@article{Pinter2020,

title = {SlicerVR for Medical Intervention Training and Planning in Immersive Virtual Reality},

author = {Csaba Pinter and Andras Lasso and Saleh Choueib and Mark Asselin and Jean-ChristopheC. Fillion-Robin and Jean-Baptiste Vimort and Ken Martin and MatthewA Jolley and Gabor Fichtinger},

url = {https://labs.cs.queensu.ca/perklab/wp-content/uploads/sites/3/2024/03/Pinter2020a_0.pdf},

doi = {10.1109/TMRB.2020.2983199},

year  = {2020},

date = {2020-03-01},

urldate = {2020-03-01},

journal = {IEEE Transactions on Medical Robotics and Bionics},

volume = {2},

number = {2},

pages = {108-117},

abstract = {<p>Virtual reality (VR) provides immersive visualization that has proved to be useful in a variety of medical applications. Currently, however, no free open-source software platform exists that would provide comprehensive support for translational clinical researchers in prototyping experimental VR scenarios in training, planning or guiding medical interventions. By integrating VR functions in 3D Slicer, an established medical image analysis and visualization platform, SlicerVR enables virtual reality experience by a single click. It provides functions to navigate and manipulate the virtual scene, as well as various settings to abate the feeling of motion sickness. SlicerVR allows for shared collaborative VR experience both locally and remotely. We present illustrative scenarios created with SlicerVR in a wide spectrum of applications, including echocardiography, neurosurgery, spine surgery, brachytherapy, intervention training and personalized patient education. SlicerVR is freely available under BSD type license as an extension to 3D Slicer and it has been downloaded over 7,800 times at the time of writing this article.</p>},

keywords = {},

pubstate = {published},

tppubtype = {article}

}

@article{fichtinger2020,

title = {SlicerVR for medical intervention training and planning in immersive virtual reality},

author = {Csaba Pinter and Andras Lasso and Saleh Choueib and Mark Asselin and Jean-Christophe Fillion-Robin and Jean-Baptiste Vimort and Ken Martin and Matthew A Jolley and Gabor Fichtinger},

url = {https://ieeexplore.ieee.org/abstract/document/9047949/},

year  = {2020},

date = {2020-01-01},

journal = {IEEE transactions on medical robotics and bionics},

volume = {2},

issue = {2},

pages = {108-117},

publisher = {IEEE},

abstract = {Virtual reality (VR) provides immersive visualization that has proved to be useful in a variety of medical applications. Currently, however, no free open-source software platform exists that would provide comprehensive support for translational clinical researchers in prototyping experimental VR scenarios in training, planning or guiding medical interventions. By integrating VR functions in 3D Slicer, an established medical image analysis and visualization platform, SlicerVR enables virtual reality experience by a single click. It provides functions to navigate and manipulate the virtual scene, as well as various settings to abate the feeling of motion sickness. SlicerVR allows for shared collaborative VR experience both locally and remotely. We present illustrative scenarios created with SlicerVR in a wide spectrum of applications, including echocardiography, neurosurgery, spine surgery, brachytherapy, intervention …},

keywords = {},

pubstate = {published},

tppubtype = {article}

}

@article{fichtinger2020m,

title = {Assessment of skill translation of intrathecal needle insertion using real-time needle tracking with an augmented reality display},

author = {Saleh Choueib and Ciara McGarry and Melanie Jaeger and Tamas Ungi and Natasja Janssen and Gabor Fichtinger and Lindsey Patterson},

url = {https://www.spiedigitallibrary.org/conference-proceedings-of-spie/11315/113152A/Assessment-of-skill-translation-of-intrathecal-needle-insertion-using-real/10.1117/12.2549663.short},

year  = {2020},

date = {2020-01-01},

volume = {11315},

pages = {592-598},

publisher = {SPIE},

abstract = {PURPOSE 

Current lumbar puncture simulators lack visual feedback of the needle path. We propose a lumbar puncture simulator that introduces a visual virtual reality feedback to enhance the learning experience. This method incorporates virtual reality and a position tracking system. We aim to assess the advantages of the stereoscopy of virtual reality (VR) on needle insertion skills learning. 

METHODS 

We scanned and rendered spine models into three-dimensional (3D) virtual models to be used in the lumbar puncture simulator. The motion of the needle was tracked relative to the spine model in real-time using electromagnetic tracking, which allows accurate replay of the needle insertion path. Using 3D Slicer and SlicerVR, we created a virtual environment with the tracked needle and spine. In this study, 23 medical students performed a traditional lumbar puncture procedure using the augmented simulator. The …},

keywords = {},

pubstate = {published},

tppubtype = {article}

}

@article{fichtinger2019f,

title = {Evaluation of 3D slicer as a medical virtual reality visualization platform},

author = {Saleh Choueib and Csaba Pinter and Andras Lasso and Jean-Christophe Fillion-Robin and Jean-Batiste Vimort and Ken Martin and Gabor Fichtinger},

url = {https://www.spiedigitallibrary.org/conference-proceedings-of-spie/10951/1095113/Evaluation-of-3D-slicer-as-a-medical-virtual-reality-visualization/10.1117/12.2513053.short},

year  = {2019},

date = {2019-01-01},

volume = {10951},

pages = {279-286},

publisher = {SPIE},

abstract = {PURPOSE 

There is a lack of open-source or free virtual reality (VR) software that can be utilized for research by medical professionals and researchers. We propose the design and implementation of such software. We also aim to assess the feasibility of using VR as a modality for navigating 3D visualizations of medical scenes. 

METHODS 

To achieve our goal, we added VR capabilities to the open-source medical image analysis and visualization platform, 3D Slicer. We designed the VR extension by basing the software architecture on VTK’s vtkRenderingOpenVR software module. We extended this module by adding features such as full interactivity between 3D Slicer and the VR extension during VR use, variable volume rendering quality based on user headset motion etc. Furthermore, the VR extension was tested in a feasibility study in which participants were asked to complete specific tasks using bot the …},

keywords = {},

pubstate = {published},

tppubtype = {article}

}