An accessible, hands-on tutorial system for image-guided therapy and medical robotics using a robot and open-source software

2007 ◽  
Author(s):  
Danielle Pace ◽  
Ron Kikinis ◽  
Nobuhiko Hata

This paper describes a new open-source tutorial for image-guided therapy (IGT) and medical robotics that is both accessible and hands-on using the LEGO Mindstorms NXT (a commercially available robotics kit) and 3D Slicer (an open-source application for medical image processing). The tutorial covers all stages of a typical IGT or medical robotics procedure, including the concepts of imaging, preoperative planning, targeting and tracking, navigation and registration, by using the LEGO robot to perform a “needle biopsy” on a phantom (anatomical model) made of traditional LEGO pieces. In addition, this paper describes a C++ library that allows direct control of a LEGO Mindstorms NXT robot from a Linux computer over a USB connection.

Author(s):  
Christian Askeland ◽  
Ole Vegard Solberg ◽  
Janne Beate Lervik Bakeng ◽  
Ingerid Reinertsen ◽  
Geir Arne Tangen ◽  
...  

2010 ◽  
Author(s):  
David Gobbi ◽  
Parvin Mousavi ◽  
Karen Li ◽  
Jing Xiang ◽  
Adam Campigotto ◽  
...  

We have created open-source Simulink block libraries for ITK and VTK that allow pipelines for these toolkits to be built in a visual, drag-and-drop style within MATLAB. Each block contains an instance of an ITK or VTK class. Any block connections and parameters that the user makes within MATLAB’s Simulink visual environment are converted into connections and parameters for the ITK and VTK pipelines. In addition, we provide conversion of images to and from MATLAB arrays to allow MATLAB image processing blocks to be mixed with ITK and VTK blocks. The code for our block libraries is generated automatically from XML descriptions of the inputs, outputs, and parameters of the ITK and VTK classes. We have used these block libraries to build some example pipelines and believe that they will be useful for developing applications in image analysis and image-guided therapy.


2017 ◽  
Author(s):  
Alireza Mehrtash ◽  
Mehran Pesteie ◽  
Jorden Hetherington ◽  
Peter A. Behringer ◽  
Tina Kapur ◽  
...  

2006 ◽  
Author(s):  
Peter Kazanzides

This paper describes the use of open source software in the development and testing of an image-guided robot system for small animal research, presented at MICCAI 2006. This system relied on a significant amount of open source software, including 3D Slicer, VTK, our own cisst software, the NetLib numerical methods, Python, and wxPython (which uses wxWidgets). In addition, several open source development tools were used, including CVS, CMake, and Swig. The paper will be accompanied by the source code and raw data that were used to obtain the results presented at MICCAI.


Author(s):  
Jonathan Shapey ◽  
Thomas Dowrick ◽  
Rémi Delaunay ◽  
Eleanor C. Mackle ◽  
Stephen Thompson ◽  
...  

Abstract Purpose Image-guided surgery (IGS) is an integral part of modern neuro-oncology surgery. Navigated ultrasound provides the surgeon with reconstructed views of ultrasound data, but no commercial system presently permits its integration with other essential non-imaging-based intraoperative monitoring modalities such as intraoperative neuromonitoring. Such a system would be particularly useful in skull base neurosurgery. Methods We established functional and technical requirements of an integrated multi-modality IGS system tailored for skull base surgery with the ability to incorporate: (1) preoperative MRI data and associated 3D volume reconstructions, (2) real-time intraoperative neurophysiological data and (3) live reconstructed 3D ultrasound. We created an open-source software platform to integrate with readily available commercial hardware. We tested the accuracy of the system’s ultrasound navigation and reconstruction using a polyvinyl alcohol phantom model and simulated the use of the complete navigation system in a clinical operating room using a patient-specific phantom model. Results Experimental validation of the system’s navigated ultrasound component demonstrated accuracy of $$<4.5\,\hbox {mm}$$ < 4.5 mm and a frame rate of 25 frames per second. Clinical simulation confirmed that system assembly was straightforward, could be achieved in a clinically acceptable time of $$<15\,\hbox {min}$$ < 15 min and performed with a clinically acceptable level of accuracy. Conclusion We present an integrated open-source research platform for multi-modality IGS. The present prototype system was tailored for neurosurgery and met all minimum design requirements focused on skull base surgery. Future work aims to optimise the system further by addressing the remaining target requirements.


Brachytherapy ◽  
2015 ◽  
Vol 14 (6) ◽  
pp. 910-912 ◽  
Author(s):  
Christian Kirisits ◽  
Maximilian P. Schmid ◽  
Sushil Beriwal ◽  
Richard Pötter

Author(s):  
Tina Kapur ◽  
Jan Egger ◽  
Jagadeesan Jayender ◽  
Matthew Toews ◽  
William M. Wells

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