Cited by 251Medical Imaging Techniques and ApplicationsAdvanced MRI Techniques and ApplicationsMedical Image Segmentation Techniques

PET/MR imaging of bone lesions—Implications for PET quantification from imperfect attenuation correction

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Samarin, Andrei, Burger, Cyrill, Wollenweber, Scott D., Crook, David W., Burger, Irene A., Schmid, Daniel T., von Schulthess, Gustav K., Kuhn, Felix P.·2012·European Journal of Nuclear Medicine and Molecular Imaging

Abstract

Purpose Accurate attenuation correction (AC) is essential for quantitative analysis of PET tracer distribution. In MR, the lack of cortical bone signal makes bone segmentation difficult and may require implementation of special sequences. The purpose of this study was to evaluate the need for accurate bone segmentation in MR-based AC for whole-body PET/MR imaging.Methods In 22 patients undergoing sequential PET/CT and 3-T MR imaging, modified CT AC maps were produced by replacing pixels with values of >100 HU, representing mostly bone structures, by pixels with a constant value of 36 HU corresponding to soft tissue, thereby simulating current MR-derived AC maps. A total of 141 FDG-positive osseous lesions and 50 soft-tissue lesions adjacent to bones were evaluated. The mean standardized uptake value (SUVmean) was measured in each lesion in PET images reconstructed once using the standard AC maps and once using the modified AC maps. Subsequently, the errors in lesion tracer uptake for the modified PET images were calculated using the standard PET image as a reference.Results Substitution of bone by soft tissue values in AC maps resulted in an underestimation of tracer uptake in osseous and soft tissue lesions adjacent to bones of 11.2 ± 5.4% (range 1.5-30.8%) and 3.2 ± 1.7% (range 0.2-4%), respectively. Analysis of the spine and pelvic osseous lesions revealed a substantial dependence of the error on lesion composition. For predominantly sclerotic spine lesions, the mean underestimation was 15.9 ± 3.4% (range 9.9-23.5%) and for osteolytic spine lesions, 7.2 ± 1.7% (range 4.9-9.3%), respectively.Conclusion 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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  • Systematic underestimation of SUV in bone tissue or lesions close to bone of >10% compared to PET/CT has been described, whereas SUV differences were <5% in other normal tissues.

    “Systematic underestimation of SUV in bone tissue or lesions close to the bone of >10% compared to PET/CT has been described [60,62], whereas SUV differences were <5% in other normal tissues [60].”

    From Influences on PET Quantification and Interpretation (2022) · cites this paper as [62]

    The Results report mean SUV underestimation of 11.2% across bone lesions and errors generally below 5% in other body areas. But Table 2 reports a mean underestimation of only 3.2% for soft-tissue lesions near bone, not >10%. The comparison was between PET images reconstructed with modified and standard attenuation-correction maps, rather than a direct PET/MR-versus-PET/CT measurement. (LLM, conf=0.88)

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References 14 · Cited by 251

Authors
Samarin, A., Burger, C., Wollenweber, S. D., Crook, D. W., Burger, I. A., Schmid, D. T., von Schulthess, G. K., & Kuhn, F. P.
Affiliations
University Hospital Zurich (CH)
Venue
European Journal of Nuclear Medicine and Molecular Imaging
Published
2012-04-14
Volume
39
Issue
7
Pages
1154-1160
ISSN
  • 1619-7070 (ISSN-L)
  • 1619-7089
OpenAlex
W2037425560
Cited by
251
References
14
Citations by year
2026: 2 · 2025: 2 · 2024: 4 · 2023: 9 · 2022: 9 · 2021: 11 · 2020: 19 · 2019: 22 · 2018: 21 · 2017: 28 · 2016: 20 · 2015: 31 · 2014: 30 · 2013: 31 · 2012: 12
FWCI
25.03
Type
journal article
Language
en
Open access
Locations
  • European Journal of Nuclear Medicine and Molecular Imaging (publishedVersion)
  • PubMed (publishedVersion)
  • Zurich Open Repository and Archive (University of Zurich) (acceptedVersion, other-oa)
  • reroDoc Digital Library (submittedVersion)
  • Zurich Open Repository and Archive (University of Zurich)
Topics
  • Health Sciences › Medicine › Radiology, Nuclear Medicine and Imaging › Medical Imaging Techniques and Applications
  • Health Sciences › Medicine › Radiology, Nuclear Medicine and Imaging › Advanced MRI Techniques and Applications
  • Physical Sciences › Computer Science › Computer Vision and Pattern Recognition › Medical Image Segmentation Techniques
Keywords
PET/MR, attenuation correction, bone segmentation, cortical bone, FDG uptake, bone lesions, standardized uptake value, PET quantification, sclerotic bone lesions, osteolytic lesions, soft tissue lesions
MeSH terms
Adult, Aged, Bone Neoplasms, Humans, Image Processing, Computer-Assisted, Magnetic Resonance Imaging, Male, Middle Aged, Retrospective Studies, Tomography, X-Ray Computed, Radiopharmaceuticals, Fluorodeoxyglucose F18, Positron-Emission Tomography

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