Self-gated MRI motion modeling for respiratory motion compensation in integrated PET/MRI

• Published in: Medical image analysis 2015-01, Vol.19 (1), p.110-120
• Main Authors: Grimm, Robert, Fürst, Sebastian, Souvatzoglou, Michael, Forman, Christoph, Hutter, Jana, Dregely, Isabel, Ziegler, Sibylle I., Kiefer, Berthold, Hornegger, Joachim, Block, Kai Tobias, Nekolla, Stephan G.
• Format: Article
• Language: English
• Subjects: Abdominal Neoplasms - diagnosis; Algorithms; Computer Simulation; Humans; Image Enhancement - methods; Image Interpretation, Computer-Assisted - methods; Magnetic Resonance Imaging - methods; Models, Statistical; Motion; Motion compensation; Movement; MRI; Multimodal Imaging - methods; Pattern Recognition, Automated - methods; PET/MRI; Positron-Emission Tomography - methods; Reproducibility of Results; Respiratory gating; Respiratory Mechanics; Respiratory motion; Respiratory-Gated Imaging Techniques - methods; Sensitivity and Specificity; Subtraction Technique; Systems Integration; Thoracic Neoplasms - diagnosis
• ISSN: 1361-8415; 1361-8423
• DOI: 10.1016/j.media.2014.08.003

[Display omitted] •MRI-based compensation of respiratory motion for PET in integrated PET/MRI systems.•Motion modeling with the help of a stack-of-stars MRI pulse sequence and self-gating.•Extensive experiments: minimal number of respiratory bins, required scan time.•Ungated, gated and motion-compensated reconstructions in 15 oncological patients.•Motion compensation yields high lesion sharpness without SNR loss. Accurate localization and uptake quantification of lesions in the chest and abdomen using PET imaging is challenged by respiratory motion occurring during the exam. This work describes how a stack-of-stars MRI acquisition on integrated PET/MRI systems can be used to derive a high-resolution motion model, how many respiratory phases need to be differentiated, how much MRI scan time is required, and how the model is employed for motion-corrected PET reconstruction. MRI self-gating is applied to perform respiratory gating of the MRI data and simultaneously acquired PET raw data. After gated PET reconstruction, the MRI motion model is used to fuse the individual gates into a single, motion-compensated volume with high signal-to-noise ratio (SNR). The proposed method is evaluated in vivo for 15 clinical patients. The gating requires 5–7 bins to capture the motion to an average accuracy of 2mm. With 5 bins, the motion-modeling scan can be shortened to 3–4min. The motion-compensated reconstructions show significantly higher accuracy in lesion quantification in terms of standardized uptake value (SUV) and different measures of lesion contrast compared to ungated PET reconstruction. Furthermore, unlike gated reconstructions, the motion-compensated reconstruction does not lead to SNR loss.