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Web-based manipulation of multiresolution micro-CT images

Web-based manipulation of multiresolution micro-CT images
Web-based manipulation of multiresolution micro-CT images
Micro Computed-Tomography (mu-CT) scanning is opening a new world for medical researchers. Scientific data of several tens of gigabytes per image is created and usually requires storage on a common server such as Picture Archiving and Communication Systems (PACS). Previewing this data online in a meaningful way is an essential part of these systems. Radiologists who have been working with CT data for a long time are commonly looking at two-dimensional slices of 3D image stacks. Conventional web-viewers such as Google Maps and Deep Zoom use tiled multiresolution-images for faster display of large 2D data. In the medical area this approach is being adapted for high resolution 2D images. Solutions that include basic image processing still rely on browser external solutions and high-performance client-machines. In this paper we optimized and modified Brain Maps API to create an interactive orthogonal-sectioning image viewer for medical mu-CT scans, based on JavaScript and HTML5. We show that tiling of images reduces the processing time by a factor of two. Different file formats are compared regarding their quality and time to display. As well a sample end-to-end application demonstrates the feasibility of this solution for custom made image acquisition systems.
308-311
Wollatz, Lasse
7a2e3e37-13e6-47ec-aed8-33078db4c3ff
Cox, Simon J.
0e62aaed-24ad-4a74-b996-f606e40e5c55
Johnston, Steven J.
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Wollatz, Lasse
7a2e3e37-13e6-47ec-aed8-33078db4c3ff
Cox, Simon J.
0e62aaed-24ad-4a74-b996-f606e40e5c55
Johnston, Steven J.
6b903ec2-7bae-4a56-9c21-eea0a70bfa2b

Wollatz, Lasse, Cox, Simon J. and Johnston, Steven J. (2015) Web-based manipulation of multiresolution micro-CT images. IEEE 11th International Conference on eScience, Muenchen, Germany. 31 Aug - 04 Sep 2015. pp. 308-311 . (doi:10.1109/eScience.2015.42).

Record type: Conference or Workshop Item (Poster)

Abstract

Micro Computed-Tomography (mu-CT) scanning is opening a new world for medical researchers. Scientific data of several tens of gigabytes per image is created and usually requires storage on a common server such as Picture Archiving and Communication Systems (PACS). Previewing this data online in a meaningful way is an essential part of these systems. Radiologists who have been working with CT data for a long time are commonly looking at two-dimensional slices of 3D image stacks. Conventional web-viewers such as Google Maps and Deep Zoom use tiled multiresolution-images for faster display of large 2D data. In the medical area this approach is being adapted for high resolution 2D images. Solutions that include basic image processing still rely on browser external solutions and high-performance client-machines. In this paper we optimized and modified Brain Maps API to create an interactive orthogonal-sectioning image viewer for medical mu-CT scans, based on JavaScript and HTML5. We show that tiling of images reduces the processing time by a factor of two. Different file formats are compared regarding their quality and time to display. As well a sample end-to-end application demonstrates the feasibility of this solution for custom made image acquisition systems.

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More information

Submitted date: 29 March 2015
Accepted/In Press date: 29 May 2015
Published date: November 2015
Venue - Dates: IEEE 11th International Conference on eScience, Muenchen, Germany, 2015-08-31 - 2015-09-04
Organisations: Computational Engineering & Design Group

Identifiers

Local EPrints ID: 383490
URI: http://eprints.soton.ac.uk/id/eprint/383490
PURE UUID: 3a92ac60-da48-40df-b982-b13df0a65ed7
ORCID for Lasse Wollatz: ORCID iD orcid.org/0000-0002-8761-7884
ORCID for Steven J. Johnston: ORCID iD orcid.org/0000-0003-3864-7072

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Date deposited: 05 Nov 2015 12:54
Last modified: 14 Mar 2024 21:43

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Contributors

Author: Lasse Wollatz ORCID iD
Author: Simon J. Cox

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