORT Electron Beam Must Be Revised
    Article Snippet: s from the journal Medical Physics from January 1994 February 2013.

    Article Title: 2013 AAPM Annual Meeting Program
    Article Snippet: s from the journal Medical Physics from January 1994 February 2013.

    Article Title: 55th ANNUAL MEETING AND EXHIBITION
    Article Snippet: REVIEWERS W. Abdel-Rahman, J. Adamovics, J. Adamson, N. Agazaryan, S. Ahmad, A. Ahnesjo, H. Al-Hallaq, P. Alaei, A. Alessio, M. Alshanqity, A. Altman, H. Amols, M. Andre, K. Andriole, W. Ansbacher, J. Antolak, L. Archambault, S. Armato, B. Arnold, S. Avery, B. Aydogan, A. Badal, D. Bakalyar, M. Bakhtiari, P. Bakic, P. Balter, L. Beaulieu, R. Behrman, R. Bell, C. Beltran, E. Bender, S. Benedict, R. Berbeco, C. Bloch, W. Bolch, E. Boote, T. Bortfeld, S. Both, J.D.. Bourland, S. Brady, S. Breen, K. Brock, K. Brown, S. Brown, C. Burman, J. Burmeister, W. Butler, J. Cai, Y. Cao, D. Carlson, C. Cavedon, K. Chakrabarti, H.-P. Chan, M. Chan, J. Chang, S. Chang, Z. Chang, E. Chao, G. Chen, H. Chen, L. Chen, M. Chen, Q. Chen, T. Chen, Y. Chen, Z. Chen, K.-H. Cheong, I. Chetty, S. Cho, S. Cho, Y.-B.. Cho, J. Chu, G. Clarke, J. Clements, D. Cody, G. Compagnone, C. Coolens, A. Corrao, L. Court, O. Craciunescu, I. Cunningham, B. Curran, W. D'Souza, M. Dahlbom, M. Danielsson, I. Das, L. Dauer, H. De las Heras, C. De Wagter, J. Deasy, J. DeMarco, L. DeWerd, C. Diederich, S. Dieterich, G. Ding, T. Djemil, J. Dobbins, L. Dong, K. Doxsee, P. Dunscombe, I. El Naqa, W. Erwin, C. Esquivel, P. Esser, J. Esthappan, G. Ezzell, B. Faddegon, R. Fahrig, K. Farahani, J. Farr, W. Feng, Y. Feng, A. Fenster, V. Feygelman, J. Flanz, T. Flohr, M. Flynn, R. Flynn, A. Fogliata-Cozzi, D. Followill, J. Fontenot, E. Ford, R. Foster, J.B. Fowlkes, M. Fox, T. Fox, B. Fraass, T. Funk, E. Furhang, K. Ganezer, A. Ganguly, S. Gao, J. Garcia Ramirez, O. Gayou, W. Geiser, J. Geleijns, J. Gibbons, M. Giger, J. Gilio, D. Gilley, M. Gillin, E. Gingold, S. Glick, S. Goddu, J. Goodwin, J. Gordon, R. Gould, D. Granero, E. Graves, M. Guerrero, S. Hadley, P. Halvorsen, R. Hammoud, J. Harper, M. Herman, J. Hiatt, D. Hintenlang, L. Hong, R. Howell, R. Howell, D. Hristov, J. Hsieh, A. Hsu, Y. Hu, Z. Huang, G. Hugo, S. Hui, J. Humm, M. Hunt, M. S. Huq, C. Hurkmans, G. Ibbott, E. Izaguirre, E. Jackson, D. Jaffray, S. Jani, K. Jee, R. Jeraj, X. Jia, S. Jiang, Y. Jiang, J.-Y.

    Article Title: Investigation of various energy deposition kernel refinements for the convolution/superposition method
    Article Snippet: 1 , with the density-scaled distance ρ mat ∗ d used in place of the physical distance d . Investigation of dosimetric impact of kernel hardening and material-specific kernels In order to investigate the dosimetric impact of implementing spatially variant polyenergetic kernels in the C/S method, depth dose curves for our clinical 6 MV photon beam were calculated using two different implementations of the collapsed cone C/S method (Mobius Medical Systems, Houston, TX): 20 one using a single polyenergetic kernel reflecting the surface spectrum (“single kernel” method) and one that represents the ideal case where all the spectral changes of the photon beam are fully taken into account.

    Article Title: WE-G-134-05: Acceleration of Monte Carlo CBCT Scatter-Projection Estimates Via Importance Sampling-Based Weight Windowing
    Article Snippet: s from the journal Medical Physics from January 1994 February 2013.

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    Article Title: A comprehensive evaluation of advanced dose calculation algorithms for brain stereotactic radiosurgery.
    Article Snippet: .. One recent study found that refinement of MLC modeling helps improve the gamma passing rates between AAA SRS/SBRT plans and their log-file-based patient-specific quality assurance (QA) recalculation using a collapsed cone convolution superposition algorithm (Mobius Medical System, Houston, TX, USA).35 In that investigation, the MLC modeling parameters of the QA software were refined, and good agreement between the two Type-B algorithms (<3%) was attainable for MLC fields bigger than 2 cm × 2 cm. ..



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