Data-driven event-by-event respiratory motion correction using TOF PET list-mode centroid of distribution.

ABSTRACT: Data-driven respiratory gating techniques were developed to correct for respiratory motion in PET studies, without the help of external motion tracking systems. Due to the greatly increased image noise in gated reconstructions, it is desirable to develop a data-driven event-by-event respiratory motion correction method. In this study, using the Centroid-of-distribution (COD) algorithm, we established a data-driven event-by-event respiratory motion correction technique using TOF PET list-mode data, and investigated its performance by comparing with an external system-based correction method. Ten human scans with the pancreatic β-cell tracer ¹⁸F-FP-(+)-DTBZ were employed. Data-driven respiratory motions in superior-inferior (SI) and anterior-posterior (AP) directions were first de

SUBMITTER: Ren S 

PROVIDER: S-EPMC6048592 | biostudies-literature | 2017 Jun

REPOSITORIES: biostudies-literature