Modelling Prostate Gland Motion for Image-Guided Interventions
作者： Yipeng Hu , Dominic Morgan , Hashim Uddin Ahmed , Doug Pendsé , Mahua Sahu
DOI: 10.1007/978-3-540-70521-5_9
关键词:
摘要: A direct approach to using finite element analysis (FEA) predict organ motion typically requires accurate boundary conditions, which can be difficult measure during surgical interventions, and estimates of soft-tissue properties, vary significantly between patients. In this paper, we describe a method that combines FEA with statistical overcome these problems. We show how patient-specific, model (SMM) the prostate gland, generated from FE simulations, used displacement field over whole gland given sparse surface displacements. The was validated 3D transrectal ultrasound images prostates five patients, acquired before after expanding balloon covering probe. mean target registration error, calculated for anatomical landmarks within 1.9mm.
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