Neurosurgical Simulation by Interactive Computer Graphics on IPad

Overview

Journal Int J Comput Assist Radiol Surg

Publisher Springer

Specialties General Surgery
Radiology

Date 2014 Mar 22

PMID 24651972

Citations 3

Authors

Keisuke Maruyama

Taichi Kin

Toki Saito

Shinya Suematsu

Miho Gomyo

Akio Noguchi

Motoo Nagane

Yoshiaki Shiokawa

Affiliations

Soon will be listed here.

Abstract

Purpose: Presurgical simulation before complicated neurosurgery is a state-of-the-art technique, and its usefulness has recently become well known. However, simulation requires complex image processing, which hinders its widespread application. We explored handling the results of interactive computer graphics on the iPad tablet, which can easily be controlled anywhere.

Methods: Data from preneurosurgical simulations from 12 patients (4 men, 8 women) who underwent complex brain surgery were loaded onto an iPad. First, DICOM data were loaded using Amira visualization software to create interactive computer graphics, and ParaView, another free visualization software package, was used to convert the results of the simulation to be loaded using the free iPad software KiwiViewer.

Results: The interactive computer graphics created prior to neurosurgery were successfully displayed and smoothly controlled on the iPad in all patients. The number of elements ranged from 3 to 13 (mean 7). The mean original data size was 233 MB, which was reduced to 10.4 MB (4.4% of original size) after image processing by ParaView. This was increased to 46.6 MB (19.9%) after decompression in KiwiViewer. Controlling the magnification, transfer, rotation, and selection of translucence in 10 levels of each element were smoothly and easily performed using one or two fingers. The requisite skill to smoothly control the iPad software was acquired within 1.8 trials on average in 12 medical students and 6 neurosurgical residents.

Conclusions: Using an iPad to handle the result of preneurosurgical simulation was extremely useful because it could easily be handled anywhere.

Citing Articles

Reliability of diagnosing acute ischemic cerebrovascular on magnetic resonance imaging disorders using iPads.

Hattori H, Kuwayama Y, Inui Y, Murayama K, Hayakawa M, Ito S Jpn J Radiol. 2018; 36(12):726-735.

PMID: 30317411 DOI: 10.1007/s11604-018-0763-y.

Tablets for Image Review and Communication in Daily Routine of Orthopedic Surgeons-An Evaluation Study.

Vetter S, Schuler S, Hackbusch M, Muller M, Swartman B, Schnetzke M J Digit Imaging. 2017; 31(1):74-83.

PMID: 28799133 PMC: 5788817. DOI: 10.1007/s10278-017-0011-5.

Neurosurgical Virtual Reality Simulation for Brain Tumor Using High-definition Computer Graphics: A Review of the Literature.

Kin T, Nakatomi H, Shono N, Nomura S, Saito T, Oyama H Neurol Med Chir (Tokyo). 2017; 57(10):513-520.

PMID: 28637947 PMC: 5638778. DOI: 10.2176/nmc.ra.2016-0320.

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