2012
DOI: 10.1007/s00259-012-2113-0
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PET/MR imaging of bone lesions – implications for PET quantification from imperfect attenuation correction

Abstract: CT data simulating treating bone as soft tissue as is currently done in MR maps for PET AC leads to a substantial underestimation of tracer uptake in bone lesions and depends on lesion composition, the largest error being seen in sclerotic lesions. Therefore, depiction of cortical bone and other calcified areas in MR AC maps is necessary for accurate quantification of tracer uptake values in PET/MR imaging.

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Cited by 233 publications
(162 citation statements)
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“…Currently, the proposed approaches for MR AC in torso imaging are mainly based on tissue segmentation, pattern recognition techniques, templates or atlases [18][19][20][21][22][23]. Apart from lesions in bone [24] and in the skull [25,26], MR AC based on such techniques has been shown to yield comparable results to CT AC of PET data.…”
Section: Introductionmentioning
confidence: 94%
“…Currently, the proposed approaches for MR AC in torso imaging are mainly based on tissue segmentation, pattern recognition techniques, templates or atlases [18][19][20][21][22][23]. Apart from lesions in bone [24] and in the skull [25,26], MR AC based on such techniques has been shown to yield comparable results to CT AC of PET data.…”
Section: Introductionmentioning
confidence: 94%
“…In brain PET, ignoring bone has been suggested to cause quantification bias (29) . In whole‐body PET/MR imaging, however, neglecting bone in segmented attenuation images has been suggested to cause large errors only in regions that are inside or near bones 30 , 31 , 32 . In one example demonstrated by Samarin et al, (32) classifying bone as soft tissue resulted in less than 6% difference for PET voxels in the heart region.…”
Section: Discussionmentioning
confidence: 99%
“…In whole‐body PET/MR imaging, however, neglecting bone in segmented attenuation images has been suggested to cause large errors only in regions that are inside or near bones 30 , 31 , 32 . In one example demonstrated by Samarin et al, (32) classifying bone as soft tissue resulted in less than 6% difference for PET voxels in the heart region. Ouyang et al (33) also concluded that three‐class segmentation can be sufficient for PET quantification in the heart, as it yields less than 5% quantification difference after compensation.…”
Section: Discussionmentioning
confidence: 99%
“…Cortical bone contains relatively few protons that contribute to the MR signal. Hence, standardized uptake values (SUVs) for osseous lesions have been reported to be underestimated by an average of 11 % and as much as 16 % for sclerotic spine lesions [9]. Despite also finding significantly lower SUVs for both FDG-avid focal bone lesions (FFBLs) and normal background bone (BB), Eiber et al have reported no significant qualitative differences in the visual conspicuity of FFBLs on PET/CT versus PET/MRI [10].…”
Section: Introductionmentioning
confidence: 99%