Paper: | SA-PM-OS4.3 |
Session: | Multimodality and Novel Imaging Methods |
Time: | Saturday, April 8, 17:20 - 17:40 |
Presentation: |
Oral
|
Title: |
Compensating for Patient Respiration in PET/CT Imaging with the Registered and Summed Phases (RASP) Procedure |
Authors: |
Paul Kinahan; University of Washington | | |
| Lawrence MacDonald; University of Washington | | |
| Lydia Ng; Allen Institute for Brain Science | | |
| Adam Alessio; University of Washington | | |
| W. Paul Segars; The Johns Hopkins University | | |
| Benjamin Tsui; The Johns Hopkins University | | |
| Sayan Pathak; Allen Institute for Brain Science | | |
Abstract: |
PET/CT imaging has introduced new challenges in accurate quantitation of lung nodules due to respiratory motion and mismatches in CT-based attenuation correction (CTAC). We used Monte Carlo simulations to investigate how respiratory-correlated CTAC can be optimized to account for mis-registration between the AC data and the PET data due to respiratory motion. This step also allows compensating for increased emission noise in respiratory respiratory-gated PET images by non-rigid image registration of the CTAC phases. These registration parameters are then applied to the attenuation-corrected PET phase images, which are then summed to reduce noise. A significant increase in the final PET SNR is demonstrated. |