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  Evaluation and Optimization of MR-Based Attenuation Correction Methods in Combined Brain PET/MR

Mantlik, F., Hofmann, M., Bezrukov, I., Schmidt, H., Kolb, A., Beyer, T., et al. (2011). Evaluation and Optimization of MR-Based Attenuation Correction Methods in Combined Brain PET/MR. Poster presented at 2011 IEEE Nuclear Science Symposium, Medical Imaging Conference (NSS-MIC 2011), Valencia, Spain.

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Item Permalink: http://hdl.handle.net/11858/00-001M-0000-0013-B9BC-7 Version Permalink: http://hdl.handle.net/21.11116/0000-0002-1CB4-4
Genre: Poster

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 Creators:
Mantlik, F1, Author              
Hofmann, M1, Author              
Bezrukov, I1, Author              
Schmidt, H, Author
Kolb, A, Author
Beyer, T, Author
Reimold, M, Author
Schölkopf, B1, Author              
Pichler, BJ, Author
Affiliations:
1Dept. Empirical Inference, Max Planck Institute for Intelligent Systems, Max Planck Society, ou_1497647              

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 Abstract: Combined PET/MR provides simultaneous molecular and functional information in an anatomical context with unique soft tissue contrast. However, PET/MR does not support direct derivation of attenuation maps of objects and tissues within the measured PET field-of-view. Valid attenuation maps are required for quantitative PET imaging, specifically for scientific brain studies. Therefore, several methods have been proposed for MR-based attenuation correction (MR-AC). Last year, we performed an evaluation of different MR-AC methods, including simple MR thresholding, atlas- and machine learning-based MR-AC. CT-based AC served as gold standard reference. RoIs from 2 anatomic brain atlases with different levels of detail were used for evaluation of correction accuracy. We now extend our evaluation of different MR-AC methods by using an enlarged dataset of 23 patients from the integrated BrainPET/MR (Siemens Healthcare). Further, we analyze options for improving the MR-AC performance in terms of speed and accuracy. Finally, we assess the impact of ignoring BrainPET positioning aids during the course of MR-AC. This extended study confirms the overall prediction accuracy evaluation results of the first evaluation in a larger patient population. Removing datasets affected by metal artifacts from the Atlas-Patch database helped to improve prediction accuracy, although the size of the database was reduced by one half. Significant improvement in prediction speed can be gained at a cost of only slightly reduced accuracy, while further optimizations are still possible.

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 Dates: 2011-10
 Publication Status: Published in print
 Pages: -
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 Identifiers: BibTex Citekey: MantlikHBSKBRSP2011
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Title: 2011 IEEE Nuclear Science Symposium, Medical Imaging Conference (NSS-MIC 2011)
Place of Event: Valencia, Spain
Start-/End Date: 2011-10-23 - 2011-10-29

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Title: 2011 IEEE Nuclear Science Symposium, Medical Imaging Conference (NSS-MIC 2011)
Source Genre: Proceedings
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Pages: - Volume / Issue: - Sequence Number: MIC18.M-96 Start / End Page: - Identifier: -