scholarly journals Investigation of interstitial ultrasound ablation of spinal and paraspinal tumors: A patient-specific and parametric simulation study

2017 ◽  
Author(s):  
Serena J. Scott ◽  
Vasant Salgaonkar ◽  
Punit Prakash ◽  
E. Clif Burdette ◽  
Chris J. Diederich
Keyword(s):  
Simulation Study ◽  
Patient Specific ◽  
Ultrasound Ablation ◽  
Interstitial Ultrasound

scholarly journals Interstitial ultrasound ablation of vertebral and paraspinal tumours: Parametric and patient-specific simulations

2014 ◽  
Vol 30 (4) ◽  
pp. 228-244 ◽  
Author(s):  
Serena J. Scott ◽  
Vasant Salgaonkar ◽  
Punit Prakash ◽  
E. Clif Burdette ◽  
Chris J. Diederich
Keyword(s):  
Patient Specific ◽  
Ultrasound Ablation ◽  
Interstitial Ultrasound

Simulation of Range Imaging-based Estimation of Respiratory Lung Motion

2014 ◽  
Vol 53 (04) ◽  
pp. 257-263 ◽  
Author(s):  
R. Werner ◽  
M. Blendowski ◽  
J. Ortmüller ◽  
H. Handels ◽  
M. Wilms
Keyword(s):  
Motion Estimation ◽  
Simulation Study ◽  
Respiratory Motion ◽  
Internal Motion ◽  
Estimation Accuracy ◽  
Patient Specific ◽  
Range Images ◽  
Motion Patterns ◽  
Multidimensional Signals ◽  
Lung Motion

SummaryObjectives: A major problem associated with the irradiation of thoracic and abdominal tumors is respiratory motion. In clinical practice, motion compensation approaches are frequently steered by low-dimensional breathing signals (e.g., spirometry) and patient-specific correspondence models, which are used to estimate the sought internal motion given a signal measurement. Recently, the use of multidimensional signals derived from range images of the moving skin surface has been proposed to better account for complex motion patterns. In this work, a simulation study is carried out to investigate the motion estimation accuracy of such multidimensional signals and the influence of noise, the signal dimensionality, and different sampling patterns (points, lines, regions).Methods: A diffeomorphic correspondence modeling framework is employed to relate multidimensional breathing signals derived from simulated range images to internal motion patterns represented by diffeomorphic non-linear transformations. Furthermore, an automatic approach for the selection of optimal signal combinations/patterns within this framework is presented.Results: This simulation study focuses on lung motion estimation and is based on 28 4D CT data sets. The results show that the use of multidimensional signals instead of one-dimensional signals significantly improves the motion estimation accuracy, which is, however, highly affected by noise. Only small differences exist between different multidimensional sampling patterns (lines and regions). Automatically determined optimal combinations of points and lines do not lead to accuracy improvements compared to results obtained by using all points or lines.Conclusions: Our results show the potential of multidimensional breathing signals derived from range images for the model-based estimation of respiratory motion in radiation therapy.

scholarly journals Investigation into Deep Brain Stimulation Lead Designs: A Patient-Specific Simulation Study

2016 ◽  
Vol 6 (3) ◽  
pp. 39 ◽  
Author(s):  
Fabiola Alonso ◽  
Malcolm Latorre ◽  
Nathanael Göransson ◽  
Peter Zsigmond ◽  
Karin Wårdell
Keyword(s):  
Deep Brain Stimulation ◽  
Brain Stimulation ◽  
Simulation Study ◽  
Patient Specific ◽  
Deep Brain

scholarly journals Approaches for modelling interstitial ultrasound ablation of tumours within or adjacent to bone: Theoretical and experimental evaluations

2013 ◽  
Vol 29 (7) ◽  
pp. 629-642 ◽  
Author(s):  
Serena J. Scott ◽  
Punit Prakash ◽  
Vasant Salgaonkar ◽  
Peter D. Jones ◽  
Richard N. Cam ◽  
...  
Keyword(s):  
Ultrasound Ablation ◽  
Interstitial Ultrasound
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