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High resolution mu SPECT for brain activation analysis in small animals

Steven Staelens UGent, Tine Wyckhuys UGent, Steven Deleye UGent, Hans Hallez UGent, Stefaan Vandenberghe UGent, Bert Van Nieuwenhuyse UGent and Kim Vonck UGent (2009) IEEE Nuclear Science Symposium Conference Record. p.2702-2705
abstract
A stimulus on/off imaging study is often used to evaluate the brain's response to a presented visual, electrical or chemical trigger. Clinical software and human templates already exist but given the recent advent of ultrahigh resolution μ SPECT and μ PET, a larger need rises for a post processing platform to perform these subtraction molecular imaging studies also in small animals. We have designed such a multimodal framework to perform μ SPECT activation studies in rats thereby making use of μ CT and MRI for anatomical land marking. Our software solution is a combination of Amide, MRIcroN and a custom made Matlab implementation. We have studied the performance of different deep brain stimulations for which 6 rats were implanted with a multi-polar stimulation electrode in the right hippocampus. Each animal underwent a 99mTc-HMPAO μ SPECT with the Milabs U-SPECT-II and a μ CT scan with the GMI X-O CT before and after stimulation. Two line markers in oblique positions filled with low activity of 125I are used to register the μ SPECT and μ CT images. Afterwards the animals were sacrificed, their electrode was removed and a MRI scan was performed using the wrist coil of a Siemens Trio 3T. A semi-automated five step procedure delivers the activation map: (i) first the stimulus-on μ CT and the MRI are registered to the stimulus-off μ CT followed by (ii) the fusion of the off/on μ SPECT scans with their off/on μ CT counterparts. From the MRI, (iii) the rat brain is extracted, which is used as a mask for the calculation. Afterwards, (iv) both off/on μ SPECT scans are normalized and subtracted within this MRI brain mask. Finally, (v) the Z-score, representing the activation map, is achieved by dividing the result with the standard deviation of the masked stimulus-off μ SPECT. This semi-automated approach allows the experimental neu-roscientist to draw conclusions on the location, spatial extent and intensity of the small animal brains response to the stimulus.
Please use this url to cite or link to this publication:
author
organization
year
type
conference
publication status
published
subject
keyword
multipolar stimulation electrode, hippocampus, brain activation analysis, μ SPECT, image registration, single photon emission computed tomography, prosthetics, image resolution, biomedical MRI, biomedical electrodes, brain, computerised tomography, feature extraction, image fusion, Siemens Trio 3T, stimulus on/off imaging, MRI, μ CT
in
IEEE Nuclear Science Symposium Conference Record
editor
Bo Yu
pages
2702 - 2705
publisher
IEEE
place of publication
Piscataway, NJ, USA
conference name
2009 IEEE Nuclear Science Symposium and Medical Imaging Conference (NSS/MIC 2009)
conference location
Orlando, FL, USA
conference start
2009-10-25
conference end
2009-10-31
Web of Science type
Proceedings Paper
Web of Science id
000280505101222
ISSN
1082-3654
ISBN
9781424439614
DOI
10.1109/NSSMIC.2009.5401980
language
English
UGent publication?
yes
classification
P1
id
806673
handle
http://hdl.handle.net/1854/LU-806673
date created
2009-12-10 15:12:33
date last changed
2012-11-21 09:58:09
@inproceedings{806673,
  abstract     = {A stimulus on/off imaging study is often used to evaluate the brain's response to a presented visual, electrical or chemical trigger. Clinical software and human templates already exist but given the recent advent of ultrahigh resolution \ensuremath{\mu} SPECT and \ensuremath{\mu} PET, a larger need rises for a post processing platform to perform these subtraction molecular imaging studies also in small animals. We have designed such a multimodal framework to perform \ensuremath{\mu} SPECT activation studies in rats thereby making use of \ensuremath{\mu} CT and MRI for anatomical land marking. Our software solution is a combination of Amide, MRIcroN and a custom made Matlab implementation. We have studied the performance of different deep brain stimulations for which 6 rats were implanted with a multi-polar stimulation electrode in the right hippocampus. Each animal underwent a 99mTc-HMPAO \ensuremath{\mu} SPECT with the Milabs U-SPECT-II and a \ensuremath{\mu} CT scan with the GMI X-O CT before and after stimulation. Two line markers in oblique positions filled with low activity of 125I are used to register the \ensuremath{\mu} SPECT and \ensuremath{\mu} CT images. Afterwards the animals were sacrificed, their electrode was removed and a MRI scan was performed using the wrist coil of a Siemens Trio 3T. A semi-automated five step procedure delivers the activation map: (i) first the stimulus-on \ensuremath{\mu} CT and the MRI are registered to the stimulus-off \ensuremath{\mu} CT followed by (ii) the fusion of the off/on \ensuremath{\mu} SPECT scans with their off/on \ensuremath{\mu} CT counterparts. From the MRI, (iii) the rat brain is extracted, which is used as a mask for the calculation. Afterwards, (iv) both off/on \ensuremath{\mu} SPECT scans are normalized and subtracted within this MRI brain mask. Finally, (v) the Z-score, representing the activation map, is achieved by dividing the result with the standard deviation of the masked stimulus-off \ensuremath{\mu} SPECT. This semi-automated approach allows the experimental neu-roscientist to draw conclusions on the location, spatial extent and intensity of the small animal brains response to the stimulus.},
  author       = {Staelens, Steven and Wyckhuys, Tine and Deleye, Steven and Hallez, Hans and Vandenberghe, Stefaan and Van Nieuwenhuyse, Bert and Vonck, Kim},
  booktitle    = {IEEE Nuclear Science Symposium Conference Record},
  editor       = {Yu, Bo},
  isbn         = {9781424439614},
  issn         = {1082-3654},
  keyword      = {multipolar stimulation electrode,hippocampus,brain activation analysis,\ensuremath{\mu} SPECT,image registration,single photon emission computed tomography,prosthetics,image resolution,biomedical MRI,biomedical electrodes,brain,computerised tomography,feature extraction,image fusion,Siemens Trio 3T,stimulus on/off imaging,MRI,\ensuremath{\mu} CT},
  language     = {eng},
  location     = {Orlando, FL, USA},
  pages        = {2702--2705},
  publisher    = {IEEE},
  title        = {High resolution mu SPECT for brain activation analysis in small animals},
  url          = {http://dx.doi.org/10.1109/NSSMIC.2009.5401980},
  year         = {2009},
}

Chicago
Staelens, Steven, Tine Wyckhuys, Steven Deleye, Hans Hallez, Stefaan Vandenberghe, Bert Van Nieuwenhuyse, and Kim Vonck. 2009. “High Resolution Mu SPECT for Brain Activation Analysis in Small Animals.” In IEEE Nuclear Science Symposium Conference Record, ed. Bo Yu, 2702–2705. Piscataway, NJ, USA: IEEE.
APA
Staelens, S., Wyckhuys, T., Deleye, S., Hallez, H., Vandenberghe, S., Van Nieuwenhuyse, B., & Vonck, K. (2009). High resolution mu SPECT for brain activation analysis in small animals. In Bo Yu (Ed.), IEEE Nuclear Science Symposium Conference Record (pp. 2702–2705). Presented at the 2009 IEEE Nuclear Science Symposium and Medical Imaging Conference (NSS/MIC 2009), Piscataway, NJ, USA: IEEE.
Vancouver
1.
Staelens S, Wyckhuys T, Deleye S, Hallez H, Vandenberghe S, Van Nieuwenhuyse B, et al. High resolution mu SPECT for brain activation analysis in small animals. In: Yu B, editor. IEEE Nuclear Science Symposium Conference Record. Piscataway, NJ, USA: IEEE; 2009. p. 2702–5.
MLA
Staelens, Steven, Tine Wyckhuys, Steven Deleye, et al. “High Resolution Mu SPECT for Brain Activation Analysis in Small Animals.” IEEE Nuclear Science Symposium Conference Record. Ed. Bo Yu. Piscataway, NJ, USA: IEEE, 2009. 2702–2705. Print.