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Atlas- and Pattern Recognition Based Attenuation Correction on Simultaneous Whole-Body PET/MR

2011

Poster

ei


With the recent availability of clinical whole-body PET/MRI it is possible to evaluate and further develop MR-based attenuation correction methods using simultaneously acquired PET/MR data. We present first results for MRAC on patient data acquired on a fully integrated whole-body PET/MRI (Biograph mMR, Siemens) using our method that applies atlas registration and pattern recognition (ATPR) and compare them to the segmentation-based (SEG) method provided by the manufacturer. The ATPR method makes use of a database of previously aligned pairs of MR-CT volumes to predict attenuation values on a continuous scale. The robustness of the method in presence of MR artifacts was improved by location and size based detection. Lesion to liver and lesion to blood ratios (LLR and LBR) were compared for both methods on 29 iso-contour ROIs in 4 patients. ATPR showed >20% higher LBR and LLR for ROIs in and >7% near osseous tissue. For ROIs in soft tissue, both methods yielded similar ratios with max. differences <6% . For ROIs located within metal artifacts in the MR image, ATPR showed >190% higher LLR and LBR than SEG, where ratios <0.1 occured. For lesions in the neighborhood of artifacts, both ratios were >15% higher for ATPR. If artifacts in MR volumes caused by metal implants are not accounted for in the computation of attenuation maps, they can lead to a strong decrease of lesion to background ratios, even to disappearance of hot spots. Metal implants are likely to occur in the patient collective receiving combined PET/MR scans, of our first 10 patients, 3 had metal implants. Our method is currently able to account for artifacts in the pelvis caused by prostheses. The ability of the ATPR method to account for bone leads to a significant increase of LLR and LBR in osseous tissue, which supports our previous evaluations with combined PET/CT and PET/MR data. For lesions within soft tissue, lesion to background ratios of ATPR and SEG were comparable.

Author(s): Bezrukov, I. and Schmidt, H. and Mantlik, F. and Schwenzer, N. and Hofmann, M. and Schölkopf, B. and Pichler, BJ.
Volume: 2011
Number (issue): MIC18.M-116
Year: 2011
Month: October
Day: 0

Department(s): Empirical Inference
Bibtex Type: Poster (poster)

Digital: 0
Event Name: 2011 IEEE Nuclear Science Symposium, Medical Imaging Conference (NSS-MIC 2011)
Event Place: Valencia, Spain

Links: Web

BibTex

@poster{BezrukovSMSHSP2011,
  title = {Atlas- and Pattern Recognition Based Attenuation Correction on Simultaneous Whole-Body PET/MR},
  author = {Bezrukov, I. and Schmidt, H. and Mantlik, F. and Schwenzer, N. and Hofmann, M. and Sch{\"o}lkopf, B. and Pichler, BJ.},
  volume = {2011},
  number = {MIC18.M-116},
  month = oct,
  year = {2011},
  month_numeric = {10}
}