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Visualization of subcutaneous insulin injections by x-ray computed tomography

Thomsen, M.; Poulsen, M.; Bech, Martin LU ; Velroyen, A.; Herzen, J.; Beckmann, F.; Feidenhans'l, R. and Pfeiffer, F. (2012) In Physics in Medicine and Biology 57(21). p.7191-7203
Abstract
We report how the three-dimensional structure of subcutaneous injections of soluble insulin can be visualized by x-ray computed tomography using an iodine based contrast agent. The injections investigated are performed ex vivo in porcine adipose tissue. Full tomography scans carried out at a laboratory x-ray source with a total acquisition time of about 1 min yield CT-images with an effective pixel size of 109 x 109 mu m(2). The depots are segmented using a modified Chan-Vese algorithm and we are able to observe differences in the shape of the injection depot and the position of the depot in the skin among equally performed injections. To overcome the beam hardening artefacts, which affect the quantitative prediction of the volume... (More)
We report how the three-dimensional structure of subcutaneous injections of soluble insulin can be visualized by x-ray computed tomography using an iodine based contrast agent. The injections investigated are performed ex vivo in porcine adipose tissue. Full tomography scans carried out at a laboratory x-ray source with a total acquisition time of about 1 min yield CT-images with an effective pixel size of 109 x 109 mu m(2). The depots are segmented using a modified Chan-Vese algorithm and we are able to observe differences in the shape of the injection depot and the position of the depot in the skin among equally performed injections. To overcome the beam hardening artefacts, which affect the quantitative prediction of the volume injected, we additionally present results concerning the visualization of two injections using synchrotron radiation. The spatial concentration distribution of iodine is calculated to show the dilution of the insulin drug inside the depot. Characterisation of the shape of the depot and the spatial concentration profile of the injected fluid is important knowledge when improving the clinical formulation of an insulin drug, the performance of injection devices and when predicting the effect of the drug through biomedical simulations. (Less)
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author
organization
publishing date
type
Contribution to journal
publication status
published
subject
in
Physics in Medicine and Biology
volume
57
issue
21
pages
7191 - 7203
publisher
IOP Publishing
external identifiers
  • wos:000310528700032
  • scopus:84868026819
ISSN
1361-6560
DOI
10.1088/0031-9155/57/21/7191
language
English
LU publication?
yes
id
95b03936-13f2-4774-85fb-ffaa24558c9c (old id 3256372)
date added to LUP
2013-01-07 09:38:07
date last changed
2017-09-10 03:22:07
@article{95b03936-13f2-4774-85fb-ffaa24558c9c,
  abstract     = {We report how the three-dimensional structure of subcutaneous injections of soluble insulin can be visualized by x-ray computed tomography using an iodine based contrast agent. The injections investigated are performed ex vivo in porcine adipose tissue. Full tomography scans carried out at a laboratory x-ray source with a total acquisition time of about 1 min yield CT-images with an effective pixel size of 109 x 109 mu m(2). The depots are segmented using a modified Chan-Vese algorithm and we are able to observe differences in the shape of the injection depot and the position of the depot in the skin among equally performed injections. To overcome the beam hardening artefacts, which affect the quantitative prediction of the volume injected, we additionally present results concerning the visualization of two injections using synchrotron radiation. The spatial concentration distribution of iodine is calculated to show the dilution of the insulin drug inside the depot. Characterisation of the shape of the depot and the spatial concentration profile of the injected fluid is important knowledge when improving the clinical formulation of an insulin drug, the performance of injection devices and when predicting the effect of the drug through biomedical simulations.},
  author       = {Thomsen, M. and Poulsen, M. and Bech, Martin and Velroyen, A. and Herzen, J. and Beckmann, F. and Feidenhans'l, R. and Pfeiffer, F.},
  issn         = {1361-6560},
  language     = {eng},
  number       = {21},
  pages        = {7191--7203},
  publisher    = {IOP Publishing},
  series       = {Physics in Medicine and Biology},
  title        = {Visualization of subcutaneous insulin injections by x-ray computed tomography},
  url          = {http://dx.doi.org/10.1088/0031-9155/57/21/7191},
  volume       = {57},
  year         = {2012},
}