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