Goetz, Th. I. and Lahmer, G. and Strnad, V. and Bert, Ch. and Hensel, B. and Tome, A. M. and Lang, E. W. (2017) A tool to automatically analyze electromagnetic tracking data from high dose rate brachytherapy of breast cancer patients. PLOS ONE, 12 (9): e0183608. ISSN 1932-6203,
Full text not available from this repository. (Request a copy)Abstract
During High Dose Rate Brachytherapy (HDR-BT) the spatial position of the radiation source inside catheters implanted into a female breast is determined via electromagnetic tracking (EMT). Dwell positions and dwell times of the radiation source are established, relative to the patient's anatomy, from an initial X-ray-CT-image. During the irradiation treatment, catheter displacements can occur due to patient movements. The current study develops an automatic analysis tool of EMT data sets recorded with a solenoid sensor to assure concordance of the source movement with the treatment plan. The tool combines machine learning techniques such as multi-dimensional scaling (MDS), ensemble empirical mode decomposition (EEMD), singular spectrum analysis (SSA) and particle filter (PF) to precisely detect and quantify any mismatch between the treatment plan and actual EMT measurements. We demonstrate that movement artifacts as well as technical signal distortions can be removed automatically and reliably, resulting in artifact-free reconstructed signals. This is a prerequisite for a highly accurate determination of any deviations of dwell positions from the treatment plan.
| Item Type: | Article |
|---|---|
| Uncontrolled Keywords: | EMPIRICAL MODE DECOMPOSITION; SINGULAR-SPECTRUM ANALYSIS; INTERSTITIAL BRACHYTHERAPY; SIMULTANEOUS LOCALIZATION; MUTUAL-INFORMATION; TIME-SERIES; DYNAMICS; IRRADIATION; PEARSONS; PROSTATE; |
| Subjects: | 500 Science > 570 Life sciences |
| Divisions: | Biology, Preclinical Medicine > Institut für Biophysik und physikalische Biochemie Biology, Preclinical Medicine > Institut für Biophysik und physikalische Biochemie > Prof. Dr. Elmar Lang |
| Depositing User: | Dr. Gernot Deinzer |
| Date Deposited: | 14 Dec 2018 13:15 |
| Last Modified: | 26 Feb 2019 11:13 |
| URI: | https://pred.uni-regensburg.de/id/eprint/1167 |
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