The University of Southampton
×
Filter your search:
University of Southampton Institutional Repository

Multiresolution Computed Tomography Viewer

Multiresolution Computed Tomography Viewer
Multiresolution Computed Tomography Viewer
The Multiresolution Computed Tomography Viewer, MCTV, allows large images from a micro-CT to be displayed over the web, whilst being easy to set up and not requiring any plug-ins to be enabled apart from JavaScript which is by default enabled on all major browsers. It allows easy navigation through a 3D image as well as modification of the threshold using JavaScript canvas. This code is based on the Multiresolution Image Viewer by Shawn Mikula (available at http://www.connectomes.org). A code for creating the tiles for the viewer is provided as part of LungJ (https://doi.org/10.5258/SOTON/401280)
MCTV , web-viewer
University of Southampton
Wollatz, Lasse
7a2e3e37-13e6-47ec-aed8-33078db4c3ff
Cox, Simon
0e62aaed-24ad-4a74-b996-f606e40e5c55
Johnston, Steven
6b903ec2-7bae-4a56-9c21-eea0a70bfa2b
Wollatz, Lasse
7a2e3e37-13e6-47ec-aed8-33078db4c3ff
Cox, Simon
0e62aaed-24ad-4a74-b996-f606e40e5c55
Johnston, Steven
6b903ec2-7bae-4a56-9c21-eea0a70bfa2b

Wollatz, Lasse, Cox, Simon and Johnston, Steven (2016) Multiresolution Computed Tomography Viewer. University of Southampton doi:10.5258/SOTON/400332 [Dataset]

Record type: Dataset

Abstract

The Multiresolution Computed Tomography Viewer, MCTV, allows large images from a micro-CT to be displayed over the web, whilst being easy to set up and not requiring any plug-ins to be enabled apart from JavaScript which is by default enabled on all major browsers. It allows easy navigation through a 3D image as well as modification of the threshold using JavaScript canvas. This code is based on the Multiresolution Image Viewer by Shawn Mikula (available at http://www.connectomes.org). A code for creating the tiles for the viewer is provided as part of LungJ (https://doi.org/10.5258/SOTON/401280)

Text
MCTVdocumentation.pdf - Dataset
Download (4MB)
Text
MCTV.htm - Dataset
Available under License Creative Commons Attribution Non-commercial.
Download (7kB)
Text
MCTV.js.txt - Dataset
Available under License Creative Commons Attribution Non-commercial.
Download (81kB)
Text
MCTV.css - Dataset
Available under License Creative Commons Attribution Non-commercial.
Download (6kB)
Archive
imagefiles.zip - Dataset
Available under License Creative Commons Attribution.
Download (146kB)

Show all 5 downloads.

More information

Published date: 2016
Additional Information: Please note that MCTV can't be previewed on this page. Please download all files and follow the instructions in the documentation if you want to try MCTV.
Related URLs:
Keywords: MCTV , web-viewer
Organisations: Education Hub, Computational Engineering & Design Group
Projects:
Medical Image Processing
Funded by: UNSPECIFIED (1511465)
1 October 2014 to 30 September 2017

Identifiers

Local EPrints ID: 400332
URI: http://eprints.soton.ac.uk/id/eprint/400332
DOI: doi:10.5258/SOTON/400332
PURE UUID: 93a90834-9a7e-4fbd-b91b-5e3c6c518bde
ORCID for Lasse Wollatz: ORCID iD orcid.org/0000-0002-8761-7884
ORCID for Steven Johnston: ORCID iD orcid.org/0000-0003-3864-7072

Catalogue record

Date deposited: 19 Oct 2016 15:19
Last modified: 04 Nov 2023 17:53

Export record

Altmetrics

Contributors

Creator: Lasse Wollatz ORCID iD
Creator: Simon Cox
Creator: Steven Johnston ORCID iD

Download statistics

Downloads from ePrints over the past year. Other digital versions may also be available to download e.g. from the publisher's website.

View more statistics

Library staff additional information
Atom RSS 1.0 RSS 2.0

Contact ePrints Soton: eprints@soton.ac.uk

ePrints Soton supports OAI 2.0 with a base URL of http://eprints.soton.ac.uk/cgi/oai2

This repository has been built using EPrints software, developed at the University of Southampton, but available to everyone to use.

We use cookies to ensure that we give you the best experience on our website. If you continue without changing your settings, we will assume that you are happy to receive cookies on the University of Southampton website.

×