On the use of particle filters for electromagnetic tracking in high dose rate brachytherapy

Goetz, Th I. and Lahmer, G. and Brandt, T. and Kallis, K. and Strnad, V. and Bert, Ch and Hensel, B. and Tome, A. M. and Lang, E. W. (2017) On the use of particle filters for electromagnetic tracking in high dose rate brachytherapy. PHYSICS IN MEDICINE AND BIOLOGY, 62 (19). pp. 7617-7640. ISSN 0031-9155, 1361-6560

Full text not available from this repository. (Request a copy)

Abstract

Modern radiotherapy of female breast cancers often employs high dose rate brachytherapy, where a radioactive source is moved inside catheters, implanted in the female breast, according to a prescribed treatment plan. Source localization relative to the patient's anatomy is determined with solenoid sensors whose spatial positions are measured with an electromagnetic tracking system. Precise sensor dwell position determination is of utmost importance to assure irradiation of the cancerous tissue according to the treatment plan. We present a hybrid data analysis system which combines multi-dimensional scaling with particle filters to precisely determine sensor dwell positions in the catheters during subsequent radiation treatment sessions. Both techniques are complemented with empirical mode decomposition for the removal of superimposed breathing artifacts. We show that the hybrid model robustly and reliably determines the spatial positions of all catheters used during the treatment and precisely determines any deviations of actual sensor dwell positions from the treatment plan. The hybrid system only relies on sensor positions measured with an EMT system and relates them to the spatial positions of the implanted catheters as initially determined with a computed x-ray tomography.

Item Type: Article
Uncontrolled Keywords: SIMULTANEOUS LOCALIZATION; BREAST IRRADIATION; particle filter; brachytherapy; electromagnetic tracking
Subjects: 500 Science > 570 Life sciences
Divisions: Biology, Preclinical Medicine > Institut für Biophysik und physikalische Biochemie
Depositing User: Dr. Gernot Deinzer
Date Deposited: 14 Dec 2018 13:19
Last Modified: 28 Feb 2019 14:54
URI: https://pred.uni-regensburg.de/id/eprint/2019

Actions (login required)

View Item View Item