Please use this identifier to cite or link to this item: http://hdl.handle.net/10397/29635
Title: A web-based image viewer for multiple PET-CT follow-up studies
Authors: Haraguchi, D
Kim, J
Kumar, A
Constantinescu, L
Wen, L
Feng, DD
Keywords: Follow-up scans
Multi-modality imaging
PET-CT
Response to treatment
Web-based viewer
Issue Date: 2011
Publisher: IEEE
Source: 2011 Annual International Conference of the IEEE Engineering in Medicine and Biology Society, EMBC, August 30 2011-September 3 2011, Boston, MA, p. 5279-5282 How to cite?
Journal: 2011 Annual International Conference of the IEEE Engineering in Medicine and Biology Society, EMBC, August 30 2011-September 3 2011, Boston, MA 
Abstract: There exist many viewers for single-modal medical images that are efficient and are equipped with powerful analysis tools. However, there is a distinct lack of efficient image viewers for multi-modality images, particularly for displaying multiple follow-up studies that depict a patient's response to treatment over time. Such viewers would be required to display large amounts of image data. In this study, we present the TAGIGEN viewer - a web-based image viewer designed specifically for the visualisation of multi-modality follow-up studies. We innovate by defining a series of dynamically generated image grid layouts that display sets of related images together in order to improve the ability to compare and assimilate the myriad images. We adopted a web-based client-server image streaming technology, thus enabling interactive navigation of the images in a computationally efficient manner. Furthermore, our web-based approach is interoperable and requires no software installation. We evaluated the ability of our viewer in displaying and understanding a patient's follow-up images in a case study with combined positron emission tomography and computed tomography (PET-CT) follow-up scans. We conducted a usability survey on 10 participants to measure the usefulness of our viewer, used as an outpatient viewer e.g. viewer designed for use by the patients, in tracking a patient's disease state across four PET-CT studies. Our initial results suggest that our viewer was able to efficiently visualise the patient data over time, and that the web-based implementation was fast (loading on average within 5.6 seconds with real-time navigation) and easy to use (overall survey score higher than 4 / 5).
URI: http://hdl.handle.net/10397/29635
ISBN: 978-1-4244-4121-1
978-1-4244-4122-8 (E-ISBN)
ISSN: 1557-170X
DOI: 10.1109/IEMBS.2011.6091306
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