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Related Experiment Video

Updated: Mar 5, 2026

Technical Approach for Infrared Tracking for Soft Tissue Navigation with a Holographic Head-Mounted Display and Preclinical Validation
10:25

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Android application for determining surgical variables in brain-tumor resection procedures.

Rohan C Vijayan1, Reid C Thompson2, Lola B Chambless2

  • 1Vanderbilt University , Department of Biomedical Engineering, Nashville, Tennessee, United States.

Journal of Medical Imaging (Bellingham, Wash.)
|March 24, 2017
PubMed
Summary

A new Android application simplifies surgical planning for brain tumor removal by allowing surgeons to virtually map procedures. This tool accurately predicts surgical variables, improving image-guided neurosurgery despite brain shift.

Keywords:
Android applicationbrain shiftfinite elementimage guidanceimage-guided surgeryneurosurgerypreoperative planningresectionsoft tissuetumorworkflow

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Area of Science:

  • Neurosurgery
  • Medical Imaging
  • Biomechanical Engineering

Background:

  • Neurosurgical procedure fidelity is challenged by intraoperative mechanical deformations, known as brain shift.
  • Existing frameworks predict brain shift using preoperatively determined surgical variables to correct patient imaging.
  • Acquiring these surgical variables preoperatively presents a clinical workflow challenge.

Purpose of the Study:

  • To develop a simplified and expedited method for acquiring surgical variables for brain shift correction.
  • To introduce an Android application enabling neurosurgeons to plan surgical parameters using 3D neuroanatomical models.

Main Methods:

  • An Android, Java-based application was developed for tablets.
  • The application allows neurosurgeons to manipulate 3D neuroanatomy models to determine head orientation, craniotomy details, and tumor trajectory.
  • These planned variables are exported for input into a biomechanical model for brain shift correction.

Main Results:

  • A mock trial involving multiple surgeons and cases compared the virtual planning accuracy against mock physical surgery.
  • The Android application demonstrated accuracy in determining essential surgical variables.
  • The planning process using the application was found to be efficient and timely.

Conclusions:

  • The developed Android application provides an accurate, efficient, and timely method for neurosurgical planning.
  • This tool simplifies the acquisition of critical surgical variables, addressing a key challenge in brain shift correction frameworks.
  • The application enhances the usability of image-guided neurosurgery by facilitating better preoperative planning.