Web-based manipulation of multiresolution micro-CT images

Lasse Wollatz; Simon J. Cox; Steven J. Johnston

doi:10.1109/eScience.2015.42

Web-based manipulation of multiresolution micro-CT images

Lasse Wollatz, Simon J. Cox, Steven J. Johnston

School of Computing

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution

78 Downloads (Pure)

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.

Original language	English
Title of host publication	Proceedings of the 2015 IEEE 11th International Conference on e-Science
Publisher	Institute of Electrical and Electronics Engineers Inc.
Pages	308-311
Number of pages	4
ISBN (Electronic)	978-1-4673-9325-6
DOIs	https://doi.org/10.1109/eScience.2015.42
Publication status	Published - 26 Oct 2015
Event	2015 IEEE 11th International Conference on e-Science - Munich, Germany Duration: 31 Aug 2015 → 4 Sept 2015

Conference

Conference	2015 IEEE 11th International Conference on e-Science
Country/Territory	Germany
City	Munich
Period	31/08/15 → 4/09/15

Access to Document

10.1109/eScience.2015.42

Wollatz_et_al_2020_AAM
© 2015 IEEE. Personal use of this material is permitted. Permission from IEEE must be obtained for all other uses, in any current or future media, including reprinting/republishing this material for advertising or promotional purposes, creating new collective works, for resale or redistribution to servers or lists, or reuse of any copyrighted component of this work in other works.
Accepted author manuscript (Post-print), 1.43 MB

Cite this

@inproceedings{8e4913827aaf4ca387699e0472d0390f,

title = "Web-based manipulation of multiresolution micro-CT images",

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.",

author = "Lasse Wollatz and Cox, {Simon J.} and Johnston, {Steven J.}",

year = "2015",

month = oct,

day = "26",

doi = "10.1109/eScience.2015.42",

language = "English",

pages = "308--311",

booktitle = "Proceedings of the 2015 IEEE 11th International Conference on e-Science",

publisher = "Institute of Electrical and Electronics Engineers Inc.",

address = "United States",

note = "2015 IEEE 11th International Conference on e-Science ; Conference date: 31-08-2015 Through 04-09-2015",

}

Wollatz, L, Cox, SJ & Johnston, SJ 2015, Web-based manipulation of multiresolution micro-CT images. in Proceedings of the 2015 IEEE 11th International Conference on e-Science. Institute of Electrical and Electronics Engineers Inc., pp. 308-311, 2015 IEEE 11th International Conference on e-Science, Munich, Bavaria, Germany, 31/08/15. https://doi.org/10.1109/eScience.2015.42

TY - GEN

T1 - Web-based manipulation of multiresolution micro-CT images

AU - Wollatz, Lasse

AU - Cox, Simon J.

AU - Johnston, Steven J.

PY - 2015/10/26

Y1 - 2015/10/26

N2 - 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.

AB - 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.

UR - http://ieeexplore.ieee.org/xpls/abs_all.jsp?arnumber=7304313&tag=1

U2 - 10.1109/eScience.2015.42

DO - 10.1109/eScience.2015.42

M3 - Conference contribution

SP - 308

EP - 311

BT - Proceedings of the 2015 IEEE 11th International Conference on e-Science

PB - Institute of Electrical and Electronics Engineers Inc.

T2 - 2015 IEEE 11th International Conference on e-Science

Y2 - 31 August 2015 through 4 September 2015

ER -

Web-based manipulation of multiresolution micro-CT images

Abstract

Conference

Access to Document

Fingerprint

Cite this