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EMTLAB: A Toolbox for the Analysis of Electromagnetic Tracking Data in Brachytherapy

Goetz, Th. I., Herzberger, F., Tome, A. M., Hensel, B. and Lang, Elmar W. (2017) EMTLAB: A Toolbox for the Analysis of Electromagnetic Tracking Data in Brachytherapy. Advances in Applied Science Research 8 (4), pp. 40-61.

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Date of publication of this fulltext: 25 Jan 2018 09:51

Other URL: http://www.imedpub.com/abstract/emtlab-a-toolbox-for-the-analysis-of-electromagnetic-tracking-data-in-brachytherapy-21477.html


Background: High dose rate brachytherapy (HDR-BT) of female breast cancer patients relies on electromagnetic tracking (EMT) for localizing the prescribed dwell positions of the radiation source. A collection of machine learning techniques like Particle Filtering (PF), Singular Spectrum Analysis (SSA), Ensemble and Multivariate Empirical Mode Decomposition (EEMD/MEMD) represent powerful signal ...


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Item type:Article
Date:8 December 2017
Institutions:Biology, Preclinical Medicine > Institut für Biophysik und physikalische Biochemie > Prof. Dr. Elmar Lang
Projects:Open Access Publizieren (DFG)
Keywords:Electromagnetic tracking, Particle filtering, Empirical mode decomposition, Singular spectrum analysis, Similarity measure
Dewey Decimal Classification:500 Science > 570 Life sciences
Refereed:Yes, this version has been refereed
Created at the University of Regensburg:Yes
Item ID:36575
Owner only: item control page


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