Longitudinal in-vivo volumetry study for porcine liver regeneration from CT data

Longitudinal in-vivo volumetry study for porcine liver regeneration from CT data
Title:
Longitudinal in-vivo volumetry study for porcine liver regeneration from CT data
Other Titles:
2014 36th Annual International Conference of the IEEE Engineering in Medicine and Biology Society (EMBC)
DOI:
10.1109/EMBC.2014.6944684
Keywords:
Publication Date:
26 August 2014
Citation:
J. Zhou, W. Huang, S. K. Y. Chang, W. Xiong, T. Oo and W. Chen, "Longitudinal in-vivo volumetry study for porcine liver regeneration from CT data," 2014 36th Annual International Conference of the IEEE Engineering in Medicine and Biology Society, Chicago, IL, 2014, pp. 4743-4746.
Abstract:
The use of hepatic-like cloned cord lining epithelial cells (CLEC) to enhance liver regeneration has been proposed, but has not been properly investigated in a large animal study. The paper presents a system developed for the longitudinal in-vivo volumetry study on porcine liver regeneration from computed tomography (CT) data. In this system, a rough 3D liver volume is firstly automatically segmented by a 3D mesh deformation-based method. Then a refinement step to eliminate the segmentation error is carried out by a 3D post-editing tool, followed by mesh-volume conversion and volume calculation. This system was applied in a pilot study, which was composed of 4/4 pigs in the Experimental/Control Groups, to measure liver volumes over pre- to post-operative time course. Experimental results suggest that (1) the developed system can perform CT-based porcine liver volumetry efficiently, and (2) the infusion of CLEC to liver remnant may potentially enhance the liver regeneration.
License type:
PublisherCopyrights
Funding Info:
Joint Council Office, Agency for Science, Technology and Research (JCOAG03-FG05-2009) National Medical Research Council, Ministry of Health (NMRC/EDG/1059/2012)
Description:
(c) 2014 IEEE. Personal use of this material is permitted. Permission from IEEE must be obtained for all other users, 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 components of this work in other works.
ISSN:
1557-170X
978-1-4244-7929-0
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