RT Journal Article
SR Electronic
T1 Respiratory motion correction using novel particle tracking techniques
JF Journal of Nuclear Medicine
JO J Nucl Med
FD Society of Nuclear Medicine
SP 1362
OP 1362
VO 58
IS supplement 1
A1 Dustin Osborne
A1 Shelley Acuff
A1 Tasmia Tumpa
A1 Dongming Hu
YR 2017
UL http://jnm.snmjournals.org/content/58/supplement_1/1362.abstract
AB 1362Objectives: Respiratory motion during imaging is a confounding problem in PET/CT. Many methods exist but each have their own limitations. This work examines the use of novel new particle tracking methods applied to respiratory motion to enable accurate, hardware-free data correction that also enables selection of specific regions that allow more specific tuning of the motion correction for a given lesion.Methods: Patients were imaged using standard PET/CT with 64-bit listmode acquisition. Low dose point sources were placed in regions of respiratory motion for tracking by our new algorithms. Listmode data were rebinned into sinograms using standard utilities on the clinical unit. Respiratory waveforms were generated from the software tracking of the sources. Gating tags were inserted at local maxima in the y-axis for each respiratory cycle and compared to electronic signals. Amplitude-based gating was used to reconstruct static images with a duty cycle of 30%.Results: Comparison of waveforms between electronic and software-based gating indicated correlation between insertion points of > 99% with drift observed in the electronic signals. Amplitude-based gated reconstruction was possible using these new techniques and showed improved image quality in regions of respiratory motion (gastric detail shown in attached figure).Conclusion: The software-based respiratory gating techniques are able to produce accurate respiratory waveformsand correct insertion of gating tags. Visual comparison of data indicates that reconstructed images using tags insertedfrom our new algorithms produce images with reduced motion artifacts. Research Support: Funding provided through Molecular Imaging and Translational Research Program Departmental funds