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Evaluation of an attenuation correction method for PET/MR imaging of the head based on substitute CT images
Umeå University, Faculty of Medicine, Department of Radiation Sciences, Radiation Physics.
Umeå University, Faculty of Medicine, Department of Radiation Sciences, Radiation Physics.
Umeå University, Faculty of Medicine, Department of Radiation Sciences, Radiation Physics.
Umeå University, Faculty of Medicine, Department of Radiation Sciences, Radiation Physics.
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2013 (English)In: Magnetic Resonance Materials in Physics, Biology and Medicine, ISSN 0968-5243, E-ISSN 1352-8661, Vol. 26, no 1, 127-136 p.Article in journal (Refereed) Published
Abstract [en]

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.

Place, publisher, year, edition, pages
2013. Vol. 26, no 1, 127-136 p.
Keyword [en]
PET/MR, Attenuation correction, Substitute CT, F-18-FLT, UTE
National Category
Medical and Health Sciences
Identifiers
URN: urn:nbn:se:umu:diva-67601DOI: 10.1007/s10334-012-0339-2ISI: 000314888300011OAI: oai:DiVA.org:umu-67601DiVA: diva2:624844
Available from: 2013-06-03 Created: 2013-03-25 Last updated: 2017-12-06Bibliographically approved

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Larsson, AnneJohansson, AdamAxelsson, JanNyholm, TufveAsklund, ThomasRiklund, KatrineKarlsson, Mikael
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