dc.contributor.advisor | Sætrom, Pål | |
dc.contributor.advisor | Lindseth, Frank | |
dc.contributor.author | Lislebø, Even | |
dc.contributor.author | Bjørnstad, Halvor G | |
dc.date.accessioned | 2019-09-11T10:55:58Z | |
dc.date.created | 2015-07-10 | |
dc.date.issued | 2015 | |
dc.identifier | ntnudaim:12233 | |
dc.identifier.uri | http://hdl.handle.net/11250/2615811 | |
dc.description.abstract | Ultrasound (US) is widely used in medical imaging and boasts several advan-
tages over other image modalities such as magnetic resonance imaging (MRI)
and X-ray computed tomography (CT). Apart from being free of harmful ra-
diation (which is a drawback of CT), US is non-invasive and in comparison
inexpensive. US is also being used for intraoperative imaging and supports
real-time imaging both in 2D and 3D. However, one needs significant experi-
ence to accurately interpret an US image. This need for extensive training and
experience using US may present a bottleneck to effectively applying US in neu-
rosurgery. This thesis is an exploration of the usage of a serious game in the
education of surgeons in use of US to perform brain surgery. We will describe
the development and choices of a full system consisting of a serious game app,
a backend server and a desktop application for administrating content. | en |
dc.language | eng | |
dc.publisher | NTNU | |
dc.subject | Informatikk, Komplekse datasystemer | en |
dc.subject | Informatikk, Spillteknologi | en |
dc.title | Enhanced Ultrasound Interpretation for Use in Neurological Navigation: Developing a Learning Platform for Enhanced Ultrasound Enterpretation | en |
dc.type | Master thesis | en |
dc.source.pagenumber | 69 | |
dc.contributor.department | Norges teknisk-naturvitenskapelige universitet, Fakultet for informasjonsteknologi og elektroteknikk,Institutt for datateknologi og informatikk | nb_NO |
dc.date.embargoenddate | 10000-01-01 | |