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Scott David Wollenweber

Researcher at GE Healthcare

Publications -  108
Citations -  1966

Scott David Wollenweber is an academic researcher from GE Healthcare. The author has contributed to research in topics: Imaging phantom & Positron emission tomography. The author has an hindex of 22, co-authored 106 publications receiving 1794 citations. Previous affiliations of Scott David Wollenweber include University of North Carolina at Chapel Hill & General Electric.

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PET/MR imaging of bone lesions – implications for PET quantification from imperfect attenuation correction

TL;DR: 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.
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Quantitative comparison of OSEM and penalized likelihood image reconstruction using relative difference penalties for clinical PET.

TL;DR: Improvements of PL in lesion quantitation accuracy compared to OSEM are demonstrated with a particular improvement in cold background regions such as lungs.
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Quiescent period respiratory gating for PET/CT.

TL;DR: The quiescent period gating methods for respiratory motion compensation could effectively improve tumor quantification with minimal noise increase.
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Comparison of 4-class and continuous fat/water methods for whole-body, MR-based PET attenuation correction

TL;DR: It is demonstrated that both 4class and continuousFat/water AC methods provided adequate quantitation in the body, and that the continuous fat/water method was within 5.7% on average for SUV mean in liver and 1.6% onaverage for SUV max for FDG-avid features.
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Evaluation of an atlas-based PET head attenuation correction using PET/CT & MR patient data

TL;DR: PET image visualization demonstrated spatial variations in activity concentration accuracy induced by the AC methods that were consistent with the approximations in each method, demonstrating that the atlas-based AC in the head provides adequate PET quantitation and image quality as compared to methods that do not account for bone.