Using Kalman filter with Morphological Image Operation Tracking a Moving Target in Radiotherapy

被引：1
|
作者：
Lan, Jen-Hong [1 ]
Wang, Luke K. [1 ]
Chen, Ssu-Wei [1 ]
Lin, Shih-Yao [1 ]
Lee, Tsair-Fwu [1 ]
机构：
[1] Natl Kaohsiung Univ Appl Sci, Dept Elect Engn, Kaohsiung 807, Taiwan
来源：
2012 SIXTH INTERNATIONAL CONFERENCE ON GENETIC AND EVOLUTIONARY COMPUTING (ICGEC) | 2012年
关键词：
component; Kalman filter; respiration; object tracking; radiotherapy;
D O I：
10.1109/ICGEC.2012.149
中图分类号：
TP301 [理论、方法];
学科分类号：
081202 ;
摘要：
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.
引用
收藏
页码：219 / 222
页数：4
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