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Notice that some of the discrepancies, such as those found in the vertebrae and skull cavities in Figure 9, are due to residual misregistration rather than to bone classification errors.
When using an ultrashort echo sequence for bone classification or accounting for cortical bone by use of a recently proposed [11] MR-based method to predict continuous attenuation values for the bony skull, the FDG uptake estimation was improved (~7 % underestimated or ~2%% overestimated).
Age Sex Positiona Bone qualityb 1 34 Female 46 3 2 38 Female 36 3 3 43 Female 37 3 4 64 Male 46 2 5 30 Female 47 3 6 48 Female 36 2 7 57 Male 36 3 8 28 Female 46 3 9 33 Male 46 2 10 49 Female 46 3 aFDI tooth-numbering system bLekholm et al. [36] bone classification.
Preoperative radiographs were categorized according to bone stock types using the Dorr cortical bone classification (Dorr et al. 1990).
The osteoporotic bone in our study was bone type III-IV and the osteoarthrosis bone was type I-II according to Lekholm and Zarb bone classification [ 40].
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Patients were grouped according to Bones classification (SIRS, sepsis, severe sepsis, septic shock, SDMV).
It provides a short introduction on bone tumour classification and how tumours may affect the skeleton.
According to the Anderson Orthopaedic Research Institute bone defect classification, femoral defects were rated as F3 in 14 knees and F2B in 3 knees.
The Anderson Orthopaedic Research Institute (AORI) Bone Defect Classification [8, 9] was used to classify bone loss of the distal femur.
Bone defect classification, according to Paprosky [8], was performed intraoperatively by the surgeon at the time of spacer implantation and at revision.
The study of tri-modality datasets shows that improved bone tissue classification can be achieved by estimating maps of the posterior probability of voxels belonging to a particular tissue class, given a measured pair of UTE echoes.
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Justyna Jupowicz-Kozak
CEO of Professional Science Editing for Scientists @ prosciediting.com