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

页码：219 / 222

页数：4

共 7 条

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