Literature DB >> 16404075

Second generation haptic ventriculostomy simulator using the ImmersiveTouch system.

Cristian Luciano1, Pat Banerjee, G Michael Lemole, Fady Charbel.   

Abstract

Ventriculostomy is a neurosurgical procedure that consists of the insertion of a catheter into the ventricles of the brain for relieving the intracranial pressure. A distinct "popping" sensation is felt as the catheter enters the ventricles. Early ventriculostomy simulators provided some basic audio/visual feedback to simulate the procedure, displaying a 3D virtual model of a human head. Without any tactile feedback, the usefulness of such simulators was very limited. The first generation haptic ventriculostomy simulators incorporated a haptic device to generate a virtual resistance and "give" upon ventricular entry. While this created considerable excitement as a novelty device for cannulating ventricles, its usefulness for teaching and measuring neurosurgical expertise was still very limited. Poor collocation between the haptic device stylus held by the surgeon and the visual representation of the virtual catheter, as well as the lack of a correct viewer-centered perspective, created enormous confusion for the neurosurgeons who diverted their attention from the actual ventriculostomy procedure to overcoming the limitations of the simulator. We present a second generation haptic ventriculostomy simulator succeeding over the major first generation limitations by introducing a head and hand tracking system as well as a high-resolution high-visual-acuity stereoscopic display to enhance the perception and realism of the virtual ventriculostomy.

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Mesh:

Year:  2006        PMID: 16404075

Source DB:  PubMed          Journal:  Stud Health Technol Inform        ISSN: 0926-9630


  7 in total

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Journal:  Childs Nerv Syst       Date:  2013-05-24       Impact factor: 1.475

2.  A Semi-automated Approach to Improve the Efficiency of Medical Imaging Segmentation for Haptic Rendering.

Authors:  Pat Banerjee; Mengqi Hu; Rahul Kannan; Srinivasan Krishnaswamy
Journal:  J Digit Imaging       Date:  2017-08       Impact factor: 4.056

3.  Role of cranial and spinal virtual and augmented reality simulation using immersive touch modules in neurosurgical training.

Authors:  Ali Alaraj; Fady T Charbel; Daniel Birk; Matthew Tobin; Mathew Tobin; Cristian Luciano; Pat P Banerjee; Silvio Rizzi; Jeff Sorenson; Kevin Foley; Konstantin Slavin; Ben Roitberg
Journal:  Neurosurgery       Date:  2013-01       Impact factor: 4.654

4.  Neurosurgical virtual reality simulation metrics to assess psychomotor skills during brain tumor resection.

Authors:  Hamed Azarnoush; Gmaan Alzhrani; Alexander Winkler-Schwartz; Fahad Alotaibi; Nicholas Gelinas-Phaneuf; Valérie Pazos; Nusrat Choudhury; Jawad Fares; Robert DiRaddo; Rolando F Del Maestro
Journal:  Int J Comput Assist Radiol Surg       Date:  2014-06-27       Impact factor: 2.924

5.  Virtual reality training in neurosurgery: Review of current status and future applications.

Authors:  Ali Alaraj; Michael G Lemole; Joshua H Finkle; Rachel Yudkowsky; Adam Wallace; Cristian Luciano; P Pat Banerjee; Silvio H Rizzi; Fady T Charbel
Journal:  Surg Neurol Int       Date:  2011-04-28

6.  Evaluation of a novel phantom-based neurosurgical training system.

Authors:  Andrea Müns; Jürgen Meixensberger; Dirk Lindner
Journal:  Surg Neurol Int       Date:  2014-12-06

7.  Assessing performance of augmented reality-based neurosurgical training.

Authors:  Wei-Xin Si; Xiang-Yun Liao; Yin-Ling Qian; Hai-Tao Sun; Xiang-Dong Chen; Qiong Wang; Pheng Ann Heng
Journal:  Vis Comput Ind Biomed Art       Date:  2019-07-03
  7 in total

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