Interactive development of a CT-based tissue model for ultrasound simulation

The objective of this study was to make an interactive method for development of a tissue model, based on anatomical information in computed tomography (CT) images, for use in an ultrasound simulator for training or surgical pre-planning. The method consisted of (1) comparison of true ultrasound B-mode images with corresponding ultrasound-like images, and (2) modification of tissue properties to decrease the difference between these images. Ultrasound-like images that reproduced many, but not all the properties of corresponding true ultrasound images were generated. The tissue model could be used for real-time simulation of ultrasound-like B-mode images on a moderately priced computer.

[1]  C Sohn,et al.  Ultrasound simulators: experience with the SonoTrainer and comparative review of other training systems , 2004, Ultrasound in obstetrics & gynecology : the official journal of the International Society of Ultrasound in Obstetrics and Gynecology.

[2]  T. D. Mast.  Empirical relationships between acoustic parameters in human soft tissues , 2000 .

[3]  H H Ehricke.  SONOSim3D: a multimedia system for sonography simulation and education with an extensible case database. , 1998, European journal of ultrasound : official journal of the European Federation of Societies for Ultrasound in Medicine and Biology.

[4]  Olivier Salvado,et al.  Ultrasound goes GPU: real-time simulation using CUDA , 2009, Medical Imaging.

[5]  T. Langø,et al.  Navigation in laparoscopy – prototype research platform for improved image‐guided surgery , 2008, Minimally invasive therapy & allied technologies : MITAT : official journal of the Society for Minimally Invasive Therapy.

[6]  Nassir Navab,et al.  Simulation and Fully Automatic Multimodal Registration of Medical Ultrasound , 2007, MICCAI.

[7]  Nassir Navab,et al.  Real-Time Simulation of Medical Ultrasound from CT Images , 2008, MICCAI.

[8]  J C Bamber,et al.  Ultrasonic B-scanning: a computer simulation , 1980, Physics in medicine and biology.

[9]  Jean-Louis Dillenseger,et al.  Fast simulation of ultrasound images from a CT volume , 2009, Comput. Biol. Medicine.

[10]  Daniel Cohen-Or,et al.  Real-Time Ultrasound Imaging Simulation , 1998, Real Time Imaging.

[11]  Franck Vidal,et al.  Simulation of ultrasound guided needle puncture using patient specific data with 3D textures and volume haptics , 2008 .

[12]  Alexandre Hostettler,et al.  Real-time ultrasonography simulator based on 3D CT-scan images. , 2005, Studies in health technology and informatics.

[13]  Toril A. Nagelhus Hernes,et al.  Real-time ultrasound simulation for low cost training simulators , 2010, Medical Imaging.

[14]  J. Meunier,et al.  Echographic image mean gray level changes with tissue dynamics: a system-based model study , 1995, IEEE Transactions on Biomedical Engineering.

[15]  Nassir Navab,et al.  Visualization and GPU-accelerated simulation of medical ultrasound from CT images , 2009, Comput. Methods Programs Biomed..

[16]  J. D'hooge,et al.  A fast convolution-based methodology to simulate 2-Dd/3-D cardiac ultrasound images , 2009, IEEE Transactions on Ultrasonics, Ferroelectrics and Frequency Control.

[17]  Orcun Goksel,et al.  B-Mode Ultrasound Image Simulation in Deformable 3-D Medium , 2009, IEEE Transactions on Medical Imaging.

[18]  J. Jensen,et al.  Calculation of pressure fields from arbitrarily shaped, apodized, and excited ultrasound transducers , 1992, IEEE Transactions on Ultrasonics, Ferroelectrics and Frequency Control.

[19]  T. Bortfeld,et al.  Correlation between CT numbers and tissue parameters needed for Monte Carlo simulations of clinical dose distributions. , 2000, Physics in medicine and biology.

[20]  Derek R. Magee,et al.  An augmented reality simulator for ultrasound guided needle placement training , 2007, Medical & Biological Engineering & Computing.

[21]  Geir Arne Tangen,et al.  Efficiency of ultrasound training simulators: Method for assessing image realism , 2010, Minimally invasive therapy & allied technologies : MITAT : official journal of the Society for Minimally Invasive Therapy.

[22]  K. Boone,et al.  Effect of skin impedance on image quality and variability in electrical impedance tomography: a model study , 1996, Medical and Biological Engineering and Computing.

[23]  T. Hergum,et al.  Fast ultrasound imaging simulation in K-space , 2009, IEEE Transactions on Ultrasonics, Ferroelectrics and Frequency Control.