DocumentCode :
3282544
Title :
Using Kalman Filter with Morphological Image Operation Tracking a Moving Target in Radiotherapy
Author :
Jen-Hong Lan ; Wang, Luke K. ; Ssu-Wei Chen ; Shih-Yao Lin ; Tsair-Fwu Lee
Author_Institution :
Dept. of Electr. Eng., Nat. Kaohsiung Univ. of Appl. Sci., Kaohsiung, Taiwan
fYear :
2012
fDate :
25-28 Aug. 2012
Firstpage :
219
Lastpage :
222
Abstract :
Kalman filter using an operator formulation for a moving object in a sequence of images during the radiotherapy for tracking respiratory subject is presented. the algorithm of position processing with a high-accuracy position estimation technique produced real-time and fast position calculations. the position of a few pixels of the moving object because of position was measured successfully. the results suggest that quantitative assessments of the moving marker should be possible with Kalman filter.
Keywords :
Kalman filters; medical image processing; object tracking; pose estimation; radiation therapy; Kalman filter; high-accuracy position estimation technique; image sequence; morphological image operation tracking; moving object; moving target; position processing; radiotherapy; Colored noise; Image color analysis; Kalman filters; Mathematical model; Real-time systems; Streaming media; Target tracking; Kalman filter; object tracking; radiotherapy; respiration;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Genetic and Evolutionary Computing (ICGEC), 2012 Sixth International Conference on
Conference_Location :
Kitakushu
Print_ISBN :
978-1-4673-2138-9
Type :
conf
DOI :
10.1109/ICGEC.2012.149
Filename :
6457135
Link To Document :
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