Author :
Hu, Z. ; Ojha, N. ; Renisch, S. ; Schulz, V. ; Torres, I. ; Buhl, A. ; Pal, D. ; Muswick, G. ; Penatzer, J. ; Guo, T. ; Bönert, P. ; Tung, C. ; Kaste, J. ; Morich, M. ; Havens, T. ; Maniawski, P. ; Schäfer, W. ; Günther, R.W. ; Krombach, G.A. ; Shao, L.
Abstract :
In this paper MR-based attenuation method was implemented for a clinical whole-body PET/MR system. While awaiting future clinical evaluation, the algorithm seems promising from preliminary patient data evaluation, from both qualitative PET image quality and quantification accuracy. While the 3-segment MRAC resembles the results from short PET transmission scans, future work will be to implement and validate segmentation of more tissue classes, such as cortical bone. Robustness of MR image truncation compensation and incorporation of flexible coils need to be improved.
Keywords :
biomedical MRI; bone; medical image processing; motion compensation; positron emission tomography; MR image truncation compensation; MR-based attenuation correction; PET image quality; cortical bone; flexible coils; image segmentation; tissue classes; whole-body sequential PET-MR system; Attenuation; Bones; Coils; Computed tomography; Image segmentation; Lungs; Magnetic resonance imaging; Positron emission tomography; Protons; Whole-body PET;
