Performance Evaluation of Amplitude and Phase Respiratory Gating Methods on Continuous-Bed-Motion Whole-Body PET Studies

Tsai, Yi‐Fang; Lu, Yihuan; Wu, Jing; Liu, Hui; Schleyer, Paul; Casey, Michael; Liu, Chi

doi:10.1109/trpms.2021.3075383

Cited by 1 publication

(1 citation statement)

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“…According to the Anzai trace, the PET data were sorted into five gates using the amplitude-based equal count method (Dawood et al 2007) for the single-bed datasets. The phase gating method was used for CBM datasets instead, as it is more reliable than the amplitude-based methods in the presence of breathing pattern variability during CBM acquisition (Tsai et al 2022). The same number of respiratory gates was applied.…”

Section: Methodsmentioning

confidence: 99%

Joint motion estimation and penalized image reconstruction algorithm with anatomical priors for gated TOF-PET/CT

Tsai¹,

Liu²

2023

Phys. Med. Biol.

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The presence of respiratory motion not only degrades the reconstructed image but also limits the utilization of anatomical priors in emission tomography. In this study, we explore the potential application of a joint motion estimation and penalized image reconstruction algorithm using anatomical priors in gated time-of-flight (TOF) positron emission tomography/computed tomography (PET/CT). The algorithm is able to warp both the activity image and the attenuation map to align them with the measured data with the facilitation of anatomical information contained in the attenuation map. Five patient datasets, three acquired in single-bed position and two acquired in whole-body continuous-bed-motion (CBM) mode, are included. For each patient, the attenuation map is derived from a breath-hold CT. The Parallel Levels Sets (PLS) is chosen as a representative anatomical prior. In addition to demonstrating the reliability of the estimated motion and the benefits of incorporating anatomical prior, preliminary results also indicate that the algorithm shows the potential to reconstruct an activity image in the space corresponding to that of the attenuation map, which could be applied to address the potential misalignment issue in applications involving multiple PET acquisitions but a single CT.

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Section: Methodsmentioning

confidence: 99%