Respiratory Motion Estimation from Cone-Beam Projections Using a Prior Model

被引:0
作者
Vandemeulebroucke, Jef [1 ,2 ,3 ]
Kybic, Jan [3 ]
Clarysse, Patrick [1 ]
Sarrut, David [1 ,2 ]
机构
[1] Univ Lyon, CREATIS LRMN, Lyon, France
[2] Univ Lyon, Leon Berard Cancer Ctr, F-69373 Lyon, France
[3] Prague Agr Univ, Ctr Machine Percept, Prague, Czech Republic
来源
MEDICAL IMAGE COMPUTING AND COMPUTER-ASSISTED INTERVENTION - MICCAI 2009, PT II, PROCEEDINGS | 2009年 / 5762卷
关键词
LUNG; CT; RADIOTHERAPY; REGISTRATION; VARIABILITY;
D O I
暂无
中图分类号
TP39 [计算机的应用];
学科分类号
081203 ; 0835 ;
摘要
Respiratory motion introduces uncertainties when planning and delivering radiotherapy for lung cancer patients. Cone-beam projections acquired in the treatment room could provide valuable information for building motion models, useful for gated treatment delivery or motion compensated reconstruction. We propose a method for estimating 3D+T respiratory motion from the 2D+T cone-beam projection sequence by including prior knowledge about the patient's breathing motion. Motion estimation is accomplished by maximizing the similarity of the projected view of a patient specific model to observed projections of the cone-beam sequence. This is done semi-globally, considering entire breathing cycles. Using realistic patient data, we show that the method is capable of good prediction of the internal patient motion from cone-beam data, even when confronted with interfractional changes in the breathing motion.
引用
收藏
页码:365 / +
页数:2
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