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Type of publication: research article
Type of publication (PDB): Straipsnis konferencijos medžiagoje Clarivate Analytics Web of Science ar/ir Scopus / Article in Clarivate Analytics Web of Science or Scopus DB conference proceedings (P1a)
Field of Science: Informatika / Informatics (N009);Informatikos inžinerija / Informatics engineering (T007)
Author(s): Krilavičius, Tomas;Žliobaitė, Indrė;Simonavičius, Henrikas;Jaruševičius, Laimonas
Title: Predicting respiratory motion for real-time tumour tracking in radiotherapy
Is part of: CBMS 2016 : 29th IEEE international symposium on computer-based medical systems, Belfast, UK and Dublin, Ireland, June 20-24, 2016. New York : IEEE, 2016
Extent: p. 7-12
Date: 2016
Keywords: Radioterapija;Eksponentinis glotninimas;Kvėpavimo kompensavimas;Radiotherapy;Exponential smoothing;Respiratory motion compensation
ISBN: 9781467390361
Abstract: Radiation therapy is a local treatment aimed at killing cells in and around a tumor. Accurate predictions of lung tumor motion help to improve the precision of radiation treatment by controlling the position of a patient during radiation treatment. Our goal is to develop an algorithmic solution for predicting the position of a target in 3D in real time. In addition to prediction accuracy and low fluctuation of the prediction signal (jitter) we aim for minimum calibration time each patient at the beginning of the procedure. Our solution is based on a model form from the family of exponential smoothing. Performance is evaluated on clinical datasets capturing different behavior (quiet, talking, laughing), and validated in real-time on a prototype with respiratory motion imitation. Proposed solution (ExSmi) achieves good accuracy of prediction (error 4-9 mm/s) with tolerable jitter values (5-7 mm/s). The solution performs well to be prototyped and deployed in applications of radiotherapy
Affiliation(s): Baltijos pažangių technologijų institutas
LSMU Kauno klinikos
Rubedo sistemos
Taikomosios informatikos katedra
Vytauto Didžiojo universitetas
Appears in Collections:Universiteto mokslo publikacijos / University Research Publications

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