Motion correction of PET images using multiple acquisition frames

Abstract

Abstract-Positron emission tomography (PET) is a relatively lengthy brain imaging method. Because it is difficult for the subject to stay still during the data acquisition, head motion during scans is a source of image degradation. A simple data acquisition technique to reduce the effect of this problem is described. The technique associates the incoming data with the real-space position of the head. During the PET scan, the head position is constantly monitored with two video cameras and compared to its initial position. Every time the displacement for a region within the field of view (FOV) is larger than a specified threshold displacement, the PET data acquisition system starts to save the PET data in a new frame. The total number of frames required for a complete study depends on the magnitude of the head motion during the study and on the threshold displacement. At the end of the study, all the acquired frames are reconstructed independently and each image is rotated and translated to coincide with the initial position. When these images are summed, they produce a final image with fewer motion artefacts.

Hybrid Imaging: Instrumentation and Data Processing

“…Reprinted from Rausch et al [181] with permission from Elsevier. [193], during PET-image reconstruction-motion compensation during image reconstruction (MCIR) [194], and after PETimage reconstruction [195]-Reconstruction Transform Average (RTA). Recent studies have been performed to evaluate the performance of these three methodologies [196,197].…”

An Event-Driven Motion Correction Method for Neurological PET Studies of Awake Laboratory Animals

“…Methods include the multiple acquisition frame (MAF) method [5,6] and the line of response (LOR) rebinning technique [7][8][9][10]. Both require the continuous monitoring of the spatial pose of the head (assumed to be a rigid body) during scanning using a 6 degree of freedom (DoF) motion tracking system.…”

Correction of head movements in positron emission tomography using point source tracking system: a simulation study

“…These systems are usually composed of video cameras that monitor the light sources or reflective mirrors attached to the head of patients [4,5]. Although the technique has several advantages, the main disadvantage is that the light source needs to be affixed in a precisely known geometry [6,7].…”

“…(a) The first is the multiple acquisition frames (MAFs) method [4,6]. In this method, frames are reconstructed individually and then motion compensation is applied and summed.…”