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Evaluation of an attenuation correction method for PET/MR imaging of the head based on substitute CT images

Larsson, Anne (author)
Umeå universitet,Radiofysik
Johansson, Adam (author)
Umeå universitet,Radiofysik
Axelsson, Jan (author)
Umeå universitet,Radiofysik
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Nyholm, Tufve (author)
Umeå universitet,Radiofysik
Asklund, Thomas (author)
Umeå universitet,Radiofysik
Riklund, Katrine (author)
Umeå universitet,Diagnostisk radiologi
Karlsson, Mikael (author)
Umeå universitet,Radiofysik
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 (creator_code:org_t)
2012-09-07
2013
English.
In: Magnetic Resonance Materials in Physics, Biology and Medicine. - : Springer Science and Business Media LLC. - 0968-5243 .- 1352-8661. ; 26:1, s. 127-136
  • Journal article (peer-reviewed)
Abstract Subject headings
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  • The aim of this study was to evaluate MR-based attenuation correction of PET emission data of the head, based on a previously described technique that calculates substitute CT (sCT) images from a set of MR images. Images from eight patients, examined with F-18-FLT PET/CT and MRI, were included. sCT images were calculated and co-registered to the corresponding CT images, and transferred to the PET/CT scanner for reconstruction. The new reconstructions were then compared with the originals. The effect of replacing bone with soft tissue in the sCT-images was also evaluated. The average relative difference between the sCT-corrected PET images and the CT-corrected PET images was 1.6 % for the head and 1.9 % for the brain. The average standard deviations of the relative differences within the head were relatively high, at 13.2 %, primarily because of large differences in the nasal septa region. For the brain, the average standard deviation was lower, 4.1 %. The global average difference in the head when replacing bone with soft tissue was 11 %. The method presented here has a high rate of accuracy, but high-precision quantitative imaging of the nasal septa region is not possible at the moment.

Keyword

PET/MR
Attenuation correction
Substitute CT
F-18-FLT
UTE

Publication and Content Type

ref (subject category)
art (subject category)

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